It is not difficult for computers to generate random numbers -- they just require a non-deterministic data source. Thermal, auditory, network, keyboards, mice, etc, all contain non-deterministic data (from the perspective of the computer, at least).

Pseudo-random numbers are deterministically reproducible.

This means that if I know the algorithm and seed state I can reproduce the same pseudo-random number sequence whenever I like -- this is a very useful property.

A pseudo-random number sequence can be produced by an algorithm.

An infinite pseudo-random number sequence contains a finite amount of information -- so we can store and communicate these infinite sequences.

Truly-random numbers are not deterministically reproducible.

A truly-random number sequence cannot be produced by an algorithm.

An infinite random number sequence contains an infinite amount of information -- we cannot store or communicate these infinite sequences.

## re: Explain the challenge of generating random numbers like I'm five VIEW POST

FULL DISCUSSIONIt is not difficult for computers to generate random numbers -- they just require a non-deterministic data source. Thermal, auditory, network, keyboards, mice, etc, all contain non-deterministic data (from the perspective of the computer, at least).

Pseudo-random numbers are deterministically reproducible.

This means that if I know the algorithm and seed state I can reproduce the same pseudo-random number sequence whenever I like -- this is a very useful property.

A pseudo-random number sequence can be produced by an algorithm.

An infinite pseudo-random number sequence contains a finite amount of information -- so we can store and communicate these infinite sequences.

Truly-random numbers are not deterministically reproducible.

A truly-random number sequence cannot be produced by an algorithm.

An infinite random number sequence contains an infinite amount of information -- we cannot store or communicate these infinite sequences.