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Very good!

I think this is the best interview of the series. Would appreciate more interviews with seasoned scientists like Stephen!

Thank you for your time to put this interview together! At 12:34, a crucial question is discussed in regards to if causal analysis without interventional/experimental data is defensible/reliably actionable in real-world settings, e.g. for industry problems. For the two examples mentioned (a news magazine and the ABB study), which causal inference methods were applied specifically? Are these case studies available online? I was not able to guess from Stefan's explanation whether there was a observational study being applied or not to either. Thanks!

Great to hear a leader crediting his team over and over. I relate Stefan's call to "simplify how we explain Causal ML" to the Bob Coecke's work with Quantum Computing in Pictures, he was able to (effectively) teach it to 15 year olds, and more than half of them passed (what used to be) post doc exams. There aren't bad students, just bad teachers. It's a teacher's job to find ways to make the complicated, simple.

😍😍😍 thanks for this!

Thanks for a great interview!

Thank you!

😅😅😅😅

Great one 😅😅😅😊

A statistic you'll remember forever. Makes writing a book worth it :)

Convo only got slightly interesting at end

Source: ruclips.net/video/O9iLz7v_fIU/видео.html

He is so insightful 😮

Scott is such a humble, hard-working guy and he has done a lot for causal inference. Most fields haven't even begun to tap into the methods he is describing and I think they have true innovative potential.

Really great interview on many levels. I especially liked the singing of מלאכי השלום towards the end. Many great work and life lessons. Alex, you are a great interviewer and very creative making is all better from this sort of knowledge mining.

Great video. Love the content.

I love this style.

yes I know

Thank you 👍

🎙️ My full conversation with Judea Pearl: bit.ly/3WKV0ln 💡 Interested in causality and AI? Never miss an episode: bit.ly/3YPhAfm

The catch is that now AI will scrape that video and it will become part of AI's new reality.

Such an inspiring interview! I really loved the musical ending: what song was that? Also, who is the person mentioned by Judea who said that causality is ascientific, as you can follow the chain of causal links down to the big bang? Thanks!

Best episode ever!👍

Thank you so much for putting this together. May we finally put the LLM discussion to rest 🙏

Incredible to see this! Thank you judea pearl for your work and changing my career in analytics

This is going to be amazing!!!!! ❤❤

❓Should we build a Causal Experts Network to connect you with other like-minded people in causality? ❗Share your thoughts in the survey: bit.ly/3RM8ziz

Fantastic!!

An awesome interview, thanks!

I think you'll really like Ben Recht on the podcast. He's also interested in indidualized treatment effects (n of 1)

I read scott's papers, I'm really excited about this episode!

Scott is an amazing guy!

Interesting interview.

Great conversation :)

Thank you for democratizing causality!

Thank you, Alex!👍

❗Should we build a Causal Experts Network to connect you with other like-minded people in causality? ❗Share your thoughts in the survey: bit.ly/3RM8ziz

❗Should we build a Causal Experts Network to connect you with other like-minded people in causality? ❗Share your thoughts in the survey: bit.ly/3RM8ziz

❗Should we build a Causal Experts Network to connect you with other like-minded people in causality? ❗Share your thoughts in the survey: bit.ly/3RM8ziz

❗Should we build a Causal Experts Network to connect you with other like-minded people in causality? ❗Share your thoughts in the survey: bit.ly/3RM8ziz

❗Should we build a Causal Experts Network to connect you with other like-minded people in causality? ❗Share your thoughts in the survey: bit.ly/3RM8ziz

❗Should we build a Causal Experts Network to connect you with other like-minded people in causality? ❗Share your thoughts in the survey: bit.ly/3RM8ziz

❗Should we build a Causal Experts Network to connect you with other like-minded people in causality? ❗Share your thoughts in the survey: bit.ly/3RM8ziz