This is the thirteenth post in the series, in which we work our way through “Causal Inference In Statistics,” a nice Primer co-authored by Judea Pearl himself.
You can find the previous post here and all the we relevant Python code in the companion GitHub Repository:
While I will do my best to introduce the content in a clear and acce…
