Interactives · Entry 9.6

Six dice, or six thousand?

When a die is thrown, there is no knowing what will come up. Over thousands of throws, the share of aces becomes almost predictable.

The question

A die lands on the ace one time in six: is that true over six throws?

Without JavaScript, here are the animation’s data.

What the calculation predicts (one ace in six on average) (calculated values)
ThrowsAces expected on averageIn 95% of series, number of acesThat is, a share of aces of
610 to 30 to 50%
60105 to 168.3 to 26.7%
60010082 to 11813.7 to 19.7%
6,0001,000944 to 1,05715.7 to 17.6%

Over 6 throws, there is no ace about one time in three (33%). Over 6,000 throws, the number of aces is more than 60 away from 1,000 in only 3.6% of series: “very rarely”, as the article says.

These figures are calculated exactly (binomial distribution), for a fair die.

The takeaway A small number of throws can give almost anything. The more you throw, the more tightly the share of aces gathers around one in six: this is the law of large numbers.

Sources 1
  1. Bernoulli, Jacques, Ars Conjectandi, Bâle, 1713, public domain ; partie IV traduite en anglais : Sheynin, Oscar, On the Law of Large Numbers, Berlin, 2005, part IV, chapter 4.

    even the most stupid person, all by himself and without any preliminary instruction, being guided by some natural instinct […] feels sure that the more such observations are taken into account, the less is the danger of straying from the goal

    Public domain and open access open the source · checked on 24 October 2026

Read the entry 9.6 · Chance, data and large numbers

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