Over a year ago, I was invited to write a “resource letter” on Biological Physics for the American Journal of Physics, a very good education-focused journal. The goal of its resource letters is to provide a collection of books, articles, and other resources that would be a useful introduction for people new to the field. … Continue reading Welcome to Biophysics! — A “Resource Letter”
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, Spring 2021
Last week, I gave the final exam for my Physics of Energy and the Environment class, a course for non-science-major undergraduates. Nearly all of the questions were answered correctly by a majority of students, and the individual question outcomes correlated well with overall exam performance. Surprisingly, however, there was one question that the vast majority … Continue reading A Puzzle about Paris and Climate
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
I’ve hit “send” on the final manuscript files for my popular science book on biophysics. The last round of revisions and edits took all the time I could spare over the past three months, and lots of time that I couldn’t! I should write a new, up to date summary of the book, but this … Continue reading Pop-Science Biophysics, now with a title!
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
A while ago I announced that I’ve been working on a popular science book about biophysics, and a few months ago I noted that the first draft is done. Since people have asked about the present state of the book, I thought I’d make a quick post about it. Princeton University Press sent the manuscript … Continue reading Book Update: Untitled Biophysics
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
This week’s installment of comments on Makin and Orban de Xivry’s Common Statistical Mistakes deals with #8: Failure to Correct for Multiple Comparisons. (Previous posts: #1-2, #3 , #4, #5, #6, #7.) Makin and Orban de Xivry’s description is rather complex, but the error is a simple one. To illustrate: suppose we have a control … Continue reading Comments on “Failure to Correct for Multiple Comparisons” — “Ten common statistical mistakes…” #8
This week’s commentary on Makin and Orban de Xivry’s Common Statistical Mistakes covers #7: Flexibility of Analysis: p-Hacking. (Previous posts: #1-2, #3 , #4, #5, #6.) I feel like this has been discussed ad nauseum,* yet the problem still exists. The issue is that flexibility in how one analyzes data, even seemingly innocuous flexibility, can … Continue reading Comments on “p-Hacking (Flexibility of Analysis)” — “Ten common statistical mistakes…” #7
