# Seeing Theory

> An interactive visual introduction to probability and statistics concepts.

Seeing Theory is an educational web project created at Brown University that explains foundational statistics and probability concepts through animated, hands-on simulations. Built using D3.js, it lets learners manipulate parameters directly to build intuition for abstract mathematical principles. It requires no sign-up or installation and is free to use directly in any browser.

Website: https://seeing-theory.brown.edu/

## What it is for

- Develop visual intuition for core probability and statistical concepts
- Demonstrate distributions and sampling theorems during statistics lessons
- Experiment with interactive simulations of Bayesian inference and regression analysis

## Features

- Interactive D3.js simulations for real-time statistical exploration
- Six core chapters covering Basic Probability to Regression Analysis
- Visual modules for Central Limit Theorem, Bayes' Theorem, and Bootstrapping
- Downloadable companion textbook in PDF format
- Multi-language support in English, Chinese, and Spanish
- Zero login or account registration required

## Pricing

Free to use

## Details

- Type: Website
- Category: [Learning](https://xiry.app/topics/learning.md)
- Open source: yes
- Platforms: Web
- For: Students, educators, and self-learners exploring statistics and probability.
- Alternative to: Khan Academy, Brilliant
- Tags: statistics, probability, data visualization, education, math, d3js

## Why it was saved

- [@setupsai, 29 July 2025](https://www.instagram.com/reel/DMsae_KzUPQ/): Makes abstract mathematical concepts like conditional probability, the Central Limit Theorem, and Bayesian inference intuitive and easy to grasp without needing to create an account.

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Updated 3 October 2026. Page: https://xiry.app/resources/seeing-theory

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