Factorial of 216

Counting with 216!

There are 1.0020 × 10^412 different ways to arrange 216 different books on a shelf: 216 choices for the first place, 215 for the second, and so on down to one choice for the last. If you only fill the first three places, as with gold, silver and bronze among 216 runners, there are 216 × 215 × 214 = 9,938,160 possible podiums. If the order does not matter, divide by 3! = 6 to get 1,656,360 ways to choose a group of three. Choosing a pair from 216 people can be done in 23,220 ways.

In probability, if 216 names are drawn out of a hat one at a time, the chance of drawing them in one particular order is 1 in 1.0020 × 10^412. That is why shuffled decks and passwords with many symbols are so hard to guess.

How big is 216!?

216! has 413 digits, so it is larger than the estimated number of atoms in the observable universe (about 10^80). The digits add up to 1575, a multiple of 9, as they are for every factorial from 6! on. Stirling's formula, √(2πn) × (n/e)^n, gives a close estimate without multiplying everything out, and gets more accurate as n grows.

Prime factors of 216!

Every prime up to 216 divides 216!. Legendre's formula counts how often: add ⌊n/p⌋ + ⌊n/p²⌋ + ⌊n/p³⌋ + … for each prime p. For 216! that gives 2^212 × 3^106 × 5^52 × 7^34 × 11^20 × 13^17 × 17^12 × 19^11 × 23^9 × 29^7 × … (47 primes in all). The 52 trailing zeros come from pairing the 52 factors of 5 with factors of 2.

Shuffles where nothing stays put

A related count is the number of derangements of 216 items: orders in which no item ends up in its original place, as in a Secret Santa where nobody draws their own name. The count is the whole number nearest to 216! ÷ e, so about 36.8% of all 1.0020 × 10^412 orders are derangements. From about four items on, that share stays close to 1 ÷ e, roughly 37%, however many items there are.

Computing 216! yourself

In Excel or Google Sheets, type =FACT(216). Spreadsheets keep only 15 significant digits, so from 18! on the result is rounded, and FACT stops at 170!, the largest factorial that fits in a standard floating-point number. In Python, math.factorial(216) returns the exact integer with all 413 digits, because Python integers have no size limit. The gamma function extends factorials to fractions: Γ(n + 1) = n!, so (1/2)! = √π ÷ 2 ≈ 0.8862.

Why is 0! equal to 1?

There is exactly one way to arrange nothing, and the rule n! = n × (n − 1)! only works for n = 1 if 0! = 1. Defining it this way keeps formulas for combinations and series correct at the edges.