Understanding True Probability
If you flip a perfectly balanced coin 10 times, you might get 7 heads and 3 tails. Does this mean the coin is rigged? Or that heads has a 70% chance of winning? This is a common misconception about randomness. The Law of Large Numbers dictates that the actual result will only converge on the expected probability (50/50) as the number of trials increases significantly.
Why Short-Term Streaks Occur
In small sample sizes, extreme variances—like flipping heads five times in a row—are entirely normal. Unfortunately, human brains are wired to see patterns where none exist. We assume a 'streak' is meaningful. True RNG systems, like our coin flipper, demonstrate this beautifully: they don't force a 'tails' just because the last five flips were 'heads'; every discrete event remains perfectly independent.