Big congratulations to Aryan Gandhi ‘33 who won the Boys U11 Texas Squash JCT today in Houston! We are #SCHproud of you, Aryan! #GoDevils @DWilsonSCH @sdruggan @USSQUASH @PhSportsDigest

I am super hyped to finally share the first release of plumber2 with all of you. This has been the center of my attention for a big part of 2025 and I hope you'll find it a worthy update to the venerable plumber package. #rstats tidyverse.org/blog/2025/09/p…

GNRProdEst.jl Update! Main new feature: Bootstrapped Standard Errors! I just released the latest update of my @JuliaLanguage implementation of the production function estimation method from @AmitEcon, @snavarrol, Rivers (2020). Check it out here github.com/MarkusTrunschke/G…

One person I feel who is insufficiently appreciated is Hadley Wickham. The results of his work are everywhere, every journal and conference I know. He changed the history of science.

GNR took 12 years to complete from idea to publication. During that time Stata remained the required language to communicate with the profession. Amazing to see how far the field has come with open source and modern software standards. Thanks @MTrunschketo - can't wait to use!

Couldn't agree more @LeistenEcon :) In all seriousness - zero shares are rampant inside of business environments and the corrections have first order effects on the insights derived. Fine tuning the priors in an Empirical Bayes kind of way sounds fascinating - thx for sharing.

"Perfection is impossible. In the 1,526 singles matches I played in my career, I won almost 80% of those matches. But what percentage of points did I win? 54% In other words, even top ranked tennis players win barely more than half the points they play. When you lose ever second point on average, you learn not to dwell on every shot. You teach yourself to think: 'Okay, I double faulted...it's only a point.' 'Okay, I came to the net and I got passed again...it's only a point.' Even a great shot, an overhead backhand smash that ends up on ESPN's top 10 playlist – that too is just a point. Here's why I'm telling you this. When you're playing a point, it has to be the most important thing in the world. And it is. But when it's behind you, it's behind you. This mindset is crucial – because it frees you to fully commit to the next point with intensity, clarity, and focus." –@rogerfederer

The world's first 60 FPS e-ink display by @daylightco on Episode 45 of S³ See how it works, the 6-year development journey, and Daylight's vision for the future of personal computing.

Excited to discuss the state of data and tech with my former colleague Francesco Decarolis - thanks to the organizers for the invitation.

One of my favorite tools for visualization of big data is tippecanoe, which converts millions of spatial features (like building footprints) into scale-sensitive vector tiles github.com/felt/tippecanoe You can use tippecanoe in #rstats via its wrapper in the mapboxapi package: walker-data.com/mapboxapi/ar…

Thrilled to see the innovation unfold at the #Wharton Hack-AI-thon! Best of luck to all participants! #AI #Innovation #AnalyticsAtWharton

We're thrilled to welcome @AmitEcon and Cornelia Walther to our team as Visiting Scholars! Their expertise in corporate partnerships and leveraging technology for pro-social change will help take our analytics mission to greater heights. Learn more here: analytics.wharton.upenn.edu/…

Excited to share our work w/ @hamsabastani and @obastani as my debut post at X!

@ChristophMolnar's "Modeling Mindsets" is such a great read!

Teams of high school students from across the globe are crunching numbers and competing in the @Wharton High School Data Science Competition with @WhartonSABI and @whartonyouth. Meet some of the teams competing to make the best data predictions about our fictional soccer league!

"Causal questions are in 1st order in tech firms." "Lots of good executives have a causal theory of reality in their heads. What they often want to see is... dashboards, metrics... these highly correlated data where the causal filtering is happening in a board room, in a meeting, in a discussion. The interesting challenge for this [Causal AI] community is now that we have these [Causal AI] tools [and] you don't have to do it intuitively, how do you reconcile this with the traditional mindset?" Great discussion with @AmitEcon and @pedrohcgs at the Causal AI conference 2023! youtu.be/D0AREV5mk6w?si=DZjI… Our human-guided causal discovery framework and causal model architectures help enterprises discover cause-effect relationships and quickly develop state-of-the-art causal models. Our decisionOps framework helps businesses measure the effect of their decisions on business KPIs. Thank you both for being with us! 🙏

"Don't care" might be a little strong - but the need to more deeply understand the ATE and the "why" behind its movement is paramount. That leads naturally to questions of heterogeneity and more fundamentally the structural mechanism (great opportunities generally for economics).

This paper by top AI researcher @sleepinyourhat on what is surprising about the new AI Large Language Models is an absolute must-read. A lot of what is happening was not on anyone's radar. What will happen next is hard to predict. cims.nyu.edu/~sbowman/eightt… H/t @emollick

As ChatGPT and other LLMs become better and better at *answering questions,* the important complementary human skill becomes: Asking questions. As I tell my students... Asking really good questions is an art form that is becoming even more important in the Age of AI.

Hotter take: ML would have advanced faster if another front-end language had been available and widely adopted instead of Python. One that is interactive yet fast & compilable, multithreaded (no GIL), isn't bloated, doesn't care about white spaces,... E.g. Julia or some Lisp.