SORTING & PEER EFFECTSCORE◉ LIVE LAB
Schelling Segregation
Mild individual preference for similar neighbors aggregates to stark city-wide segregation.
How it works
- Agents move when fewer than ~1/3 of neighbors look like them.
- Nobody demands segregation — tolerance is the only input.
- Local moves cascade into city-wide blocks.
Use → Housing, schools, platforms. Try the tolerance sandbox below.
Watch out → Reading preferences straight off patterns: tolerant people, segregated map.
Try it → Drag the threshold slider in the lab — 35% still segregates.
REDCAPE jobs → Reason · Explain · Predict
Free sources → projectmesa/mesa-examples (Schelling, MIT) • NetLogo Segregation model
INTERACTIVE LABoriginal recreation — poke it
round 0 • happy 76% • avg. similar neighbors 49% • red ring = wants to move
Attach to a lattice — combines with
Different families, shared jobs. Disagreement between them is where insight lives.
LINEAR & NONLINEAR
Categorical & Threshold Models
Buckets and cutoffs turn messy attributes into testable if-then rules.
SHARED JOBS: REASON · PREDICT
DISTRIBUTIONSEntropy & Uncertainty
Entropy scores surprise: equilibrium, cyclic, random and complex outcomes sit at different levels of uncertainty.
SHARED JOBS: EXPLAIN · PREDICT
GROWTHExponential & Solow Growth
Compounding plus capital, labor and ideas explain why some economies stall.
SHARED JOBS: EXPLAIN · PREDICT