Random recent posts
A random selection of recent posts from around the mathematical blogosphere.
- Science paper by Toronto lab retractedRetraction Watch
- Watch: Jim Simons’ Life, Legacy and 5 Guiding PrinciplesSimons Foundation
- Volume discovery lesson using kinetic sand - cylinders, cones, prisms and pyramidsScaffolded Math and Science
- Interpreter and Interpretant • Selection 4Inquiry Into Inquiry
- Housing YIMBYs/fire NIMBYs and the Not-Enough-Fire ParadoxWest Coast Stat Views (on Observational Epidemiology and more)
- The Very Mathematical U. S. Star FlagPat'sBlog
- "Πίτα'' ημέραςΜαθη...μαγικά
- Interpreter and Interpretant • Selection 3Inquiry Into Inquiry
- An unquiet nightWest Coast Stat Views (on Observational Epidemiology and more)
- From τὰ φυσικά (ta physika) to physics – XXXVIThe Renaissance Mathematicus
- Double Maths First Thing, Issue 12The Aperiodical
- Leisurely Cruise January 2025: Excursion 4 Tour I: The Myth of “The Myth of Objectivity” (Mayo 2018, CUP)Error Statistics Philosophy
- Rugby Premiership Predictions for Round 11Stats Chat
- Biotech company agrees to pay $4 million to settle data falsification allegationsRetraction Watch
- Treasure trove of forensic details in arXiv’s LaTeX source codeStatistical Modeling, Causal Inference, and Social Science
- Cartoons by Grant SniderImpossible world site blog
- Mixing it upplus.maths.org
- Progress in 2024 (Aki)Statistical Modeling, Causal Inference, and Social Science
- 1/6/25Pure Numbers Daily Blog
- Six years ago at the blog -- reposted just because it's coolWest Coast Stat Views (on Observational Epidemiology and more)
- Ich brauche eine Pause…Schule, Schulleitung, Familie, DIY
- Epiphanies from Tape MeasuresMath ∩ Programming
- What are my goals? What are their goals? (How to prepare for that meeting.)Statistical Modeling, Causal Inference, and Social Science
- My Drunken TheoremComputational Complexity
- Lecturing feePeter Cameron's Blog
- Newly published in 2024Statistical Modeling, Causal Inference, and Social Science
- On the 1st of UndecemberThe Renaissance Mathematicus
- Calibration “resolves” epistemic uncertainty by giving predictions that are indistinguishable from the true probabilities. Why is this still unsatisfying?Statistical Modeling, Causal Inference, and Social Science
- In case you want to binge read the (Strong) Likelihood Principle in 2025Error Statistics Philosophy
- A Puzzle about a CalculatorBlackboard Bold – The Aperiodical
- A Puzzle about a CalculatorThe Aperiodical