# Andrew Gelman
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andrew gelman (born February 11, 1965) is an American statistician, professor of statistics and political science, and director of the Applied Statistics Center at Columbia University. He earned an S.B. in mathematics and in physics from MIT in 1986 and a Ph.D. in statistics from Harvard University in 1990 under the supervision of Donald Rubin.He has received the Outstanding Statistical Application award from the American Statistical Association three times. He is an elected fellow of the American Statistical Association and the Institute of Mathematical Statistics.
E50 - Getting better at Teaching with Tal Gross
In this episode, we talk with Tal Gross about new teaching techniques. Tal is a Professor in the Department of Markets, Public Policy & Law at Boston University. He is also a Faculty Research Fellow at the National Bureau of Economic Research. His research focuses on health insurance and household …
Question: I believe psychology filtered through the Bible is a powerful tool. What do you say?
Question: I am a registered psychotherapist and I reject Freudian and Jungian beliefs. However, I did find that when you remove these demonic influences and stick with the "science" behind psychology and filter it through the Bible that it's a powerful tool. Proverbs in particular along with New Te…
Replication, preregistration, and open science – what’s all the fuss about?
The so-called “replication crisis” engulfed psychology over the last 10 years, with numerous failures to reproduce canonical studies from the biggest names in the discipline like Dweck’s growth mindset, Baumeister’s willpower as a muscle, and around half of Kahneman’s Thinking Fast and Slow. Interr…
Season 2, Episode 3: Replication Crisis - Feeling the Future and Scholars Being Messy on Main
Join us to learn about the experiment credited with launching the replication crisis in social psychology.
Welcome to Librarians Spill the Tea, where we explore the context around scholarly drama and librarianship. For each episode, you’ll find an Episode Description, Timestamps, full Transcript (o…
Should science stop worshiping statistical significance? (with Andrew Gelman)
Read the full transcript here.
If you enjoy our podcast, we have some exciting news – we’ve just launched a new membership called Clearer Thinking Plus.
Members get this podcast completely ad-free, as well as two professional coaching sessions every month, access to our advanced cognitive as…
The Scientific Ritual
Science feels like the most reliable thing we have. The opposite of
belief. But it’s a belief system itself—a ritual, with all the failure
modes that rituals have. And the receipts are right there in the
replication crisis.
Further reading
The
Scientific Ritual — the article this lecture is bas…
Episode 102: Why We Sleep
In 2017, Matthew Walker’s Why We Sleep became a huge bestseller. It said, among other things, that we are living through an epidemic of sleeplessness, that the less we sleep the sooner we die, and that sleeping less than six hours a night doubles your risk of cancer.
But are its claims as robust as…
#164 Bayesian Workflow, with Andrew Gelman, Aki Vehtari & Richard McElreath
Support & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work
Takeaways:Q: What is the "Bayesian Workflow" book about, and who is it for?
A: It covers w…
Why a Bayesian Workflow Goes Beyond Fitting Models
Today's clip is from Episode 164, featuring Andrew Gelman, Aki Vehtari & Richard McElreath. In this conversation, Andrew explains why a Bayesian workflow goes far beyond simply fitting a model. He discusses the importance of building, fitting, and checking models, and why moving between simpler and…
Bayesian Principal Stratification: Modeling Treatment Effects
Today's clip is from Episode 164, featuring Andrew Gelman, Aki Vehtari & Richard McElreath. In this conversation, Andrew explains how Bayesian principal stratification can be used to reason about treatment effects when there is an intermediate treatment or outcome that is only partially observed.
…
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