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Fairness and proof flow

Duplicate This Setup

Setup-reuse page for recurring draws, classroom routines, and seasonal workflows that should be easy to run again.

Productizes seeded results, replay, and setup reuse as trust featuresSupports classrooms, giveaways, and facilitation workflowsRoutes visitors toward explainable random flows instead of vague fairness claims
1

Input your list or options

2

Click draw

3

Get result and take next action

Proof layer

Use duplicate this setup to make the result explainable

People trust random results more when they can see the exact rule state, replay it, or compare it to the original setup. These pages package those trust layers into explicit product stories.

Explainable fairnessReproducible draw stateBetter moderation handoff

Recommended starting point

Open Secret Santa setup

Strong use case for recurring seasonal setup reuse.

Open tool →

Setup-reuse checklist

Use this when you need to explain how the result was produced and what people can verify afterward.

  1. 1
    Duplicate the setup before modifying it for a new event.
  2. 2
    Treat setup reuse separately from replaying an old result.
  3. 3
    Use setup duplication for recurring workflows, not for retroactively changing an old draw.

What this page helps you do

  • Preserve the first result before any redraw happens
  • Make the proof action visible near the result itself
  • Keep replay and reuse separate from a brand-new draw
  • Tie trust language to seeded state, not abstract fairness claims

Why the proof layer matters

Reuse is a trust and convenience feature

When people can duplicate the same setup later, the tool feels more operational and less disposable.

Recurring workflows deserve explicit support

Seasonal campaigns, repeated classes, and workshop series all benefit from repeatable setup language.

This page connects templates to actual execution

Templates suggest what to run; duplication makes the chosen setup easier to run again.

Quick FAQ

Why does Duplicate This Setup matter?

Because fairness claims only feel credible when people can see or repeat the exact draw state. These pages turn trust features into explicit product language.

Which workflows benefit most from proof pages?

Giveaways, classroom picks, workshop facilitation, and any public-facing draw where people may question whether the result was fair.

Keep exploring

Mobile: use the bottom bar for re-roll / reuse / share.