I've been getting used to gganimate and thought it would be useful to put together some illustrations of what various causal inference methods *actually do to data* and how they work. Here, for example, is what it means to control for a (binary) variable
“Young academics who had three papers published in what are universally regarded as the top five journals were nearly five times as likely to gain tenure in a given year as those with papers in less prestigious journals.