Candidate variables
Opportunity has dimensions
The framework separates observed labor-market measures from user preferences and forecast assumptions.
- Pay level and distribution
- Employment scale
- Education and licensing
- Growth and geographic mobility
Published facts remain sourced; every unfinished model, scenario, or recommendation is explicitly labeled.
How facts and examples are separated ↗Scores / Career
A proposed model for compensation, employment scale, entry burden, resilience, mobility, and personal fit.
Candidate variables
The framework separates observed labor-market measures from user preferences and forecast assumptions.
Publication gate
The model needs a reference population, projections vintage, training-cost sources, sensitivity analysis, and missing-data treatment.
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 ↗