Imagine we test 70 characteristics of cars that in reality are not predictive of lemons. But each test suffers a, say, 1 percent risk the data will falsely show a predictive effect just by random chance. The accumulated risk piles up. As with the jackpot wheel, there's a 50/50 chance the unlikely event will eventually take place—that you will stumble upon a random perturbation that, considered in isolation, is compelling enough to mislead.
