Documentation
README
Research Methodology
Core Principles
Every data point must have a source and confidence score. Estimates are not facts — label them as estimates.
Data Source Hierarchy
| Tier | Source Type | Confidence Range | Examples |
|---|---|---|---|
| 1 | Official public data | 0.85-0.95 | Government statistics, public company filings, industry association reports |
| 2 | Authoritative media | 0.70-0.85 | Major financial media, industry analysis reports |
| 3 | Web search results | 0.50-0.70 | Blogs, forums, review sites |
| 4 | Model inference/estimates | 0.20-0.50 | Extrapolations from known data, analogical estimates |
| 5 | Training data memory | 0.10-0.30 | Data from model memory (may be outdated) |
Search Strategy
This is the opening of the README. Read the full README on GitHub.