Wheel Spinner

How ToolsDock keeps the wheel fair

Every spin on this wheel — and every simulation in the audit above — is driven by your browser's cryptographic random number generator, exposed through crypto.getRandomValues(). Unlike Math.random(), which uses a predictable pseudo-random algorithm intended for non-sensitive use, the Web Crypto API draws entropy from operating-system sources such as hardware timing jitter, interrupt noise, and dedicated RNG instructions on modern CPUs.

The result is what cryptographers call a CSPRNG: a high-entropy stream of bits that is computationally indistinguishable from true randomness. No prior spin can be used to predict the next one, and the winner is chosen before the wheel even starts animating — the rotation is then mathematically locked onto the chosen slice. There is no last-millisecond correction, no weighting, and no hidden bias.

The fairness audit lets you verify this yourself. Run between 10 and 100,000 simulated spins and compare each name's observed frequency against the ideal uniform expectation. We also report the chi-square statistic, the standard goodness-of-fit measure statisticians use to decide whether a distribution looks suspiciously skewed. If the χ² value sits below the critical threshold for your sample size, the distribution is indistinguishable from perfectly fair.

Everything runs locally in your browser. We do not record your spins, your names, or your audit results — open the developer console and watch the network tab if you want to confirm. Fairness, in our view, should be something you can see, repeat, and check rather than something you have to trust.