A visual explanation of statistical power and an eschatology of psychology.
An anecdote from investment banking shows how bad statistics hide in every industry, and what makes people learn to avoid them.
Using data analysis to decide what this post should be like (long and nerdy) and when to use p-values (never).
It's time to turn my data modeling skills to the one question that matters: how long will you need to play to catch every Pokémon?
A quick estimate of experimental power can discern good science from bullshit. Too bad that some scientists forget to do it themselves.
Applying the central limit theorem to figure out who votes for Trump and Bernie.
My journey to finding love using science and data. Part 1 - how to own online dating.
Some housekeeping notes and figuring out what the jackpot has to be for a positive-value lottery.
An evil spell is making everybody you know ignorant, hateful and irrational. Can you break it?
I analyze a statistics chart that manages to conclude the opposite of what the data says by making every possible error.
This is part 2 of a series about the statistics of global soccer performance, part 1 is here. A Picture with a Thousand Words on It The point of this week's post was to get to this chart, showing how good each country is at soccer independent of population and region of the world: You are … Continue reading Footballinear Socceregression
Isn't it strange that the Chinese aren't world champions in every single team sport? Here's why it's strange: China has 19% of the world's population. For individual sports that may not be a huge deal: if tennis ability and opportunity are distributed equally around the world, there would be only a 19% chance that the best … Continue reading Tails of Great Soccer Players