There is no credible evidence that wheelofnames.com rigs its draws, and the reason people think otherwise is almost always the same: short lists repeat far more than intuition expects.
That is the direct answer. Below is why the suspicion arises, what rigging would actually look like, and how to check any wheel yourself rather than taking anyone's word for it, including ours.
Why people think it is rigged
Three reasons, and the first accounts for most of them.
The same name keeps winning. On a wheel of six, one spin in six lands on the name that just won. Over a classroom morning or a work standup that happens repeatedly, and it feels broken because people expect random to mean evenly spread. Randomness clusters; it does not take turns.
| Names on the wheel | Chance the next spin repeats the last winner |
|---|---|
| 4 | 25% |
| 6 | 17% |
| 10 | 10% |
| 20 | 5% |
| 30 | 3.3% |
The animation looks like it is steering. A wheel that slows near a name and creeps past it looks pulled. It is not: the result is drawn first and the animation is calculated to land on it, using the same easing curve whatever won. A near miss and a clean landing come from identical code.
Some wheels genuinely can be rigged. Not wheelofnames, as far as anyone has shown, but tools exist whose entire selling point is a hidden control over the result. That those tools exist is why the question gets asked at all.
Is it possible to rig a wheel of names?
In principle, yes. Any web tool can weight a slice invisibly, discard an unwanted draw and redraw, or set an arc that does not match the odds it claims. That is true of every wheel on the internet, including this one, which is why the useful question is not who to trust but what to check.
Four mechanisms, and three of them show up in a test you can run yourself:
| Mechanism | What it does | How you catch it |
|---|---|---|
| Hidden weights | One slice wins more than its share | Spin a lot and compare counts |
| Post-draw filter | Fair draw, then a result discarded | Counts skew away from one slice |
| Arc mismatch | The visible slice is wider than its stated odds | Measure the arcs |
| Silent redraw | Unwanted results redrawn before you see them | Only readable code shows this |
The fourth is the reason a published test is not enough on its own and the code has to be inspectable too.
Is Wheel of Names trustworthy?
On the evidence available, yes. It is the most-used tool in this category, its results have been examined by a lot of people over a lot of years, and no credible demonstration of a rigged draw has surfaced.
We will not go further than that, because we have not audited their code and any stronger claim from us would be worth nothing to you. We are a competitor. Take our assessment of a rival with exactly the weight that deserves, and check for yourself using the methods above.
Is there a cheat in Wheel of Names?
Not one that anyone has demonstrated. The recurring claims tend to be someone misreading a run of repeats, or confusing a weighted wheel, where the odds are uneven on purpose and visible, with a rigged one.
That distinction is worth holding onto, because it is where most of the confusion sits.
How is a weighted wheel different from a rigged one?
A weighted wheel is uneven and says so. A rigged wheel is uneven and hides it. The mechanism is the same and the honesty is the entire difference, which is why weights belong on the face of the wheel rather than inside a settings panel.
On this site, a weighted slice takes a visibly larger arc, the weight is shown next to the name, and sharing the wheel carries the weights in the link, so the person you send it to sees what you see.
Two legitimate uses for weighting, and one that is not:
- Modelling a real probability, where the odds genuinely are uneven
- Admitting a preference, where you want one option favoured and say so
- Handing someone a wheel that looks even and is not, which is the rigged case wearing a different name
How do you check a wheel yourself?
Three things, in order of effort. Look for a stated random source, look for code you can read, and run a distribution test.
A distribution test takes about a minute. Load a wheel with a handful of entries, spin it a few hundred times, and count the results. Even counts within a few percent of each other are what an honest wheel produces; one slice consistently ahead is worth a second look.
A site that publishes none of those three is asking for trust it has not earned. Ours are on how our randomness works, including the code and our own test.
What about our wheel?
Every spin here draws from your browser's cryptographic random number generator, the result is chosen before the animation starts, and nothing is weighted unless you weight it yourself.
We would rather show that than assert it. The code and the distribution test are on the randomness page, and you can run the same test yourself in your browser console in under a minute.
Related reading
Fairness questions split two ways: whether the draw is honest, and whether a setting is doing something you did not ask for. These cover both.
- How our randomness works for the code and the test
- Weighted wheel of names for deliberately uneven odds, visibly set
- Wheel of names without repeats for the setting that fixes most fairness complaints
- Wheel of names for the wheel itself