  Contributing to the toolbox for interpreting election results, we evaluate
the robustness of election winners to random noise. We compare the robustness
of different voting rules and evaluate the robustness of real-world election
winners from the Formula 1 World Championship and some variant of political
elections. We find many instances of elections that have very non-robust
winners and numerous delicate robustness patterns that cannot be identified
using classical and simpler approaches.
