Fair pushback @moneyordebt, and I appreciate it. I agree on the mathematics. A power law is a power law, and a straight line on a log-log plot is its mathematical representation. Original framing was too compressed. The challenge was the leap from empirical price relationship → future price certainty, not the mathematical legitimacy of power laws. As someone follows your work, the more interesting proposition is actually the mechanism: adoption dynamics → network effects → value → price. If the observed price exponent emerges from underlying adoption and network-value scaling, then “price versus time” is an incomplete characterization. That makes the real research questions much more interesting: • How stable are the adoption and network-value exponents? • Do they remain robust across regimes, measurement choices and out-of-sample periods? • What happens as adoption growth changes or approaches saturation? • Where do liquidity, institutional demand, speculation and macro regimes enter? • Most importantly, what observations would falsify the mechanism? I see these as complementary rather than opposing perspectives. The power law could provide a long-term structural prior, while flows, liquidity, on-chain behavior and market structure continuously update the probability distribution around it. So perhaps the productive question isn't “power law or no power law?” It's: How much of Bitcoin's price formation can network scaling explain, and where does the model need to yield to observable changes in demand and regime? That's a much more interesting collective-wisdom problem. Appreciate the challenge. #Bitcoin #MetcalfsLaw #NetworkEffects #BitcoinResearch #QuantitativeFinance @CorySwan