I spent way more of my research time today than I should have working on the page layout of the paper I am currently writing with Price-Whelan and Leistedt. My goal is to make a document that works well either printed on paper, or read on a computer screen, or read on a phone. And a document that includes footnotes and figures, which the user can see without endless scrolling up and down the document. One reason I am so against typesetting two-column (as many astronomy papers do) is that it is very challenging to read on a phone, at least current-generation phones.
I also spent some time today reading in the Agresti book on linear models. Although this book is a bible for linear models and generalized linear models, it states at the very outset (yes, in Chapter 1) that every single method in every chapter of the entire book will presume that there is no noise in the features, only noise in the labels. (Think: You are predicting noisy labels y given features x.) That assumption—no noise in x—is fine, but it is violated in every important example I know in every single application of any kind of linear model (or nonlinear model of course) in every area, academic and commercial.
Other than that, it's a good assumption.
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