Naftali Weinberger
@DAGophile
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Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems. @LMU_MCMP
Munich, Bavaria
Joined October 2017
Selected papers.Timescale: DCMs: Discrimination: Mediation: Faithfulness: Causation and Time: Psychometrics:
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This clip is the part of the last episode that has so far generated the most discussion.
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I decided to make an intro episode, to provide some orientation for the later episodes. In it, I introduce DAGs and explain how causation is a strategy for managing complexity. I spent a lot of time improving the sound quality, so I hope that paid off.
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How can a drug raise the chance of recovery in a population, while lowering the chance in both men and women?. The answer is Simpson's paradox, which still confuses people. Here I clarify it, w/ examples from COVID-19, and testing police discrimination.
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Coming next week on Causal Foundations: Simpson's Paradox! . Subscribe to my YouTube channel in order to not miss episodes when they're released.
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Episode 3 is now up. In it, I discuss what the most underrated concept in causal inference: identifiability. It's what enables one to measure causal effects from data. I'm still figuring out the AV side of things. Feedback welcome!.
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Episode 2 of Causal Foundations is now online. Thanks to everyone for the very encouraging reactions to the opening video of the series.
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While trying to figure out how searchable my channel is on YouTube, I've stumbled across videos of talks I didn't know were there. Here's a talk I gave at Yale, recorded by a professional film crew and well summarized in the description.
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Episode 2 of Causal Foundations will be released on Monday. Subscribe to my channel be notified when it is posted.
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I decided to make a youtube channel in which I introduce key concepts from causal inference in videos of roughly 10 minutes. The first episode "Correlation Does Imply Causation" is now online. Feedback would be very welcome.
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RT @thePiggsBoson: 70% of physics is breaking down the system into a simple harmonic oscillation.
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Very cool! There's definitely a strong connection between my paper and RL, and in the paper I only allude to it. Would be thrilled to discuss it further.
@DAGophile This looks cool, I will take a look!.I have been working a bit on Homeostatic RL, inspired on I'll hit you up after reading it!.
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This might be recency bias, but I think this is the best paper I've written. It showcases how causal models can unite engineering, dynamic systems theory and biology, while pointing to the work to be done in learning and applying causal concepts.
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Ok. So the 24-30 month olds got it. Now let's work on the statisticians.
Causal relational problem solving in toddlers
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RT @CEPDISCresearch: Thanks for two and a half exciting days at CEPDISC’24 last week exploring discrimination in general and discrimination….
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I'll be curious to read this paper referenced today by @DouthatNYT & welcome comments from experts on the topic. To me it seems like a single paper (draft?) doesn't justify the "almost certainly" claim, though I guess nothing in this domain is settled.
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RT @raziehnabi: I'm very proud of @AnnaGuo617 and excited to share our new manuscript on flexible #causal effect estimation in a broad clas….
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RT @itaisher: Again really amazing to me that people say “everything is political” to try to obscure the fact that you can be more or less….
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RT @CristianLarPh: I’m happy to share that my paper “Is Quantitative Measurement in the Human Sciences Doomed? On the Quantity Objection” h….
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