Writing / Math
Basic Probability
Experiment with coins, dice, and cards to build intuition for chance, expectation, and variance.
probabilitystatisticsrandomness
ST
A CREATIVE TEAM
Seeing Theory
Probability · Statistics
Probability and statistics visualizations by Daniel Kunin, Jingru Guo, Tyler Dae Devlin, and Daniel Xiang.
seeing-theory.brown.eduDiscovered through Explainer Tools. Explainer Tools ↗
The work, all in one place.
6 selected projects, with credit and a path to the original.
Writing / Math
Probability Distributions
Define random variables, reshape distributions, and sample averages to explore the central limit theorem.
probabilitydistributionscentral limit theorem
Writing / Math
Bayesian Inference
Change probabilities and observations to see how evidence updates prior beliefs into posterior estimates.
statisticsbayesian inferenceprobability
Writing / Math
Regression Analysis
Fit lines to data interactively and explore linear regression and correlation.
statisticsregression
Writing / Math
Compound Probability
Build sets in a Venn diagram, compare permutations and combinations, and explore conditional probability.
probabilitystatisticscombinatorics
Writing / Math
Frequentist Inference
Drop random samples to estimate pi, generate confidence intervals and explore bootstrap resampling.
probabilitystatisticsinference
The story along the way.
Original publication and update records, plus explicitly labeled repository milestones.
The work is here. The history is still growing.
No sourced dates are available for this selection yet. Collection dates do not become launch dates.
About this creative practice
Seeing Theory is a visual introduction to probability and statistics created by Daniel Kunin while an undergraduate at Brown University, with credited team members Jingru Guo, Tyler Dae Devlin and Daniel Xiang.
Its six chapters use interactive visualizations to connect probability, distributions, inference and regression. The original site now identifies itself as archived for reference.
Ideas and tools in the work
ProbabilityStatisticsStatistical inferenceData visualization
Explore the body of work
This selection connects 6 projects across writing. Follow the project links for the original experience; use the build log for dated context where evidence is available.
Credited collaborators
Daniel Kunin, Jingru Guo, Tyler Dae Devlin, Daniel Xiang
Follow the sources
Compiled from public catalog attributions and linked original sources. Descriptions are editorial summaries, not statements made by the creator. This profile has not been claimed or endorsed.
Original site, team credit and archive noticeseeing-theory.brown.edu Public X profilex.com Explainer Tools collectionexplainertools.com
Catalog sources gathered October 23, 2026. Primary-source access varies, particularly on social platforms. This is a selected portfolio, not a lifetime total. Images remain credited to their original creators.
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