Brian Weinstein
@brian-weinstein.bsky.social
Froyo enthusiast, Quant UX Researcher @Google
Reposted by Brian Weinstein
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 🤩
Really interesting work. The thread below is a great and thought-provoking read 🤩
My paper, Road Illumination and Nighttime Pedestrian Deaths: Evidence from Moonlight, is now published at Economics of Transportation. authors.elsevier.com/a/1kptw_oIvi...
March 27, 2025 at 1:19 PM
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 🤩
Really interesting work. The thread below is a great and thought-provoking read 🤩
Reposted by Brian Weinstein
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/
So I made my own with #rstats and Observable and #QuartoPub ! stats.andrewheiss.com/hack-your-way/
March 20, 2025 at 6:30 PM
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/
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"
This may be my favourite preprint (or even paper) of the year.
Dr. Saul Newman's latest work looks at the global data on very old people, and shows that it's probably garbage.
The paper basically shows that the global information on people aged 85+ is likely all errors. Remarkable. 1/n
Dr. Saul Newman's latest work looks at the global data on very old people, and shows that it's probably garbage.
The paper basically shows that the global information on people aged 85+ is likely all errors. Remarkable. 1/n
December 5, 2024 at 2:34 AM
This is wild. "By age 85 more than half of the population becomes errors, by age 100 ‘young liar’ errors constitute the entire population"
Reposted by Brian Weinstein
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...
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...
November 20, 2024 at 5:09 PM
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...
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...