Life or Death
In a recent post , I wrote about the choices we make in statistical analysis along a continuum of simple ⇒ complex methods. Methods, of course, can be simple or complex along a number of different dimensions, and methods that seem simple may actually be quite complex and vice versa. However, a recurring theme in a lot of empirical work is the desire to represent complex phenomena with a single number. We do this with estimands, such as we when we represent heterogeneous causal effects with a single average treatment effect on the treated (ATT), for example. But, we also do this quite frequently with data. We measure complex things such as "inequality" with a single number such as the Gini coefficient, or "democracy" using a polity index , or corruption using Transparency International's Corruption Perceptions Index , or "development" using the Human Development Index . When we attempt to boil complex things down to a single number, this creates a num...