What Is Alternative Data? A Source-Aware Guide
A practical framework for evaluating nontraditional data without confusing collection volume, source events, and real-world impact.
FIELD GUIDES
Use data without fooling yourself
Original, source-aware guides for reading alternative data and verifying evidence-led claims.
START HERE
Practical research guides
Evergreen methods, updated when the public evidence standard changes.
How to Read AI Infrastructure Signals Without Overclaiming
A field guide to combining power, hiring, procurement, filings, research, and physical-risk evidence around AI infrastructure.
How to Verify a Data-Driven Claim in Seven Steps
A repeatable checklist for checking timestamps, source independence, exact evidence, revisions, arithmetic, and counterarguments.
EDITORIAL RULE
No forced conclusions
These guides explain repeatable methods. Dynamic claims remain private until exact evidence, coherent independent sources, reproducible arithmetic, and human approval all pass.