Red Blob Games publishes interactive tutorials and visual explanations of mathematics and algorithms.
Seeing Theory
Seeing Theory uses visual explanations to introduce probability and statistics.

About Seeing Theory
Seeing Theory is an educational website that introduces probability and statistics through interactive visualizations. It is organized into six chapters: Basic Probability, Compound Probability, Probability Distributions, Frequentist Inference, Bayesian Inference, and Regression Analysis. Each chapter covers a set of core concepts, such as expectation and variance, conditional probability, the central limit theorem, bootstrapping, and ordinary least squares.
The site was created by Daniel Kunin while he was an undergraduate at Brown University. Its stated goal is to make statistics more accessible. The homepage marks the site as archived for reference, and the team describes a textbook based on the site as still in progress, with a draft PDF available for download.
Key features
- Six chapters covering probability and statistics from basic concepts to regression
- Interactive visualizations that illustrate statistical concepts
- Coverage of Bayesian inference, including Bayes' theorem and prior-to-posterior updating
- Coverage of frequentist inference, including point and interval estimation and the bootstrap
- Interface available in English, Chinese, and Spanish
- Downloadable draft PDF of a textbook under development
- Presents core probability and statistics topics through interactive visual explanations
- Covers a full introductory sequence from basic probability to regression analysis
- Lists its interface in English, Chinese, and Spanish
- The homepage states that the site is archived for reference
- The companion textbook is described as a draft still in progress
Seeing Theory at a glance
- Website
- seeing-theory.brown.edu
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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