Randomness Audit
Check the picker yourself. This page runs thousands of simulated spins through the same code the wheels use, then compares how often each entry won with how often it should have won.
| Entry | Share | Expected | Observed | Diff | Observed vs expected |
|---|
How to read this
What is being tested?
The selection code: the browser's cryptographic random number generator plus the step that turns it into an entry (with weights, if you add them). The spinning animation never decides the result, so it isn't part of the test.
What does the chi-square test say?
It measures how far the observed counts are from the expected ones and converts that to a p-value. A p-value above 0.01 means the counts are the kind of spread you'd expect from a fair picker. A fair picker still lands below 0.01 about 1 run in 100, so run it again if you see that.
Does this prove the picker is random?
No test can prove that. It checks for bias in how often each entry wins. It can't detect, for example, a hidden pattern in the order of results, and it tests the picker in your browser, not any server, because there isn't one.