MAINNET LIVE

Size-Based Credit Scoring

Revolutionary lending based on penile dimensions and characteristics

Analysis of 12,000+ applications reveals statistically significant correlation (R²=0.78) between anatomical measurements and default rates

1.2%
Default Rate
Below Industry Avg
892
Total Loans Issued
Since 2024
$3.7M
Total Capital Lent
USDC
18.7%
Average APY
Variable Rate

Penis-Based Credit Assessment

Upload a photo of your penis for instant AI creditworthiness analysis

Our proprietary algorithm measures length, girth, curvature, and vein patterns

HIPAA Compliant
Bank-Grade Security
AI Penis Analysis Only

Empirical Evidence

Comprehensive analysis of 2.3 million borrowers demonstrates clear correlation between anatomical measurements and repayment probability

Statistical Significance

2.2% default rate among Tranche A borrowers (n=89). Pearson correlation coefficient of 0.78 (p<0.01)

Real-Time Assessment

Neural network processes biometric data with 3.7 second median response time. 99.8% accuracy rate

GDPR Compliant

Zero-knowledge proof architecture. Biometric data processed locally and immediately discarded post-analysis

Risk-Adjusted Tranching Model

Initial cohort analysis of 847 borrowers reveals promising inverse correlation between anatomical measurements and default probability

Our proprietary risk model segments borrowers into four distinct tranches based on comprehensive biometric analysis. Early data shows promising differences in repayment behavior across tranches (ANOVA F-statistic: 42.7, p<0.05).

Tranche A: Superior (≥9")
n=89 • Default Rate: 2.25% • Avg Loan: $12,800
5-8% APY
Lender Returns
Tranche B: Prime (6-9")
n=234 • Default Rate: 4.27% • Avg Loan: $7,500
12-15% APY
Lender Returns
Tranche C: Standard (4-6")
n=392 • Default Rate: 8.67% • Avg Loan: $3,200
20-25% APY
Lender Returns
Tranche D: Subprime (<4")
n=132 • Default Rate: 15.91% • Avg Loan: $1,500
35-50% APY
Lender Returns

Methodology: Risk-adjusted returns calculated using Sharpe ratio optimization. Lender APY inversely proportional to tranche default probability. Monte Carlo simulations (n=1,000) suggest pricing model validity with 90% confidence interval.