This is the most rigorous Bitcoin paper
I've read. I've been studying —
and testing — it for 20 days.
scientificbitcoininstitute.o…
Dr. Santostasi and Dr. Perrenod gave us the ruler —
and the imagination to see the oscillator.
Together: the most falsifiable framework
in crypto economics.
The Power Law isn't just a model —
it's the most precise ruler we have
for measuring where Bitcoin stands.
Most models describe the past.
The Power Law keeps passing tests
it was never designed for.
"Isn't β=5.69 just curve-fitting?"
Fair question.
So I ran a test the paper didn't.
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Materials & Methods
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Data: Daily closing price and non-zero balance
address count (BitcoinMagazinePro,
2010-08-17 to 2026-06-04, n=5,771).
Model: log₁₀P(t) = log₁₀A + β·log₁₀(t)
where t = days since Genesis Block (2009-01-03).
Out-of-sample design:
The power law was fitted exclusively on data
up to the freeze date, with zero observations
from the test period used in estimation.
Two freeze points were tested:
① Freeze at 2016-07-08 (2nd halving)
Training: n=2,153 | Test: n=3,617 (10 years)
② Freeze at 2020-05-10 (3rd halving)
Training: n=3,555 | Test: n=2,215 (6 years)
Residuals computed as:
ε = log₁₀(P_observed / P_predicted)
normalized by in-sample σ.
Mean residual and area integrals
(trapezoidal rule) applied to test period only.
The out-of-sample test was my idea.
Computation and analysis executed with
Claude Opus 4.8 (Anthropic).
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Froze the power law using data up to 2016 only (β=5.717).
Then measured the following 10 years it had never seen.
Result: mean residual −0.05σ. Effectively zero.
Frozen at 2020 instead → next 6 years, −0.13σ.
Same story.
The line drawn in 2016 ran straight through the next decade.
That's not fitting. That's forecasting.
The Power Law: powerful because it can be broken —
and hasn't been.
Knowing where we are won't tell us when things will happen — but it tells us exactly what to do now.
Buy Bitcoin Now.
@Giovann35084111 @moneyordebt @ScientificBTC
@saylor @natbrunell
#Bitcoin #PowerLaw