Can a predictable rule make random-looking numbers?
A computer can generate a sequence that looks unpredictable and then produce the same sequence again. Pseudorandom generators make that possible by following a rule from a starting state, or seed. Repeatability can be useful even when the numbers are meant to behave like random samples.
Questions you could explore
- When would reproducing a random-looking sequence be an advantage?
- What can a pattern test tell you, and what can it leave unresolved?
Start reading
- Python Software Foundationrandom: Generate pseudo-random numbers
Describes a real deterministic number generator and explains how its starting state can make results repeatable.
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