Will Kurt

Data scientist and author best known for the Count Bayesie blog and the book Bayesian Statistics the Fun Way (No Starch Press, 2019), which introduces Bayesian thinking through approachable, practical examples.

This list of books are ONLY the books that have been ranked on the lists that are aggregated on this site. This is not a comprehensive list of all books by this author.

  1. 1. Bayesian Statistics The Fun Way

    Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks

    An accessible, example-driven introduction to Bayesian thinking that uses playful puzzles, games, and everyday scenarios to build intuition for probability, Bayes’ theorem, and updating beliefs. It explains priors, likelihoods, and posteriors with minimal math, introduces key distributions like the binomial and beta, and shows how to apply Bayesian models to real-world decisions such as A/B testing and forecasting, emphasizing clear reasoning over formulas.

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