The Gambler's Fallacy & Recency Bias

## The Gambler's Fallacy The gambler's fallacy is the belief that past random events influence future ones. A coin lands heads five times in a row — many people feel tails is "due". It is not. Each flip is independent. The coin has no memory. In betting, this manifests when a team has lost four games straight and you feel a win is "overdue". If the losses were random variance around a true probability, the next result is independent of the previous four. ## Recency Bias Recency bias is the opposite error: overweighting the most recent events. A team wins three in a row and suddenly feels unbeatable. A striker scores in two consecutive matches and bettors pile onto the anytime scorer market at shrinking odds. Markets price in recency bias. When the crowd overreacts to a short run of results, prices on the "hot" side compress — meaning you are getting worse value for following the trend. ## Why Both Biases Are So Persistent They are not signs of stupidity. They are features of human pattern recognition. Our brains evolved to detect sequences because patterns in nature are usually meaningful. In a random process, this instinct backfires. ## The Discipline to Counter Them Before acting on a streak — positive or negative — ask: what is the sample size, and is this result consistent with known probability? A team that wins three out of ten games losing four in a row is not a crisis. It is within normal variance.