Factorial of 267

Counting with 267!

There are 3.4226 × 10^533 different ways to arrange 267 different books on a shelf: 267 choices for the first place, 266 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 267 runners, there are 267 × 266 × 265 = 18,820,830 possible podiums. If the order does not matter, divide by 3! = 6 to get 3,136,805 ways to choose a group of three. Choosing a pair from 267 people can be done in 35,511 ways.

In probability, if 267 names are drawn out of a hat one at a time, the chance of drawing them in one particular order is 1 in 3.4226 × 10^533. That is why shuffled decks and passwords with many symbols are so hard to guess.

How big is 267!?

267! has 534 digits, so it is larger than the estimated number of atoms in the observable universe (about 10^80). The digits add up to 2043, 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 267!

Every prime up to 267 divides 267!. Legendre's formula counts how often: add ⌊n/p⌋ + ⌊n/p²⌋ + ⌊n/p³⌋ + … for each prime p. For 267! that gives 2^263 × 3^131 × 5^65 × 7^43 × 11^26 × 13^21 × 17^15 × 19^14 × 23^11 × 29^9 × … (56 primes in all). The 65 trailing zeros come from pairing the 65 factors of 5 with factors of 2.

Shuffles where nothing stays put

A related count is the number of derangements of 267 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 267! ÷ e, so about 36.8% of all 3.4226 × 10^533 orders are derangements. From about four items on, that share stays close to 1 ÷ e, roughly 37%, however many items there are.

Computing 267! yourself

In Excel or Google Sheets, type =FACT(267). 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(267) returns the exact integer with all 534 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.