I’ve collected some of my favorite math-y or stats-y articles or posts from the past couple of years. Hope you enjoy!
538 wrote a feature on tornadoes and statistics; it’s also about separating real patterns from pareidolia (perceiving patterns when there really aren’t any). It’s also about the place where I grew up, so it’s a question that was relevant to my life for a long time.
This post talks about how some folks tracked down the cause of weird disruptions in Singapore’s railway system. I thought the authors did a good job showing how they worked with the data, what kinds of visualizations they made, and how they confirmed their suspicions.
Christian Lawson-Perfect wrote about investigations into times tables and a way in which 13 is particularly “bad.” It’s a cool problem and really accessible to high school students, especially if they can program a little.
Quanta had an article about the last edition of Proofs from THE BOOK. It has some interesting thoughts on what makes a beautiful proof and what the role of ugly mathematics is. At one point, Michael Pershan wondered on Twitter about the role of surprise in beautiful proofs, and this addresses that a little. It’s something I want to write about at some point.
“Math’s Beautiful Monsters” mashes together real analysis, chaos, stochastics, and fluids, all things that I love. It tells a mathematical story that I had never thought of as a single story. I wouldn’t have thought about it this way, but it’s pretty compelling.
This Stanford news story talks about a PhD student who studied mathematical diagrams in various copies and translations of Euclid’s Elements. As someone who at various points has been really interested in both visual representations in math and the role of the Elements in math history, I found this cool.
This SIAM News Blog post is a good introduction to the shallow water equations (which are a decent first model for a lot of geophysical applications) and the numerical methods you can use in solving them.
“Normal America” is an interesting look (with some well-described stats) at what “normal America” actually is. I think about this post a lot.