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If you Google for an explainer on the differences and use cases for the arithmetic mean vs geometric mean vs harmonic mean, I feel like everything you’ll find is pretty bad and won’t properly explain the intuition of what’s going on and why you’d ever do one or the other. In fact, you sometimes will … Continue reading Intuitive Explanation of Arithmetic, Geometric, & Harmonic Mean

This is more of a personal post than something intended to be profound. If you are looking for a point, you will not find one here. Frankly I am not even sure who the target audience is for this (probably “data scientists who hate themselves”?). I had been a data scientist for the past few … Continue reading Goodbye, Data Science

For non-tech industry folks, an “A/B test” is just a randomized controlled trial where you split users or other things into treatment and control groups, and then later compare key metrics across those groups and decide which one performed better, so you can learn whether the treatment or control group is preferable. For the context … Continue reading Caveats and Limitations of A/B Testing at Growth Tech Companies

I have deliberately avoided using this blog to engage in overt political discourse, but I’ve never barred myself from political metadiscourse. Political discourse is about our beliefs on governance; political metadiscourse is more about understanding how people arrive at those beliefs and how those beliefs are expressed. I’ve been posting on the internet for over … Continue reading Proximate Cause & Theories of Agency

Update: The code for these animations is available here. Another Update: I think some of the explanations on this page may be helped with more colors. I have some updated visuals here that include colors. The Frisch-Waugh-Lovell theorem states that within a multivariate regression on and , the coefficient for , which is , will … Continue reading Frisch-Waugh-Lovell Theorem: Animated