Can I pick multiple items without repetition?

Yes. Set the pick count and uncheck "Allow Duplicates" to get unique picks. Each item can only be selected once per session.

How random is the picker?

Items are selected using Math.random(), which provides uniformly distributed pseudo-random values. Each item has exactly equal probability of being selected.

Is the picker fair to every item?

Yes. It uses a Fisher-Yates shuffle driven by the Web Crypto API, giving every entry exactly equal probability regardless of its position. Items at the top have no advantage over those at the bottom.

Can I make some entries more likely?

Yes. Add an entry more than once and it gets proportionally higher odds — listing a name twice doubles its chance. This mirrors how extra raffle tickets raise a person's likelihood of winning.

Is this fair enough to pick a giveaway winner?

Yes. The cryptographic randomness and equal weighting make it suitable for contests and giveaways. For transparency, run the draw on a shared screen so participants can see the selection is genuine.

How many items can I paste in?

You can paste thousands of lines; everything runs in your browser, so large lists are handled without uploading any data. Performance stays smooth even for big giveaway entry lists.

Can I use this to assign tasks or reviewers fairly?

Yes. Paste the list of people and pick one or several to assign a task, a reviewer, or a presenter. Equal probability ensures no one is unfairly favoured or repeatedly chosen.

Random Picker — Pick a Random Item from a List

How to use Random Picker

Pick one or more random items from any list you provide — paste names, options, or entries (one per line) and the tool draws a fair random selection instantly. Supports picking multiple unique winners, weighted entries, and repeatable draws. Use it for giveaways, classroom cold-calling, sprint retrospective icebreakers, team assignments, or any fair random selection from a custom list.

Enter your list of items in the text area, one item per line.
Set "Pick" to the number of items you want drawn.
Toggle "Unique" to prevent the same item from being picked twice.
Click Pick to draw, and see the selected items highlighted.
Click Pick Again to draw a new random selection from the same list.

Your data never leaves your device — 100% private processing.

Fair selection and bias prevention

A common mistake in ad-hoc random selection is using a biased method — shuffling a list by hand, pointing at a screen, or relying on "gut feel" often introduces unconscious bias toward items at the top or in certain positions. This tool implements Fisher-Yates shuffle over the full list using cryptographic randomness, ensuring each item has exactly equal probability of being drawn. For weighted draws (e.g., one person having two entries), simply add their name twice.

Giveaway and raffle use cases

For social media giveaways, collect entries as a text list (one per line) and paste them directly. Duplicate entries are allowed naturally — if an entry requires following + commenting (two actions), add the name twice. For transparency, run the selection on a shared screen or screen-share the process. For large giveaways (10,000+ entries), the tool handles the full list in-browser without any server upload. Results are ephemeral — no entries are stored or transmitted.

Worked examples

Giveaway winner

Inputs: 500 names, pick 1

Result: one fair winner; each name has a 1/500 chance

Pick 3 unique

Inputs: 20 names, pick 3 unique

Result: 3 distinct names with no repeats

Glossary

Fisher-Yates shuffle: An algorithm that produces a uniformly random permutation of a list — each possible ordering is equally likely.
Sampling without replacement: Picking items from a pool where each drawn item is removed before the next draw, ensuring no repeats.
Weighted selection: A draw where some items have higher probability of being chosen, proportional to a weight value.
Uniform probability: Each item in the pool has an equal chance of being selected on any given draw.

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Random Picker

How to use Random Picker

Fair selection and bias prevention

Giveaway and raffle use cases

Worked examples

Glossary

Related reading

Frequently Asked Questions

Why use Random Picker?

Common use cases

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