In social choice theory, Bayesian regret is the average difference in social utility between the chosen candidate and the best candidate. It is only measurable if it is possible to know the voters' true numerical utility for each candidate – that is, in Monte Carlo simulations of virtual elections. The term Bayesian is somewhat a misnomer, really meaning only "average probabilistic"; there is no standard or objective way to create distributions of voters and candidates.[citation needed]