Random recent posts
A random selection of recent posts from around the mathematical blogosphere.
- [Undefined]Thales’ circles
- The MantleAzimuth
- Mathematical DiscourseWhat's new
- On This Day in Math - August 22Pat'sBlog
- Quantitative bounds for sets lacking polynomial progressions with shifted prime differenceWhat's new
- Baby cuttlefish attempting to camouflage for the very first timeThales’ circles
- On This Day in Math - August 21Pat'sBlog
- Better than goldShtetl-Optimized
- Information = Comprehension × Extension • Comment 7Inquiry Into Inquiry
- One night in Uzbekistan: Why was this one data point so influential, and what should these researchers had done ahead of time to see this?Statistical Modeling, Causal Inference, and Social Science
- Take it to the limit one more time – a history of calculus IIIThe Renaissance Mathematicus
- Start With Formative AssessmentThe Reflective Educator
- GCSE Exam Results 2026Mathematics, Learning and Technology
- Oat milk was discovered much more recently than you may have known. Like many now-familiar…Thales’ circles
- Sure it's a rerun, but it's got a Frazetta cover.West Coast Stat Views (on Observational Epidemiology and more)
- Answering some questions about statistics from a high school studentStatistical Modeling, Causal Inference, and Social Science
- Geometry Problems of the Day (Geometry Regents, June 2026 Parts III & IV)(x, why?)
- LLMs are not nothing.West Coast Stat Views (on Observational Epidemiology and more)
- When we went to Mexico City (Part 3 – Teotihuacan)JD2718
- What sort of maths are LLMs good at?Gowers's Weblog
- New Simons Collaboration Explores Defects in PhysicsSimons Foundation
- I recommend this book on Applied Regression and Causal InferenceStatistical Modeling, Causal Inference, and Social Science
- That Student Skip-Counting 7×8 Isn’t Behind. They’re Telling You What to Teach Next.Dr. Nicki's Guided Math Blog
- Repaired!Quomodocumque
- How much of all the money in the world does Elon Musk have?More or Less
- How to avoid the “clean data, clean model” trap when teaching statistics and data scienceStatistical Modeling, Causal Inference, and Social Science
- A partial digestion of the HRT counterexampleWhat's new
- Snapshots from ICM2026Combinatorics and more
- The blessing of dimensionalityStatistical Modeling, Causal Inference, and Social Science
- Why would some of the most profitable companies in the world feel the need to load up on debt? Why would some of the most creditworthy companies in the world borrow money at a higher interest rate?West Coast Stat Views (on Observational Epidemiology and more)
- Open Review: La Société au prix du risqueFreakonometrics