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Dice do not remember the last roll

Five heads in a row, so tails must be due. Why that feeling is wrong.

⏱ About 2min read ·Information updated 2026-09-22

📋 Key facts

Key
In independent trials, past results do not change the next probability
Gambler's fallacy
The sense that something is 'due' has no basis
Low odds
Low probability means a high expected count and wide variance
Note
Repeatedly chasing low odds escalates spending quickly

A coin has no memory

Five heads in a row does not change the probability of heads on the next toss; it stays one half. A coin has no mechanism for storing past results. People nonetheless feel that balance must be restored and judge from that feeling. This is the gambler's fallacy.

So why does it approach half

It is true that the ratio approaches half over many tosses. That happens not because past imbalance is compensated but because, as trials accumulate, the early imbalance becomes a smaller share of the whole. The run of five does not disappear; it is diluted. Separating those two explanations changes how you judge.

What a 1% chance actually means

At 1%, it feels as though a hundred attempts should produce one hit. In reality, the chance of getting nothing in a hundred attempts is over a third. Low-probability trials carry both a high expected count and far wider variance, so planning from the average alone goes badly wrong.

  • 1% over 100 attempts: roughly 37% chance of nothing
  • 1% over 200 attempts: roughly 13%
  • 'On average 100' does not mean half succeed within 100
  • A guaranteed-drop mechanism changes the calculation completely

Looking random versus being random

Shown a genuinely random sequence, people feel it is too clustered to be random, because real randomness naturally produces runs. Sequences people invent to look random contain too few runs. A result feeling strange is therefore not evidence that anything was manipulated.

What you can use in a game

The usable principles are simple: do not predict the next result from the last, plan low-probability attempts around a near-worst case rather than the average, and set a limit before starting. This explains how probability works; it is not advice about which games to play or how much.

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