Provably Fair Seed Analyzer
Batch-analyze entire seed chains to verify fairness at scale. Generate thousands of rounds from a revealed server seed, inspect distribution patterns, detect anomalies, and confirm the casino's outcomes are statistically sound.
Understanding Seed Chains
How Provably Fair Chains Work
A seed chain is a sequence of server seeds, each committed via its SHA-256 hash before any bets are placed. Each round uses the same server seed combined with your client seed and an incrementing nonce to produce a unique HMAC-SHA256 output. The game result is derived deterministically from this hash. Because the server seed is locked in by its hash commitment, the casino cannot change it after you place your bet. The entire chain is verifiable once the server seed is revealed after rotation.
Seed Rotation
Casinos rotate server seeds periodically (every few thousand bets or on manual request). When a rotation occurs, the old server seed is revealed so you can verify every bet made under it. A new server seed is generated and its hash is committed. This is why batch analysis matters: you should verify every round in a seed's lifetime, not just a few. Consistent rotation with timely reveals is a sign of a trustworthy operator.
Verifying Fairness at Scale
Single-bet verification proves one outcome was not rigged, but batch analysis proves the entire system is fair. By generating thousands of results from the same seed chain, you can apply statistical tests like chi-squared to compare the observed distribution against the expected mathematical distribution. If the results pass these tests, the seed chain was generated without manipulation. This tool automates that exact process.
What Bias Looks Like
In a fair crash game, roughly 50% of rounds land below 2x and the distribution follows an inverse-square curve. Bias would appear as: significantly more low multipliers than expected (higher house edge), non-uniform dice rolls clustering around certain values, or coinflip results deviating far from 50/50. A chi-squared p-value below 0.01 on a large sample (1000+ rounds) is a red flag. However, small samples can show apparent bias by pure chance, so always test with at least 500 rounds.
Want Single-Bet Verification?
Use our Provably Fair Seed Verifier to check individual game results with step-by-step hash breakdowns and calculation traces.
