A statistical lens for strange numbers in crypto. $BENFORD brings mathematical curiosity to public datasets — exploratory, transparent, and backed by the distribution that appears across tax returns to blockchain transactions.
Benford's Law has been used as a screening tool in financial data for decades. We're bringing that same mathematical rigor to crypto.
Apply Benford's Law to any blockchain dataset. Detect anomalies in transaction volumes, wallet balances, and token distributions in real time.
Naturally occurring data follows Benford's distribution. Deviations signal manipulation — wash trading, inflated volumes, fabricated metrics.
Continuous monitoring. Every new block, every new transaction — tested against the mathematical expectation. Trust the math, not the narrative.
Paste any dataset and instantly see its first-digit distribution compared to Benford's expected curve. Open, free, no sign-up required.
Full mathematical foundations, application methodology, and tokenomics. Peer-reviewed approach to applying century-old statistics to decentralized finance.
Future community experiments could help prioritize which public datasets, chains, or examples are worth studying next.
Future versions could inspect public numerical datasets such as transaction amounts, block sizes, gas fees, wallet balances, or token supplies.
Isolate the first significant digit of every number in the dataset. Build the observed frequency distribution for digits 1 through 9.
Overlay the observed distribution against Benford's expected curve. Statistical tests (chi-squared, MAD) quantify deviation — flagging datasets that don't conform.
Enter numbers separated by commas, spaces, or newlines.
$BENFORD turns a century of statistical science into a crypto-native curiosity lens. Explore the whitepaper, test the analyzer, join the community that values transparency above all.