  The purpose of this short note is to show that the Christoffel-Darboux
polynomial, useful in approximation theory and data science, arises naturally
when deriving the dual to the problem of semi-algebraic D-optimal experimental
design in statistics. It uses only elementary notions of convex analysis.
Geometric interpretations and algorithmic consequences are mentioned.
