11.4 - Number of Interventions to Identify Causal Graphs

In this part of the Introduction to Causal Inference course, we cover the number of interventions sufficient and necessary in the worst case to identify causal graphs. Please post questions in the TH-cam comments section.
Introduction to Causal Inference Course Website: causalcourse.com
Course Lectures Playlist: • 11.4 - Number of Inter...

[@rukman-sai]

Question: Hi, I don't know if this question is too late but here it goes.
On slide 9, how does having the additional observational data increase the number of interventions from (N-1) to N instead of decreasing it. I understand that one of those 'N' interventions is the observational data. So is this observational data useless if we still need (N-1) more single interventions. I mean more data should decrease the number of additional single node interventions necessary right?

[@jasminbogatinovski8391]

There might be a mistake on slide 9. It may be (Eberhardt et al. 2016), not 2006. I assume you refer to this paper: link.springer.com/article/10.1007/s41060-016-0038-6. If not, please apologize.

[@BradyNealCausalInference]

Thanks for the comment :)
Here's the paper I'm referring to: www.ml.cmu.edu/research/dap-papers/eberhardt_kdd_project1.pdf
If you download the slides in the schedule at causalcourse.com, you should be able to click the links to the papers in those slides.