A framework proposing that we are not only fooled by
randomness (seeing patterns where none exist) but also by the illusion that randomness explains
everything—that we systematically attribute to chance what is actually structured, caused, or designed. Illusion by Randomness Theory reveals the opposite bias: seeing randomness where there is pattern, dismissing genuine signals as noise, attributing to luck what is actually skill, structure, or causality. It's the bias of the hyper-skeptic, the debunker, the person who explains away every anomaly as
coincidence. While Taleb warned against seeing patterns in noise, Illusion by Randomness warns against seeing noise in patterns—a complementary blindness that is equally dangerous.
Illusion by
Randomness Theory "He won the lottery twice. 'Just
randomness,' they said. But the lottery wasn't random—it was rigged. Illusion by Randomness: seeing chance where there's corruption, dismissing pattern as noise. The bias protects us from seeing structure we'd rather not acknowledge. Not
everything random is random; sometimes the pattern is real, and we just don't want to see it."