MARK MOSSBITCOIN VALUATION LAB
03 / HISTORICAL FOUNDATION

What did the historical evidence actually show?

A usable history with explicit gaps, rather than a manufactured fifty-year dataset.

Three comparable-core anchors, not fifty complete annual observations

The retained five-category core includes money, gold, property, debt securities and equities. It excludes art and the later loan addition because matching historical stocks were not established. The historical money series is scaled to the working global anchor; it is not a direct worldwide census at each date.

Anchor yearFive-category coreMoney proxy, scaledCoverage
2015$451.78T$75.21TArt and added loans excluded
2020$684.63T$108.74TArt and added loans excluded
2025$896.97T$144.00TArt and added loans excluded

The 2025 historical-core total is therefore smaller than the corrected seven-category starting basket. We do not join those two totals into one uninterrupted historical growth chart.

[MODEL][MONEY][PROPERTY-OLD][SECURITIES]
Historical core and scaled money values at 2015, 2020 and 2025, indexed to 100 in 2015.
Matched-category, mixed-vintage core. Only the three retained anchors are shown; no annual observations are invented.

Measure elapsed time, not the number of rows

For comparable endpoints, annualized growth is (ending value / starting value)^(1 / elapsed years) − 1. A five-row lag is not necessarily five years. That distinction mattered when the early source files contained irregular intervals.

On the retained core, the 2015–2025 annualized rate is approximately 7.10%, compared with 6.71% for the scaled monetary proxy. The core’s earlier half-decade is approximately 8.67%; the later half-decade is approximately 5.55%. These describe selected endpoints and coverage, not a law that every asset’s growth must slow.

The historical observations are useful context. They do not by themselves establish causality, a stable money-to-asset response coefficient, or the next 25 years of growth.

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Relative shares matter as much as absolute growth

An asset can rise in dollar value while losing share of the basket. Conversely, an unusually strong valuation period can make its share rise rapidly. We therefore examine each asset relative to the chosen core, rather than simply extending its fastest recent absolute CAGR.

The selected property drift is approximately −0.60% a year in log relative weight; equities use approximately +1.06%. Gold, bonds, collectibles and the added loans use zero selected relative-weight drift before normalization. Zero here means a neutral allocation assumption where evidence was insufficient or disrupted, not zero dollar growth.

The gold result is deliberately not described as a 30- or 50-year full-basket finding. The longer retained comparison was only a partial financial basket. Bond history also crosses a coverage change, and the property and equity vintages have limitations. Those gaps are a reason to label assumptions, not to hide them.

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What this history does not tell us

It does not prove that faster M2 mechanically causes a particular Bitcoin return. It does not show a smooth, universal trend for every store of value. It does not measure the amount of each market that Bitcoin can take.

Nor does a larger dollar addition prove accelerating percentage growth. A larger base can produce a larger dollar increase at the same or even a lower annual rate.

The practical standard for this educational model is traceable evidence and correct mathematics. Sparse endpoints remain sparse. Interpolations and bridges stay labeled. A growth assumption does not become a fact just because the program reproduces it.

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