Short answer: nobody outside the company can prove how any website wheel picks its winner just by using it, and that includes Wheel of Names. What you can do is learn what fair randomness looks like, run a test, and know the warning signs. Full disclosure: we run a competing wheel, SpinTheWheel.pro, so read this as a method you can check yourself, not a verdict on anyone else.
What we can and cannot know about Wheel of Names
We have not seen the source code of Wheel of Names, and nobody can read how it chooses a winner by watching the wheel spin. We are not claiming it is unfair. We are saying that, for any website wheel, the person who runs it controls the result, and users have to rely on the explanation the site gives plus whatever they can test.
That is not a special weakness of one website. It is true of every online randomiser, including ours. The practical question is not "can I be 100% sure?" but "what evidence is available, and how much do I need for this decision?" For choosing who answers a question in class, a casual check is enough. For a prize draw, you want more.
Why wheels feel rigged
Most "rigged wheel" suspicions come from how people read randomness, not from the wheel. Real random sequences look streaky. If you spin a fair two-entry wheel 100 times, you will see five or more of the same result in a row about four times out of five. Most people expect streaks of two or three at most, so a run of six feels like proof of a fix.
Three other things add to the feeling: small samples (a handful of spins say almost nothing), the spin animation (it makes the winner look like a physical accident near a slice edge, when the result was chosen before the wheel moved), and memory (we remember the one time a name came up three times and forget the hundred times it did not).
Run the test: 10,000 spins in your browser
This test uses the same random function and the same weighted-pick code that powers the wheel on this site. Pick how many entries, how many spins and whether the odds are equal, then run it. It tests our wheel, not anyone else's, but it shows you what fair randomness looks like so you can recognise it elsewhere.
Press “Run the test”. Nothing is sent anywhere; it runs in your browser.
| Entry | Expected | Actual | Share | Off by | Distribution |
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How to read the results
With fair odds, each entry should land near its expected count, but not exactly on it. The "off by" column measures the gap in standard deviations (σ). About two thirds of entries land within 1 σ, about 95% within 2 σ and almost all within 3 σ. One entry out of several landing beyond 2 σ is normal; beyond 3 σ is rare, roughly 1 in 370 per entry.
Run the test several times. The counts change every time, and that is the point. A wheel whose counts were suspiciously perfect (exactly 2,500 each time) would be the one to worry about.
How to test any wheel yourself
You can test any wheel, ours included, with nothing but a tally sheet.
- Set up a wheel with two entries, A and B. Add each spin to a tally.
- Spin at least 100 times (more is better). For two entries at equal odds, 40 to 60 of one entry is normal (about 95% of fair runs land there).
- With four entries, each should land roughly 17 to 33 times in 100 spins.
- Watch the longest streak. In 100 fair spins of two entries, the longest run is usually 5 to 8.
- Be honest about what a small test can show. Crude bias (say 70/30) shows up in 100 spins; subtle bias (55/45) needs hundreds or thousands.
- Repeat on different days, because a result that is fine once and odd later is more interesting than a single odd run.
Warning signs of an unfair wheel
Fair randomness is hard to prove from outside, but unfair designs often leave clues.
- The result depends on how or when you click, how long you hold the button, or where the mouse is.
- The same entry never comes up twice in a row. That means the tool is smoothing out streaks, which feels fair but is not random.
- Hidden weights or "favourites" you cannot see on the wheel.
- The site gives no explanation at all of how it picks a winner.
- Results that differ depending on a login, a paid plan or a device you cannot explain.
How the wheel on this site picks a winner
When you press Spin, the page asks your browser's cryptographic generator (crypto.getRandomValues) for a random number, maps it to an entry using the weights on the wheel, and only then animates to that entry. The animation cannot change the result. We explain every step on the fairness page, and we say plainly what we cannot prove: a browser tool cannot show other people that you did not edit the result, which is why we offer a public record of each draw rather than calling it proof.
If you want to try it for something that matters, draw live, share the entry list beforehand and keep a recording. Our giveaway guide has a checklist, and the general explainer covers randomness in more depth.
Frequently asked questions
Can Wheel of Names be rigged?
Any website wheel is controlled by whoever runs it, so in principle any of them could be. We have no evidence that Wheel of Names is, and we cannot see its code. Use the test on this page to learn what fair results look like.
Is Wheel of Names random?
We cannot confirm how it picks winners because we have not seen its code. You can run a tally test on any wheel: with two entries, about 95% of fair runs of 100 spins land between 40 and 60 for each entry.
How many spins do I need to test a wheel?
At least 100 for a rough check and several hundred or more to notice a subtle bias. A handful of spins tells you almost nothing.
Why do wheels give the same result several times in a row?
Because fair random sequences contain streaks. In 100 fair two-entry spins, a run of five or more shows up about 80% of the time.