  Motivated by putting empirical work based on (synthetic) election data on a
more solid mathematical basis, we analyze six distances among elections,
including, e.g., the challenging-to-compute but very precise swap distance and
the distance used to form the so-called map of elections. Among the six, the
latter seems to strike the best balance between its computational complexity
and expressiveness.
