The inventor of modern probability

Posted to Statistics  |  Tags:  |  Nathan Yau

Andrei Kolmogorov is a name unfamiliar to most, but his work had lasting impact. Slava Gerovitch profiled the mathematician, describing the change in thought towards probability theory, which was once more of a joke than a serious approach to evaluate the world. I especially liked the bit about Kolmogorov’s appreciation for the arts.

Music and literature were deeply important to Kolmogorov, who believed he could analyze them probabilistically to gain insight into the inner workings of the human mind. He was a cultural elitist who believed in a hierarchy of artistic values. At the pinnacle were the writings of Goethe, Pushkin, and Thomas Mann, alongside the compositions of Bach, Vivaldi, Mozart, and Beethoven—works whose enduring value resembled eternal mathematical truths. Kolmogorov stressed that every true work of art was a unique creation, something unlikely by definition, something outside the realm of simple statistical regularity. “Is it possible to include [Tolstoy’s War and Peace] in a reasonable way into the set of ‘all possible novels’ and further to postulate the existence of a certain probability distribution in this set?” he asked, sarcastically, in a 1965 article.


Life expectancy changes

The data goes back to 1960 and up to the most current estimates for 2009. Each line represents a country.

Top Brewery Road Trip, Routed Algorithmically

There are a lot of great craft breweries in the United States, but there is only so much time. This is the computed best way to get to the top rated breweries and how to maximize the beer tasting experience. Every journey begins with a single sip.

Famous Movie Quotes as Charts

In celebration of their 100-year anniversary, the American Film Institute selected the 100 most memorable quotes from American cinema, and …

Think Like a Statistician – Without the Math

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.