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Random Name Picker

Paste in a list of names and pick a winner at random — for giveaways, classroom questions, team assignments or deciding who buys lunch.

FreeFairInstant
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How it works

A compact workflow from input to download.

1

Paste your names

One name per line — as many as you like.

2

Pick a winner

A name is selected using your browser's cryptographic randomness, so every entry has an equal chance.

3

Pick again if you need to

Draw repeatedly to pick multiple winners.

Frequently asked questions

Is the selection genuinely fair?
Yes. It uses the browser's cryptographically secure random source, and every name on the list has exactly the same probability of being chosen. There is no weighting and no bias towards the top or bottom of the list.
Can I pick more than one winner?
Yes — draw repeatedly. If you need distinct winners, remove each name after it is drawn so it cannot be selected twice.
Is this good enough for a public giveaway?
For an informal one, yes. For a giveaway with real prizes and public scrutiny, the randomness is not the hard part — demonstrating fairness is. Record the draw on video, or use a service that produces a verifiable, auditable result, so that the outcome can be trusted by people who were not watching.
Does anything leave my browser?
No. Everything runs locally in your own browser tab — nothing is uploaded, logged or stored on any server, and closing the page discards it entirely.

Humans are terrible at being random

Ask a person to pick a name 'at random' from a list and they will not manage it, no matter how sincerely they try. Attention gravitates towards the middle of a list and away from the very top and bottom. Unusual or memorable names are chosen disproportionately. People unconsciously avoid picking the same person twice in a row, which is itself a pattern and therefore not random. Asked to choose a number between one and ten, a strikingly large share of people say seven. None of this is dishonesty — it is simply that human intuition has no mechanism for producing uniform randomness, and it reliably produces something that feels random while being measurably biased. Delegating the choice to an actual random source is not merely convenient; it is the only way to get what you were trying to achieve.

Fairness is not the same as being random

A draw can be perfectly random and still be disputed, because the people affected by it cannot see inside your browser. This is why serious draws separate two concerns: the randomness itself, and the ability to demonstrate afterwards that nothing was tampered with. Lotteries use physical machines in front of cameras and independent adjudicators, not because a computer could not do better arithmetic, but because a transparent physical process is one that losing participants can accept. If your draw has real stakes, record it, announce the method in advance, publish the entry list beforehand, and let people verify. Randomness is a technical property; fairness is a social one, and it has to be visible.