In a tremendous public service, Count Bayesie (Will Kurt) has put together a series of his blog posts that amount to a superbly clear and accessible guide to Bayesian statistics. Highly recommended, especially for doctors but also for economists – great teaching material here too.

Generously, the guide starts by recommending another book, Nate Silver’s excellent [amazon_link id=”0141975652″ target=”_blank” ]The Signal and the Noise[/amazon_link], something I would put on the reading list of all students, even those who only need to be minimally numerate to get their degree. (After all, how else can we grow them into intelligent voters?)

Encouragingly, Will Kurt himself started with an English degree before becoming a data scientist. Code is language too, and there is poetry in it. Even in probability and statistics.

[amazon_image id=”0141975652″ link=”true” target=”_blank” size=”medium” ]The Signal and the Noise: The Art and Science of Prediction[/amazon_image]