Schelling Segregation
Mild individual preference for similar neighbors aggregates to stark city-wide segregation.
Use → Housing, schools, platforms. Try the tolerance sandbox below.
Core • Reason · Explain · Predict
One model is always wrong. A lattice of many — distributions, networks, diffusion, games, dynamics — turns raw data into judgment. Browse 33 of them, poke live simulations, or ask the Mentor what fits your data.
happy 76% • avg. similar neighbors 49% • red ring = wants to move
Start from a decision or a curiosity — forecasting, pricing, segregation, epidemics. The library is organized by job, not by math.
Open any model card for the mechanism, the diagram, the misuse warnings, and a live sandbox. Then read its neighbors — wisdom lives between models.
Take 3–5 models to your problem, note where they disagree, and run the smallest test that could prove you wrong.
“I have weekly sales and ad spend — what should I use?”
→ Bass for the launch curve, regression for spend response, bandits for budget splits. Three models, one hedged plan.
Mild individual preference for similar neighbors aggregates to stark city-wide segregation.
Use → Housing, schools, platforms. Try the tolerance sandbox below.
Core • Reason · Explain · Predict
Susceptible–Infected–Recovered with an R0 tipping point. Same math for flu and pop-star fever.
Use → Epidemics, memes, outages. Push R below 1 or segment the network.
Core • Predict · Act · Explore
Rich-get-richer: a few huge winners, many tiny players. Straight line on log-log.
Use → City sizes, book sales, network degrees. Never average it like a normal.
Starter • Explain · Predict
Balance pulling the best-known lever against testing new ones. Regret is the score.
Use → Trials, dosing, ad creative. Run small experiments, then exploit.
Core • Act · Explore
Click any card — it opens as a modal with diagrams, explanations, and labs.
“To be wise you must arrange your experiences on a latticework of models.” — after Page
Disclaimer: original syntheses inspired by The Model Thinker — no pages or figures reproduced; every diagram is a recreation. Support the author: buy the book. Site + code MIT.