Evidence
FAND results, navigated by where (geography) and what (balance-sheet component).
Strawman section index. Real content per the developer brief §8 will replace this prose; the five sub-page split (global / comparison / countries / us-states / us-counties) is the IA decision under review.
Empirical results
This is the lead section of the site by design. Per the strategic brief: “Lead with this, not theory.”
OconEco’s FAND project has computed a complete national balance sheet — CW = PA + NC + RW; RW = HR + SI — for 200+ countries from 1950–2025, plus US state-level and county-level extensions. The identity is verified to $0.000000. The pipeline is reproducible. The numbers are here.
Five drill-downs
- Global Leaves crosstab — the flagship: 7,101 administrative units across 237 countries, the 38× measurement asymmetry finding. 10-minute narrated video.
- FAND vs CWoN comparison — Appendix E. Why our approach differs from the Changing Wealth of Nations methodology John pioneered at the World Bank in MEP 1995, and why it matters.
- Country samplers — India, China, USA balance-sheet snapshots. Three at launch; the build pipeline supports any country.
- US states — state-level CW choropleth; click a state for its balance sheet.
- US counties — 3,258 counties; the commuter-flow story that dominates at the county scale.
What changes as you zoom in
The balance sheet equation is the same at every spatial level — but cross-border means something completely different depending on scale:
- Country level: International. Foreign assets vs foreign debt. Well-measured (IMF data).
- State level: International + interstate. Where people live vs where they work across state lines — interstate flows are 13–399× larger than international for commuter-belt states.
- County level: Commuter flows dominate. A bedroom suburb vs its downtown neighbor. Income earned in Manhattan, spent in Bergen County, NJ. This is the economic reality most Americans actually live.
This is one of the most interesting things the site exists to convey.