Causal AI Blog

The fundamental problem of causal inference is actually not always a problem. This is the case in simulations and computer programs. As models of the world get better, it becomes less and less of a problem in general. [Read More]

The concept of the bias-variance tradeoff is not universal. In this post, we cover a modern, evidence-based perspective on the bias-variance tradeoff. [Read More]

A flowchart to help you choose the best causal inference book to read. Also, a few short causal inference book reviews and pointers to other good books. [Read More]