A paper for people who like Jensen's inequality, R nerdiness, epidemiology and basic income

This means that when we model the effects of policies (.e.g labour market, welfare institutions) on health, we have to take into account their effect on income volatility as well as on people's average incomes

www.danielnettle.eu/2025/07/01/c...

Does anyone have any suggestions?

Also, I hope it will be a fun read and students will learn something about the field. So all in all a hard title to identify.

I also cover loads of stuff about theories, hypotheses, pre-registration, experimental design, open science, etc., so it is not just how to do a t-test etc. That's actually quite a small part.

Instead I stress how data analysis is a critical link in the process of turning your question into an answer; you need to be thinking about it already at the stage of study design

There are many considerations. I don't want it to seem too narrow or dry. I want to get away from the idea that data analysis is one step in the process, the boring one after the experiment is done, with no function other than getting the p-value

I am thinking of something like:
From Questions to Knowledge: Data Analysis for Psychology and Behavioral Science using R

+ geom_cake()

Beyond this, their preferences over institution design (means testing, eligibility and so forth) were pretty weak.

And of course they prefer lower taxes