Caveats and Limitations of A/B Testing at Growth Tech Companies

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

Multiple Linear Regression in SQL with Only SUM() and AVG()

This post is inspired by someone dropping this in my mentions today: The technique the authors use is cute, but it’s not a true arbitrary multivariate regression. They cheat a little bit using dummy variables for the majority of their coefficients. I respect it, but it’s not an arbitrary regression. Fortunately, it is possible to … Continue reading Multiple Linear Regression in SQL with Only SUM() and AVG()

Advent of Code 2021 in Google Sheets: First 4 Days

You don’t need to be a “coder” to solve coding problems. If you know Microsoft Excel or Google Sheets, then you can solve these problems, too. There’s tons of overlap between coding and working in spreadsheets. Sign up for the 2021 Advent of Code here. Take a stab at these problems with Microsoft Excel or … Continue reading Advent of Code 2021 in Google Sheets: First 4 Days

Proximate Cause & Theories of Agency

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

Retrospective on “On Moving From Statistics to Machine Learning”

My old piece is getting traction thanks to a share on Hacker News, where some of the most insufferable tech guys in California try to dissect in the comments whether I have deep-seated psychological issues. Also, I was mentioned in this blog post at Win Vector LLC, which offers a fair and very good critique … Continue reading Retrospective on “On Moving From Statistics to Machine Learning”

Why Do So Many Practicing Data Scientists Not Understand Logistic Regression?

The U.S. Weather Service has always phrased rain forecasts as probabilities. I do not want a classification of “it will rain today.” There is a slight loss/disutility of carrying an umbrella, and I want to be the one to make the tradeoff. Dr. Frank Harrell, https://www.fharrell.com/post/classification/ This is coming from personal experience and from multiple … Continue reading Why Do So Many Practicing Data Scientists Not Understand Logistic Regression?