Library / Distributions / Normal Distribution
Normal Distribution
Bell-curve averaging: many small independent effects sum to a predictable center with thin tails.
INTERACTIVE LAB
Tolerance sandbox (original recreation)
happy 76% • avg. similar neighbors 49% • red ring = wants to move
DISTRIBUTIONS
When to use / misuse
Use → Use when errors aggregate. Don't use for rich-get-richer or contagious outcomes.
Difficulty → Starter
REDCAPE → Reason · Predict
agent: normal-checker family: Distributions combine_with: [two other families] rule: state failure mode before acting
Free sources: Coursera Model Thinking M2 (CLT) • OpenIntro Statistics (CC BY-SA)
Attach to a lattice — combines with
Different families, shared jobs. Click to open alongside.
LINEAR
Categorical & Threshold Models
Buckets and cutoffs turn messy attributes into testable if-then rules.
SHARED JOBS: REASON · PREDICT
LINEARLinear Regression
Best-fit line plus a causation audit. A big coefficient is not a big cause.
SHARED JOBS: REASON · PREDICT
DYNAMICSRandom Walk & Markets
Unpredictable steps accumulate; efficient markets leave mostly randomness behind.
SHARED JOBS: REASON · PREDICT