I was worried about messing someone's bookmark in our shared audible for this book. I asked my sister, but mistyped. Her response? "I who have never listened to I who have never known men on an edible have never listened to I who have never known men on audible. Does that answer your question?"

At least my mnemonic for remembering the Great Lakes still works: Lisa Likes Licking Lettuce Lightly. The poor HOMES people have to switch to SHAME.

@enbrown.bsky.social I'm heading back to my family after a couple weeks away, and apparently it's not a moment too soon. I discovered today that they made an effigy of me for the dog...if you ask me, she mostly seems confused, and that seems like the right response.

Graspable Math's game, From Here 2 There, got listed as 'Strong' in Evidence for ESSA! I remember drafting the first ideas for FH2T on our lab whiteboard back at the University of Richmond, with a team of truly amazing collaborators. www.evidenceforessa.org/program/gras... #MathEd #MathEdResearch

Obvious thought of the day: I'm working with our designer on a new set of classroom tools, and it's such a delight coding things in 2026: the new tools make it possible to rough things out so quickly and smoothly!

So I really like industrial noise music, but I may have carried it too far. Yesterday I turned *OFF* the music I was listening to, because there was some electrical problem in the metro station, and it seemed like a really good song to me. I tried to record it, but the levels were weird.

After a very long hiatus doing other projects, over the last two months I've been building new things in Graspable Math, and am having a lot of fun! I've been building what I'm calling 'Algebra manipulatives': little sandbox worlds that balance exploration and openness with constraints. More soon!

This. So many people get upset about this, but getting mad at chatGPT for "lying" to you is quite •literally• like getting mad at a magic 8 ball for giving an answer to your question that looked plausible but turned out to be wrong.

Katie Mack@astrokatie.com · last yr.

Chatbots — LLMs — do not know facts and are not designed to be able to accurately answer factual questions. They are designed to find and mimic patterns of words, probabilistically. When they’re “right” it’s because correct things are often written down, so those patterns are frequent. That’s all.

Cool paper about why we overestimate the size of minority groups! From @brianguay.bsky.social, @tylermarghetis.bsky.social, Cara Wong, and @david-landy.bsky.social www.pnas.org/doi/10.1073/...

Quirks of cognition explain why we dramatically overestimate the size of minority groups | PNAS

Americans dramatically overestimate the size of African American, Latino, Muslim, Asian, Jewish, immigrant, and LGBTQ populations, leading to conce...

pnas.org

I wrote an article on some of my dissertation research on the problem-solving power of prayer for @aeon.co and today it is published! aeon.co/essays/why-p... I'm proud of the article and it was fun to write for a non-academic outlet! 🤩

Why prayer is a problem-solving practice that works | Aeon Essays

Praying is a cognitive practice full of problem-solving resources. You can learn from it even if you don’t want to do it

aeon.co

I know I'm a little late to the splash this YouGov made on BlueSky, but I want to talk about it! The incoming 🔥hot take🔥 is: these errors are not a big deal!!!

Matthew Facciani@matthewfacciani.bsky.social · 2y ago

Americans vastly overestimate the size of different minority groups! For example, Americans estimated 21% of the country is transgender, but the true proportion is just 1%.

Trust me, I know that many of the students don’t do the reading and are finding other ways to skate by, but there are still so many that are so brilliant and so thoughtful, and so eager to learn, and it doesn’t seem that much different from when I was an undergrad TBH