Consider a digital combination lock which has x dirty or worn buttons; that is, we know we have some combination containing exactly x different characters, but we do not know how many times each character is used, or where in the combination they are located. We want to know how many possible combinations there are if the code is n digits long. This is given by the expression below:

The equation grows with x, picking up an extra term every time x increases. These extra terms account for and remove invalid combinations which do not include all x characters in the n long sequence.
The first quantity in the equation is the total number of combinations of an n digit long code, with x possible characters available. The total number of combinations includes, for example, sequences where only one character is used n times. But we are only interested in sequences where all x characters are used (how many times each character is used is unknown, we only require that each character be used at least once). When x = 1, only the first term in the equation is needed, and the number of combinations is always 1 (there is only 1 combination to make an n long sequence with 1 character).
The second quantity is needed for x > 1, and eliminates all combinations where only one character is used. The third quantity is needed for x > 2, and it enumerates all combinations n long with only 2 characters used. Similarly, the third expression is needed for x > 3, and it enumerates combinations with 3 characters. Similar expressions are added for x > 4, 5, 6..., and it can be seen that these expressions follow a simple pattern.
The third term, which counts up all combinations that are n long and use exactly 2 characters from an available x characters, is the first term which is not immediately obvious. The quotient in the summation is a binomial coefficient (n choose j), and this tells us how many ways we may rearrange j of one character and n - j of another character to make up an n long sequence. The summation counts through all possible values for j and n - j (for example, in a 4 character long sequence, with characters A and B, we can have 1 A and 3 B's, 2 A's and 2 B's, or 3 A's and 1 B). The factor in front of the summation is another binomial coefficient, which counts the number of of ways we may choose 2 different characters out of x available.
The fourth and later quantities operate similar to the third. For the case x = n, the expression reduces to a factorial, where N = x! = n! can be used instead.
Below is a table enumerating the combinations with sequences as long as 10 digits using up to 10 different characters.
| Length of combination (n) | |||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | ||
| Number of characters used (x) | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | 0 | 2 | 6 | 14 | 30 | 62 | 126 | 254 | 510 | 1022 | |
| 3 | 0 | 0 | 6 | 36 | 150 | 540 | 1,806 | 5,796 | 18,150 | 55,980 | |
| 4 | 0 | 0 | 0 | 24 | 240 | 1,560 | 8,400 | 40824 | 186,480 | 818,520 | |
| 5 | 0 | 0 | 0 | 0 | 120 | 1,800 | 16,800 | 126,000 | 834,120 | 5,103,000 | |
| 6 | 0 | 0 | 0 | 0 | 0 | 720 | 15,120 | 191,520 | 1,905,120 | 16,435,440 | |
| 7 | 0 | 0 | 0 | 0 | 0 | 0 | 5,040 | 141,120 | 2,328,480 | 29,635,200 | |
| 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40,320 | 1,451,520 | 30,240,000 | |
| 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 362,880 | 16,329,600 | |
| 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,628,800 | |
It can be seen that if one were to pick a combination n digits long for their lock, it would be wise to pick a combination that uses x characters such that x maximizes the number of combinations available if n is publicly known. If a certain lock is known to use codes 5 digits long, for example, it would be best to pick a combination using 4 characters. This way, when the buttons become worn or dirty so that the characters used are known, it leaves the maximum possible number of combinations that one would have to guess before cracking the code.