Drawing a subset vs. shuffling a full list
These solve two different problems that often get confused. Picking winners out of a larger pool is a subset draw, where most entries are not selected at all. Deciding the order everyone goes in (like presentation order in a meeting) is a full shuffle, where every single name ends up somewhere in the final list, just in a randomized position.
Why "no repeats" matters for fairness
A fair draw removes each selected name from the remaining pool before picking the next one, so nobody can be picked twice in the same draw and nobody's odds change unfairly partway through. A generator that allows repeats within a single draw would let the same name win multiple times, which is rarely what a raffle or team-order picker is actually meant to do.
Frequently Asked Questions
Can the same person be picked twice in one draw?
Not in a properly built no-repeat draw β once a name is selected, it is removed from the pool for the rest of that draw. If you see a name repeated, check whether the tool is actually configured for repeat-allowed sampling rather than a single fair draw.
Is shuffling a list the same as picking random winners?
No. Shuffling reorders every name with none excluded, which is right for setting an order (like who presents first). Picking winners selects only some names and leaves the rest out entirely, which is right for a raffle or lottery-style selection.