Office of Second Looks
Deep looks at the NBA: the stats, what they mean, and how to think better about the game.
Each project takes one real question about a sport and asks what statistics can actually
say about it: tested with real analysis, written for fans, and showing its work.
Why this exists
- Ask real questions and see what statistics can actually say about them.
Each one is a genuine "is this true?", tested with real analysis, not just narrated with a stat.
- Build a systematic mental model of a sport, one question at a time, with
shared infrastructure so findings from one question stay comparable to the next.
- Learn statistics by using it, not just reading about it. The method matters
as much as the answer, and it should show its work.
- Write for an average fan, not a stats audience. Findings need to be
engaging and correct at the same time.
- Leave the reader with more statistical intuition than they came in with,
showing what a normal distribution or a power law actually looks like in real terms.
- Bridge the gap between analytics people and the fans who dismiss analytics.
Show the reasoning behind each finding, including the checks that tried to break it.
Topics