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For Researchers · Schelling Segregation

Schelling Segregation for a fish school

Built for researchers prototyping or validating an idea. Prototype fast, reproduce exactly, and share a citable, interactive version of your model. Simulate a fish school live below — adjust the inputs and watch it respond, right in your browser.

Schelling SegregationLive

emergent segregation from mild bias

Controls

Speed1×

Presets

Similarity wanted

Empty fraction

Each agent is happy if at least this fraction of its neighbors share its color; unhappy agents move to a random empty cell. Even a mild preference for similar neighbors drives sharp, global segregation — Schelling's famous result.

▶ Run in Python

Data Inspector

Happy0.0%

Threshold35%

Grid80²

Governing equation

move if \frac{n _{like}}{n _{total}} < τ = 0.35

Reading this result: Even a moderate 35% preference drives global segregation — Schelling's core surprise — with the grid still settling.

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Frequently asked questions

Is this good for researchers?: Yes — this version of "Schelling Segregation for a fish school" is framed for researchers prototyping or validating an idea. Prototype fast, reproduce exactly, and share a citable, interactive version of your model.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.