  Breiman organizes "Statistical modeling: The two cultures" around a simple
visual. Data, to the far right, are compelled into a "black box" with an arrow
and then catapulted left by a second arrow, having been transformed into an
output. Breiman then posits two interpretations of this visual as encapsulating
a distinction between two cultures in statistics. The divide, he argues is
about what happens in the "black box." In this comment, I argue for a broader
perspective on statistics and, in doing so, elevate questions from "before" and
"after" the box as fruitful areas for statistical innovation and practice.
