Situates causal inferences in a broader, almost context that is enormously help understanding what causal graphs are trying to accomplish and how the complement existing approaches. Contextualizing methodology in such a way should be done far more often. Super helpful. Thanks.
Situates causal inferences in a broader, almost context that is enormously help understanding what causal graphs are trying to accomplish and how the complement existing approaches. Contextualizing methodology in such a way should be done far more often. Super helpful. Thanks.
This presentation feels so cathartic! Genius stuff, thank you!
Excellent talk. Thank you.
Thanks Peter for the wonderful presentation!
Super helpful for my dissertation! Thanks!
Great presentation Peter! Thank you 👏👏👏
This is just brilliant! Thank you.
Excellent presentation !
Very clear presentation, thanks for sharing!
this is the best causal explanation ever, thank you
great lecture, well delivered and engaging
Brilliantly presented 👏🏻
Brilliant!
Helpful. Many thanks!!
Great talk! Are the slides available anywhere? Thnx
Great lecture tx
Your example at 41:50 is completely unnecessary. This odd, bigoted language needs to be taken out of professional settings
Oprah like Claudine Gay has more privilege than most people. How many can complain about luxury handbag event in France? Or even afford it?
Brilliant presentation!