Tilman Fries
@tilmanfries.bsky.social
Economist | Assistant professor at LMU Munich | I work on beliefs, communication, etc.
https://tilmanfries.github.io/
https://tilmanfries.github.io/
Europe is the only region that is slightly up from last year on EJM econjobmarket.org/marketState
EJM - Econ Job Market
econjobmarket.org
October 15, 2025 at 4:18 PM
Europe is the only region that is slightly up from last year on EJM econjobmarket.org/marketState
Here's a link to @economeager.bsky.social blog, which you obvs should also read: rottenandgood.substack.com/p/taking-our...
Taking Our Chances
This one's for the academy, I guess
rottenandgood.substack.com
February 9, 2025 at 8:17 PM
Here's a link to @economeager.bsky.social blog, which you obvs should also read: rottenandgood.substack.com/p/taking-our...
This should make us a bit humble when studying how people update in settings where "easy" closed-form solutions exist.
More than history, the book has deep philosophical debates about the the tools that researchers use everyday.
More than history, the book has deep philosophical debates about the the tools that researchers use everyday.
February 9, 2025 at 8:17 PM
This should make us a bit humble when studying how people update in settings where "easy" closed-form solutions exist.
More than history, the book has deep philosophical debates about the the tools that researchers use everyday.
More than history, the book has deep philosophical debates about the the tools that researchers use everyday.
One more curious lesson was that, in Bayes' original article on his theorem, he discusses how to infer P(heads) from tossing a coin n times. Today, we know that the unif. prior solution is (m+1)/(n+1), where m= # heads. But Bayes didn't. He couldn't solve the integral! Laplace did this later.
February 9, 2025 at 8:17 PM
One more curious lesson was that, in Bayes' original article on his theorem, he discusses how to infer P(heads) from tossing a coin n times. Today, we know that the unif. prior solution is (m+1)/(n+1), where m= # heads. But Bayes didn't. He couldn't solve the integral! Laplace did this later.