ETEvoraTools
Random Generators

Random Order Generator

Random Order Generator rearranges every non-empty comma- or line-separated item using an in-browser shuffle. It changes order without intentionally adding or removing entries, and duplicates remain duplicates. Use it for informal speaking orders, task sequences, and game setup; reproducible experiments and audited assignments need a recorded seed and stronger process controls.

Runs locally — files stay on your device
Quick answer

Does shuffling remove or select list items?

No. It returns all cleaned entries once per input position, only in a new order.

A shuffle permutes existing list positions

A permutation contains the same positions in a different sequence. With N distinct items there are N! possible orders, although duplicated values make some visible orders indistinguishable.

How it works

Paste and review the list, run the shuffle, and copy the complete output. Decide in advance whether repeated entries are intentional.

Key concepts

All positions remain

A correct shuffle preserves list length and multiplicity.

Reproducibility requires a seed

This page intentionally produces a new order and does not expose the state needed to recreate it.

When to use it

  • Randomize an informal presentation order.
  • Shuffle study prompts or game setup items.
  • Remove an obvious original ordering from test data.

When not to use it

  • Do not use it for a reproducible experiment without a seed.
  • Do not assume duplicates are deduplicated.
  • Do not use it for consequential allocation requiring transparency and audit.

Worked examples

Speaking order

Input
Ana, Bo, Chen, Dina
Expected output
All four names in a new order

No participant is intentionally removed.

Duplicate prompt

Input
Red, Red, Blue
Expected output
Two Red positions and one Blue

Multiplicity is preserved.

Single item

Input
Only item
Expected output
Only item

There is only one possible permutation.

Common mistakes

Expecting duplicate removal

Shuffle preserves positions. Correction: Deduplicate before shuffling if required.

Regenerating until an appealing order appears

Selective reruns introduce human bias. Correction: Agree on one shuffle rule beforehand.

Expecting to reproduce an order

No seed is saved. Correction: Copy and record the result.

Best practices

  • Freeze and review the input first.
  • Record the first accepted output.
  • Use seeded software when reproducibility matters.

Related operations and differences

Coin Flip

Choose Coin Flip when you need to flip a virtual coin locally.; use Random Order Generator specifically for shuffle.

Dice Roller

Choose Dice Roller when you need to roll one or more dice with custom side counts.; use Random Order Generator specifically for shuffle.

Random Decimal Generator

Choose Random Decimal Generator when you need to generate a decimal inside a chosen range.; use Random Order Generator specifically for shuffle.

Random Integer Generator

Choose Random Integer Generator when you need to generate an integer inside an inclusive range.; use Random Order Generator specifically for shuffle.

Random List Picker

Choose Random List Picker when you need to pick one item from a pasted list.; use Random Order Generator specifically for shuffle.

Random String Generator

Choose Random String Generator when you need to create a cryptographically seeded random string.; use Random Order Generator specifically for shuffle.

Limitations and privacy

  • No seed, audit trail, grouping constraints, or fairness proof is provided.
  • Commas and line breaks delimit entries.
  • Identical values remain indistinguishable.

Inputs and generated results stay in this browser. No list or result is uploaded.

Frequently asked questions

Are all input items retained?

Every non-empty input position is returned.

Are duplicates removed?

No.

Can I reproduce the same order later?

Not from this page because it exposes no seed.

Is every visible order equally distinguishable with duplicates?

No. Duplicate values can make different positional permutations look identical.