How to Use the Fair Lottery Result Verifier
This tool uses a chi-squared test to check whether a specific group won significantly more or fewer prizes than expected by chance. Enter total participant and winner counts alongside the group-level breakdown to get an instant statistical verdict.
A p-value below 0.05 indicates statistically significant bias — meaning the observed difference is unlikely to occur by random chance alone. However, statistical significance alone does not prove manipulation; it flags results worth further scrutiny.
Frequently Asked Questions
Results are classified at four thresholds: p < 0.001 (very strong), p < 0.01 (strong), p < 0.05 (significant), and p < 0.10 (weak). Above 0.10, no significant bias is detected.
Yes — the chi-squared test is two-tailed and detects deviation in either direction (group winning too much or too little).
Chi-squared results are less reliable when expected cell counts fall below 5. The tool will warn you if this is the case.