My reviews of books on the topic of causal inference.

Data Science, Machine Learning, and now AI are the go-to tools for data driven decision making - and yet they offer surprisingly little to the core questions we ask. How did that happen? And will it ever change?

Being the resident causal inference botherer in any workplace is a lot like being a vocal vegan - there is a risk of alienating the people around you if you’re too dogmatic. This post explores that tension in the workplace.

All the elegant theory in the world counts for nothing if it isn’t put to use in some way. In this post I explore the landscape of industries and practitioners knee-deep in the trenches of structural causal modelling.