List Randomizer / Shuffle
Randomize and shuffle list items online using the Fisher-Yates algorithm. Multiple shuffle passes supported. Free, fast, client-side tool.
Why Use the List Randomizer?
Need to randomly order a list? Whether you're picking winners for a giveaway, creating randomized test orders, or shuffling a playlist, our List Randomizer uses the proven Fisher-Yates algorithm for truly unbiased shuffling every time.
Key Features
- Fisher-Yates algorithm for statistically fair shuffling
- Support multiple shuffle passes for extra randomization
- One-click re-shuffle for new random orders
- Item count display for quick reference
How to Use
- Enter your items, one per line, in the input textarea
- Set the number of shuffle passes (default: 1)
- Click Shuffle to randomize your list
Technical Details
The Fisher-Yates shuffle algorithm produces an unbiased permutation — every possible ordering is equally likely. It works by iterating from the last element to the first, swapping each element with a randomly chosen element at or before it. Multiple passes increase entropy but a single pass is mathematically sufficient for uniform distribution.
FAQ
Is the shuffle truly random?
Yes, the Fisher-Yates algorithm produces a perfectly uniform random permutation when the underlying random number generator is uniform. We use JavaScript's Math.random().
Should I use multiple shuffle passes?
A single Fisher-Yates pass is mathematically sufficient for a uniform shuffle. Multiple passes don't improve randomness but may provide psychological confidence.
Related articles
How to sort lines: alphabetically, by length, and why “10” comes before “9”
Why “10” sorts before “9”, how alphabetical sorting differs from numeric, how to neutralize letter case and stray spaces, and how to sort a list online in seconds.
Random Numbers and a Fair Draw: How to Pick a Winner
How a random number generator differs from picking numbers in your head, how to run a giveaway people trust, and why participants should see where the randomness comes from.
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