Evidence
FAND results, navigated by where (geography) and what (balance-sheet component). Every dollar figure carries an honesty badge.
We rebuilt the whole ledger — and it runs. Not a manifesto about what national accounts should measure: a working balance sheet for 200+ of the 237 economies and 3,000-plus US counties, one identity — CW = PA + NC + RW; RW = HR + SI — across 75 years, with every number carrying its own honesty label. The pipeline is reproducible. The numbers are here.
- A complete national balance sheet for 200+ of the 237 economies, 1950–2025. Production.
- 7,360 administrative roots across 237 countries — 97.6% of world population — of which 7,101 carry enough data to be placed in the crosstab, where a 38× measurement asymmetry shows up. Experimental.
- A county-level finding: the opportunity to participate tracks hidden wealth better than participation itself. Experimental.
The anchor exhibit — the United States, whole
Start with a country you know. Here is the United States as a balance sheet instead of an income statement.
| Per capita | What it is | |
|---|---|---|
| Produced Assets (PA) | $244,619 | roads, plant, housing, machines |
| Natural Capital (NC) | $14,258 | severable resources: fuels, minerals, timber, farmland |
| Cross-border claim-rights (CBA) | $62,768 | foreign assets US residents hold |
| Human Resources (HR) | $410,547 | the capitalized productive value of people |
| Substantive Rights (SR) | $750,927 | the "free" trust infrastructure — the largest single line |
| (less) cross-border duties + deferred maintenance | −$89,174 | what the nation owes abroad and to its own upkeep |
| Net Worth (NW) | $1,384,850 | the bottom line |
Population 347 million. In 1955 the same figure was $39,803. Badge: Production. USA_Decadal, gen. 2026-05-10; identity closes to its check field, sub-1% disclosed decadal-rounding residual.
The one thing to notice: the biggest number on the American balance sheet is not the built economy and not even its people’s earning power — it is Substantive Rights, the trust infrastructure that no conventional account books at all. GDP cannot see it. This ledger starts there. Open the live US ledger →
The readings
The anchor shows the ledger populated. Two of these essays show what it lets you see that GDP cannot — one at the top of the spine, one at the bottom; the third steps back to the method.
- Take-Off in Convergence Terms — Production. Put 240 countries on one axis against the US frontier, and the Bretton-Woods record reads very differently: of ~46 countries that peaked under the fixed-rate system, 42 have fallen back below 30% of the US frontier — a 91% non-convergence rate.
- Capacity, Not Uptake — Experimental. Take the trust-infrastructure residual to the US county and it splits cleanly: the opportunity to participate moves with hidden wealth; realized participation moves against it — exactly what the theory predicts if a substantive right is a liberty.
A third, signed essay steps back from the numbers to the method itself: The First Agentic Navigator — a personal note on what changes for policy analysis, audit, and replication once the marginal cost of reading everything drops to nearly zero.
The Global Roots annex
Experimental. The balance sheet is not only national. The same identity executes downward through a single Where hierarchy — 7,360 administrative roots across 237 countries, covering 97.6% of world population — rendered as a collapsible tree, not a map (subnational boundary shapefiles don’t reliably exist outside the OECD/EU, so FAND keys on units, not borders). Placing a root in the crosstab needs both a population density and a per-capita income, which 7,101 of the 7,360 have; that grid is where the project’s founding measurement fact becomes legible — a 38-fold asymmetry between how well-measured the rich-and-sparse world is versus the poor-and-dense. Open the Where-Tree explorer →
This section never mixes a Production national number and a Prototype block-group number in the same frame without the badge transition being the explicit subject.
Drill-downs
- Global Leaves crosstab — the flagship: the 7,101 units (of 7,360) that carry both a population density and a per-capita income, placed in one 5×5 grid — and the 38× measurement-asymmetry finding. 10-minute narrated video.
- FAND vs CWoN comparison — Appendix E: how our approach differs from the Changing Wealth of Nations methodology John pioneered at the World Bank in MEP 1995, and why it matters.
More drill-downs are restored here as they ship.
What changes as you zoom in
The balance-sheet equation is the same at every spatial level — but cross-border means something different at each scale:
- TL1 (e.g., the US): national border only; foreign assets and liabilities, well measured (IMF data).
- TL2 (e.g., Florida): national plus interstate — where people live vs. where they work across state lines; interstate flows run 13–399× the international ones.
- TL3 (e.g., Duval-Jax): commuter flows dominate — a bedroom suburb vs. its downtown employment center; income earned in Manhattan, spent in Bergen County. This is the economic reality most Americans actually live.
This is one of the most interesting things the site exists to convey.