“So Simple A Beginning,” A Popular Science Book about Biophysics

There’s almost nothing new in this post, but I’ve realized that descriptions of my upcoming (early 2022) general-audience book on biophysics are scattered across multiple places, in some cases with outdated information like old versions of the title. Since it’s useful to have one definitive post to point to, here it is. So Simple a … Continue reading “So Simple A Beginning,” A Popular Science Book about Biophysics

Course Recap: Physics of Energy and the Environment, Winter 2021

In the quarter that recently ended I taught The Physics of Energy and the Environment, a course for non-science-major undergraduates at the University of Oregon (UO) that I’ve taught before, though never before as an online, Zoom-based course. (For those reading this in the far-off future: It’s April 2021, and we’re a bit over a … Continue reading Course Recap: Physics of Energy and the Environment, Winter 2021

Tossing Starfish from the Tidepools — Gut Microbiome Edition

About a paper from my lab [1] on competition and cooperation among gut microbes. Is the whole more than the sum of its parts? This question arises throughout the sciences, as one wonders whether understanding the constituents of some system suffices to understand the system as a whole. Sometimes the answer is “yes.” Electromagnetic fields, … Continue reading Tossing Starfish from the Tidepools — Gut Microbiome Edition

The Year in Books, 2020

It’s again time for The Year in Books! (Previous posts: 2019, 2018, 2017, 2016, and 2015.) 2020 was challenging in many ways. One consequence of the Covid-19 pandemic was the difficulty of getting books, very minor of course compared to many misfortunes both personal and global, but annoying nonetheless. The Eugene Public Library has been … Continue reading The Year in Books, 2020

Comments on over-interpreting results, correlation and causation, and concluding remarks — “Ten common statistical mistakes…” #9-10

This week: the last of my commentaries on Makin and Orban de Xivry’s Common Statistical Mistakes! (Previous posts: #1-2, #3 , #4, #5, #6, #7, #8.) I’m lumping together comments on “Mistake #9” (Over-interpreting non-significant results) and “Mistake #10” (Correlation and causation), as well as concluding remarks, writing one long post instead of two or … Continue reading Comments on over-interpreting results, correlation and causation, and concluding remarks — “Ten common statistical mistakes…” #9-10