Introducing the Random Name Picker — Fair Draws with Seeded Randomness

The new Random Name Picker is live. Paste a list of names, set how many winners to pick, and get a verifiably random draw — with optional seed for auditable, reproducible results.

What it does

Paste any list of names — one per line or comma-separated — and the tool picks one or more winners using a Fisher-Yates shuffle algorithm seeded with a mulberry32 pseudorandom number generator. The animation reveals each winner one by one for single picks, making it satisfying for live draws.

Key features:

• Any number of winners — pick 1 to 500 names from any size list.
• Seeded draws — set a seed number and the draw is fully reproducible. Share the seed and anyone can verify the outcome wasn’t manipulated.
• Auto-detect separators — paste names comma-separated or one per line; the tool figures it out automatically.
• Remaining pool — after picking, the tool shows which names were not drawn, useful for sequential rounds.
• Wrap-around — if you ask for more winners than names in the list, it reshuffles and continues drawing without repeating until enough picks are made.

When to use it

Teachers and educators use it to call on students, assign presentation slots, or form teams without the perception of favouritism.

Giveaway organisers use the seed feature: announce the seed publicly before entries close, run the draw after the deadline, and publish both the seed and the full entry list so anyone can reproduce the exact result.

HR and team leads use it for assigning on-call rotations, pairing partners for projects, or randomising the order of retrospective speakers.

Event hosts use it for raffle draws at conferences, meetups, and office parties.

Why seeded randomness matters for fairness

A common complaint about random tools is “how do we know it wasn’t rigged?” With a seeded draw, the answer is verifiable. The seed is a number that initialises the pseudorandom number generator. Given the same seed and the same list (in the same order), the tool will always produce the same result. This means the draw is:

• Deterministic — the outcome is fixed once the seed and list are set.
• Auditable — any third party can run the same draw independently and get the same winners.
• Tamper-evident — changing the list (adding or removing names) or the seed changes the outcome, so manipulation is detectable.

For casual draws — classroom activities, team assignments, lunch-order choices — use seed 0 (which triggers Math.random() for a fresh random draw every time).

For formal draws — giveaways, prize raffles, competition brackets — announce the seed publicly before the entry window closes. After entries close, publish the list and seed. The tool’s deterministic output becomes a verifiable audit trail.

Related randomisation tools

For binary decisions (heads or tails), use the Coin Flipper. For probabilistic decisions with multiple outcomes, the Decision Wheel lets you customise weighted slices. For tabletop and game use, the Dice Roller covers standard and custom dice configurations.

The Random Name Picker is free, runs entirely in your browser, and stores nothing — the name list you paste never leaves your device.