That absurd 12–0 run is less miracle, more audit report. One crazy bounce off the rim and backboard only dramatizes what possession math has been whispering all game: stack enough independent events, and streaks stop being anomalies and start being inevitabilities.
This surge is probability cashing its chips. Each trip down the floor is a Bernoulli trial, with expected points per possession and variance built in, so a short window where one side hits at the top of its distribution while the other stalls at the bottom is not a glitch, it is the distribution showing its tail. Given dozens of possessions, a clean 12–0 slice sits perfectly inside what the binomial model says is not just possible, but statistically ordinary over long sequences.
The real edge hides in game‑theory decisions. Once that fluke bounce flips a three into points instead of a rebound, coaches adjust strategy: one leans into high‑volatility options like early threes and aggressive pick‑and‑roll coverage, the other may react with conservative shot selection and slower pace, unintentionally widening the payoff gap. Those shifts change the payoff matrix for each possession, nudging expected value just enough that, for a handful of trips, the process amplifies variance instead of damping it. What looks like magic is rational agents, noisy outcomes, and a finite sample size conspiring in plain sight.
