Something I keep returning to when reflecting on my training: stats was taught as a checklist, not a way of thinking. Worse, the curriculum shaped what questions we thought to ask, not just how we answered them. New piece on what that costs, and what it could have been. medium.com/@dataforyou/...

Statistical Technicians

The case for teaching statistics as reasoning, not procedure

medium.com

Do we still need to test for equal variances before running ANOVA? Probably not as a decision rule. Welch's ANOVA, robust SEs, and variance-modelling approaches handle heterogeneity directly — assumption tests have shifted from gatekeepers to descriptive companions. medium.com/p/do-we-real...

Do We Really Need to Test Variances Anymore?

Why classical assumption checks are no longer gatekeepers, and how modern ANOVA methods handle heterogeneity directly.

medium.com

Revised post: Prussian soldiers, horse kicks, and Bayesian inference 🐎 I've revamped an old post on the Gamma-Poisson model — more historical context, a cleaner derivation, and a new section showing how the posterior updates sequentially across 20 years of data. medium.com/p/kicking-it...

Another one from the archives. This was actually the first blog I ever wrote. In it I cover what multicollinearity is and when it becomes an issue for modellers. Enjoy 😊 medium.com/data-science...

This is one from the archives. A while back a provided a discussion about the difference between probability and likelihood. Hopefully it’s still a useful piece for someone out there 🙂 medium.com/data-science...

Hi Bluesky community 👋 I’m a data scientist and mathematical modeller with a background in cognitive science, where I used computational models to study how the brain represents information. Now I build data tools and write about making complex ideas clear and useful. Glad to be here!