This paper, looking at how important lighting levels are for road safety by calculating the amount of moonlight at the time of every car-pedestrian crash going back decades, is ingenious. 🌕🌖🌗🌘🌑

Really interesting work. The thread below is a great and thought-provoking read 🤩

Screenshot of the linked Quarto website, with input checkboxes to change different conditions for a regression model that predicts economic performance based on US political party, with a reported p-value

I’ve long used FiveThirtyEight’s interactive “Hack Your Way To Scientific Glory” to illustrate the idea of p-hacking when I teach statistics. But ABC/Disney killed the site earlier this month :(

So I made my own with #rstats and Observable and #QuartoPub ! stats.andrewheiss.com/hack-your-way/

This is wild. "By age 85 more than half of the population becomes errors, by age 100 ‘young liar’ errors constitute the entire population"

Trying something new:
A 🧵 on a topic I find many students struggle with: "why do their 📊 look more professional than my 📊?"

It's *lots* of tiny decisions that aren't the defaults in many libraries, so let's break down 1 simple graph by @jburnmurdoch.bsky.social

🔗 www.ft.com/content/73a1...

Not to brag, but I have a strong track record of predicting exactly how many diapers we'll need of a given size before having to size up 😎

(@leoebfolsom.bsky.social, feel free to add me to the list!)