Mathematics is full of pseudorandomness—plenty enough to supply all would-be creators for all time.
Anyone who considers arithmetical methods of producing random digits is, of course, in a state of sin.
Sequences of "random" numerical values are used in many statistical procedures, in numerical mathematics, in physics, and also in number-theoretic applications to replace statistical observations or to automate the input of variable quantities. Random numbers are used:
to select random samples from a larger set,
in cryptography to generate keys and in running security protocols,
as initial values in procedures to generate prime numbers,
to test computer programs ...