How does the picker wheel choose a winner?

The wheel divides the circle into equal segments for each active entry (or weighted proportions in weighted mode). When the spin ends, the entry under the fixed top arrow is declared the winner.

What is weighted mode and how are probabilities calculated?

Each entry’s chance is proportional to its weight: probability = entryWeight / sumOfAllActiveWeights. Higher weight increases the likelihood of selection.

What is elimination mode?

In elimination mode, the winning entry is automatically removed from the next spin so the same item cannot win again in the current round.

What is accumulation mode?

Accumulation mode increments a win counter for each selection without removing entries. Use it for best-of-N decisions or repeated trials.

Is the randomness cryptographically strong?

When available, the tool uses window.crypto.getRandomValues for stronger randomness. It falls back to Math.random() if necessary.

Does the tool store my data or send it to a server?

Your entries and settings are stored locally in your browser’s localStorage. They are not uploaded to any server.

Can I paste a list and include weights?

Yes. Use the format label|weight, one per line or comma-separated. For example: Ali|1, Fatima|2, Omar|1.

How do I avoid duplicate winners?

Use Elimination mode, or the 'Pick K winners' feature which selects multiple distinct winners without replacement.

Can I spin multiple times automatically?

Yes. Use 'Spin N times' for automated repeated spins. Consider enabling Fast mode to skip animation.

Is this tool mobile-friendly and accessible?

Yes. The interface supports responsive layouts, keyboard shortcuts, ARIA labels, and color-contrast-aware themes including dark mode.

What if I need transparency for a public draw?

Announce the rules, use elimination or K winners, record the Results Log, and optionally share the saved list JSON to show the initial state and weights.

Advanced Multi-Purpose Picker Wheel

Inputs

Add a choice

Weight

Bulk add (comma or newline separated)

Tips: Use "label|weight" in bulk input for weighted entries. Weighted mode favors higher weights on selection. Autosaves as you edit.

Mode & Options

Action Mode

Spin Duration (ms)

Base Turns (full rotations)

Easing

Slowdown wobble

Results Log

#	Result	Mode	Time

Wheel

Spin N times

Pick K winners

Fast (no animation)

Entries

Label	Weight	Wins	Status

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Educational & User Guide

How to Use

Add choices one-by-one or paste multiple in bulk.
Choose an Action Mode (Normal, Elimination, Accumulation, Weighted).
Adjust spin duration and base turns for the animation.
Click Spin. The arrow marks the winner.
View the Results Log and per-entry Wins.

Action Modes

Normal: One-off result; entries stay on the wheel.
Elimination: Winner is removed from the next spin.
Accumulation: Each win increases the entry’s count.
Weighted: Higher weight → higher chance to win.

Tips & Fairness

Default randomness uses cryptographically strong values where possible.
Use Elimination to avoid repeats in classrooms or raffles.
Use Accumulation for “best-of-N” decisions (e.g., choosing meals).
Weighted mode is great for raffles with tiered prize odds.

Customization

Shuffle colors for clearer segments.
Set weights to bias selection.
Reset counts to start a fresh session.
Saved list persists in your browser (localStorage).

Example Use Cases

Pick a random winner for a giveaway.
Assign students to answer questions (Elimination).
Form teams by spinning names repeatedly.
Decide what to eat (Accumulation after multiple spins).

Privacy & Offline

All processing happens in your browser.
No files or data are uploaded to a server.
Works offline once loaded (consider adding a Service Worker later).

How the Selection Works

The picker wheel divides the circle into segments corresponding to active entries. In normal mode, these segments are equally sized, so each active entry has the same chance. The wheel renders using HTML Canvas and rotates with an easing function for a smooth visual effect, but the actual selection is determined by the final angle relative to a fixed top arrow (marker). The segment that ends under this arrow is declared the winner. This approach ensures visual clarity—what you see when the wheel stops is exactly what the code will select.
The animation uses time-based easing to simulate acceleration and deceleration. The easing does not skew the underlying randomness; it only affects the path the wheel takes to reach its final angle. If Fast mode is enabled, the animation is skipped and the wheel jumps directly to the computed final angle for an instant result. Either way, the pointer alignment logic ensures the intended entry aligns under the arrow at the end of the spin.

Weighted Selection Methodology

In weighted mode, entries are selected in proportion to their weights. The algorithm builds a cumulative distribution of weights for all active entries, samples a random value between 0 and the total weight, and returns the entry whose cumulative span contains that random value. This is a standard approach for discrete probability distributions.
For example, if you have three entries with weights 1, 1, and 2, then their probabilities are 25%, 25%, and 50% respectively (1/4, 1/4, 2/4). Weighted selection is useful for raffles, priority selections, or any scenario where you want to bias outcomes. If fairness with no bias is desired, use normal mode or set all weights equal.

Fairness, Transparency, and Best Practices

Mode choice: Use Elimination to prevent repeat winners in a single round, or Accumulation if you want to count wins across multiple spins.
Public draws: Announce the rules, show the list of entries and their weights, and keep the Results Log visible.
Record keeping: Use the Export feature to save the list (and optionally screenshots) for transparency.
Bias awareness: Weighted mode intentionally biases selection. Use normal mode if equal chances are required.
Duplicates: Use the Dedupe action to remove identical entries before drawing.

If you need additional assurances for randomness, prefer modern browsers that expose cryptographic randomness via window.crypto.getRandomValues. The tool automatically uses this source when available and falls back to Math.random() otherwise.

Performance, Accessibility, and Offline Use

The wheel automatically adjusts for high-DPI displays to maintain crisp visuals. For large lists, Fast mode and batch actions like “Spin N times” keep the UI responsive. Keyboard shortcuts (e.g., Ctrl+Enter to spin) improve efficiency.
Accessibility features include appropriate ARIA labels, structured headings, focusable controls, and dark-mode friendly color contrasts using CSS variables. Data persists in your browser via localStorage and does not leave your device, making the tool suitable for offline or privacy-sensitive contexts once the page has loaded.

Frequently Asked Questions

How do I add many entries at once?

Use the Bulk add field. Paste comma- or newline-separated items. You may include weights using the format label|weight.
How can I ensure nobody wins twice?

Use Elimination mode or “Pick K winners,” which selects multiple distinct winners without replacement.
What does the “wins” column mean?

It counts how many times an entry has been selected in Accumulation, Weighted, or Normal modes.
Is the animation necessary for the result?

No. The animation is visual feedback. The final angle determines the winner; Fast mode bypasses animation entirely.
Can I change the time it takes to spin?

Yes. Adjust “Spin Duration (ms)” and “Base Turns.” These control the easing timeline and total rotations.
How are colors assigned?

Colors are assigned from a distinct palette or evenly spaced HSL hues for larger lists. Use “Shuffle Colors” for clarity.
Does the tool work offline?

Yes, once loaded. All operations and data storage happen locally in the browser.
Where are my entries stored?

They’re saved in localStorage under a key for this tool. Use Export/Import to back up or transfer lists.
Is there a way to copy the winner?

Yes. Click “Copy Winner” or use your clipboard manually from the Results section.
How can I prove fairness?

Share your entries and weights, keep the Results Log, consider elimination/unique selection, and show the selection method publicly.
Can I limit weights to certain ranges?

Weights must be positive integers. You can enforce policies in your input process and visually review the table.
Does device speed affect results?

No. The final winner is purely angle-based selection; animation speed does not influence randomness or outcome.