Ergodicity Breaking
Updated 2026-08-08
INTRODUCTION
English translation pending.
CORE DEFINITION
A concept from statistical physics and its applications to economics, developed in that context by Ole Peters. A system is ergodic when the average over time for a single trajectory equals the average over many parallel copies at one moment. When ergodicity breaks, the two diverge, and individual long-run outcomes differ from the group average. The core claim is that pooled averages can mislead about individual fates. The qualification is that this applies to non-ergodic processes rather than to every random system.
SCAFFOLDING EFFECT
Reduce cognitive load
- Use Time-Path Check: Evaluate a repeated decision along one person's actual sequence of outcomes, not the group average. - Use Ruin Screening: Reject options that include any absorbing state where you cannot continue. - Use Multiplicative Framing: Track the compounding of wealth or survival rather than simple arithmetic averages.
Anchor fast decisions
When outcomes multiply over time, a single catastrophic result zeroes out every subsequent step, so one trajectory can never recover the average that others achieve. Because the losing path is absorbing, the time average collapses even though the cross-sectional average stays high. Decisions that look attractive in the pooled statistic are therefore ruinous for the individual who must actually live through the sequence.
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/Ergodicityverified
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