Score contract
A number is a model
Every future score must expose variables, source population, transformations, weights, missingness, sensitivity, uncertainty, and version.
- Data dictionary
- Normalization
- Weights
- Missing-data policy
Published facts remain sourced; every unfinished model, scenario, or recommendation is explicitly labeled.
How facts and examples are separated ↗BlackMaxxing Scores
A unified architecture for City, Career, Product, Employer, and College ROI scoring with versioned inputs and visible uncertainty.
Score contract
Every future score must expose variables, source population, transformations, weights, missingness, sensitivity, uncertainty, and version.
Personalization
Users may adjust priorities while the system distinguishes personal preference from the base evidence model.
Authenticity contract
Where genuine evidence exists, the site publishes it with source, vintage, identifier, and limitation. Where a marketplace, review, recommendation, partnership, price, benefit, event, or score lacks real-world support, the interface remains a clearly labeled example.
Audit genuine datasets ↗Read the commercial firewall ↗