This tool uses a pseudo-random number generator (PRNG) to generate a sequence of numbers that will be mapped to the values that the tool needs (e.g. values on a dice face, heads or tails for a coin, etc).

The numbers generated are independent of each other and is expected to be evenly spread across all possible values. For example, if there are two possible values, we expect to see about the same number of occurrences over multiple iterations.