matheusfacure / python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
https://matheusfacure.github.io/python-causality-handbook/landing-page.html
MIT License
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Chapter 1 - possible clarification (at the cost of length) #395

Open dwanev opened 4 weeks ago

dwanev commented 4 weeks ago

There is a (possible) issue on chapter 1, in the following paragraph

Now, let's add and subtract . This is a counterfactual outcome. It tells what would have been the outcome of the treated, had they not received the treatment.

It could be:

Now, let's add and subtract (as this makes no mathematical difference and allows us to rearrange later). This is a counterfactual outcome. It tells what would have been the outcome of the treated, had they not received the treatment.