Paradoxes from statistics and decision sciences form amusing, yet intr
iguing mathematical puzzles. On deeper examination, they constitute se
rious problems that could cause us, unintentionally, to adopt inferior
alternatives. It is indicated here how ideas from ''dynamical chaos''
and orbits of symmetry groups can be modified and combined to create
a mathematical theory to understand, classify, and find new properties
of these puzzling phenomena.