Random sampling
Also known as: Random draw · Simple random sample · Seed · Reproducibility
Drawing a test's cases by pure chance, with a recorded seed, without hand-picking typical examples or filtering by channel, region or product — so the sample represents the base.
Legal basis
Wikipedia — Simple random sample
The validity of a test depends as much on how the sample is drawn as on who analyzes it. Simple random sampling means every eligible case has the same chance of being included, with no curation: hand-picking representative cases, or filtering by channel, region or product, injects the chooser's opinion into the sample and invalidates any generalization to the portfolio.
For the result to be reproducible, the draw records its seed — the number that initializes the random generator. With the same seed and the same data, anyone reproduces exactly the same sample, which makes the test auditable instead of a one-off, unrepeatable event.
Frequently asked questions
What is the seed of a random draw?
It is the number that initializes the random-number generator. Recording it lets you reproduce exactly the same sample later, with the same data — which makes the draw auditable and the test repeatable.