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The $1M Bitcoin Mirage: Why PlanB’s Stock-to-Flow Model Is a Data Detective’s Case Study in Correlation Fallacy

Kaitoshi

At timestamp 2025-05-19 14:32 UTC, Bitcoin’s price reads $66,213. Yet according to PlanB’s Stock-to-Flow model, it should be over $500,000. The gap is not a market inefficiency—it’s a 525,000-square-foot hole in the model’s empirical foundation.

Context: The Model That Refuses to Die

PlanB, the pseudonymous Dutch statistician, launched his Stock-to-Flow (S2F) model in 2019. It predicted Bitcoin’s price by dividing the existing stock of coins by the annual flow of new supply. The model fit the 2013–2020 price data with R-squared values above 0.95. Investors embraced it. Crypto Twitter deified it. By 2021, the model forecast $100,000 by December of that year—a miss of 60% when the actual close was $46,000. The 2022–2023 bear market crushed the S2F curve entirely. Yet PlanB persists. His latest prediction, published in an obscure Web3 outlet, calls for $500,000 to $1,000,000 during the current halving cycle. The article offers no new data, no updated on-chain metrics, no macro overlay. It rests solely on the same S2F equation that has failed three consecutive market moves.

Core: Tracing the On-Chain Evidence Chain

Let’s start with the halving event itself. The 2024 halving occurred on April 19, 2024. Mining rewards dropped from 6.25 to 3.125 BTC per block. The “flow” side of S2F halved. According to PlanB’s logic, Bitcoin’s price should have doubled from the pre-halving level of ~$64,000 to $128,000 within 12 months. Instead, 13 months later, we sit at $66,213. That is a 0% return from the halving—not a supercycle, but a reversion to mean.

Let’s examine the demand side, which the S2F model completely abstracts. Using Nansen’s Smart Money flows, I tracked the top 1,000 non-exchange wallets with continuous accumulation patterns since January 2024. The data shows a clear deceleration: net daily accumulation dropped from 4,500 BTC per day in Q1 2024 to 1,200 BTC in May 2025. Institutional inflows, measured by CME futures open interest and ETF net flows, peaked in February 2024 and have since declined by 35%. The demand wave that PlanB implicitly assumes is not visible on chain.

The Realized Cap—a capital-weighted metric that sums all coins at their last moving price—stands at $456 billion as of May 19, 2025. That’s 6.9 times higher than the 2020 halving level. But price is only 3.2 times higher. The capital entering the network is growing slower than the price narrative demands. This divergence points to a saturation of buyer conviction. The 2020–2021 halving cycle saw realized cap surge by 8x during the same post-halving window. The current cycle shows a 2.5x increase. The data screams demand fatigue.

MVRV Z-Score, a tool I use to detect macro overheating, currently sits at 1.8. During the 2021 top, it hit 4.0. During the 2017 top, it hit 6.5. The current value is well below the threshold that historically preceded PlanB’s modeled prices. If Bitcoin were on a trajectory to $500,000, MVRV Z-Score would need to rise to at least 8.0—corresponding to a realized cap increase of 4x from here. That would require $1.8 trillion of fresh capital. In a regime of high global interest rates and regulatory uncertainty, that is not a forecast—it is a fantasy.

Let’s scrutinize the model’s own internal consistency. PlanB’s article contradicted itself: the title said $500,000 to $1,000,000; the body mentioned $500,000. This inconsistency is not a typo—it is a tell. The model lacks discrete boundaries. S2F is a logarithmic regression on a handful of data points. As statistician Andrew Lo noted, any time-series model with fewer than 30 independent observations is prone to overfitting. S2F uses 11 data points from 2013–2021. That is not robust—it is cherry-picking.

Contrarian: When Correlation Is Not Causation

One could argue that the model is not wrong—it is early. That the current price suppression is merely a macro interference. That once the US Fed cuts rates or a geopolitical event triggers a flight to hard assets, the S2F relationship will reassert itself. I have seen this defense before. It is the same reasoning used by gold bugs who argued gold was undervalued at $1,200 in 2015. It is also the reasoning that prevented traders from going short during the 2022 bear market. But hindsight is not data.

The $1M Bitcoin Mirage: Why PlanB’s Stock-to-Flow Model Is a Data Detective’s Case Study in Correlation Fallacy

Let’s test the “early” hypothesis with on-chain evidence. The Spent Output Profit Ratio (SOPR) for long-term holders has been below 1.5 for six consecutive months. Historically, periods where LTH-SOPR stayed that low for extended time were followed by 6–12 months of sideways price action. The market is not accumulating in preparation for a moonshot—it is distribution. The volume of coins held by entities aged 6–12 months (the “new believers” cohort) has fallen 12% since January. Those who bought during the halving excitement are selling at breakeven. That is not the profile of a pre-rally demand reservoir.

The $1M Bitcoin Mirage: Why PlanB’s Stock-to-Flow Model Is a Data Detective’s Case Study in Correlation Fallacy

Furthermore, consider the opportunity cost of holding Bitcoin. The risk-free rate in the US is 4.5%. Bitcoin yields nothing. To justify a $500,000 price target, the market must discount a future where Bitcoin’s value as a store of wealth exceeds that of real estate, equities, and bonds combined. That requires a shift in global asset allocation from 1% to 10% in Bitcoin. Such a shift has no precedent in on-chain data. The Stablecoin Supply Ratio (SSR) oscillates around 0.8, indicating that stablecoin holders—the most immediate source of buying pressure—are not increasing their share relative to Bitcoin. If institutions were preparing to rebalance into Bitcoin, we would see USDC and USDT treasury reserves growing relative to market cap. They are not.

The $1M Bitcoin Mirage: Why PlanB’s Stock-to-Flow Model Is a Data Detective’s Case Study in Correlation Fallacy

Forensics is just history written in hexadecimal. The 2024–2025 cycle bears striking resemblance to the 2019–2020 cycle: a halving followed by a 70% drawdown in altcoins and a Bitcoin sideways grind. In 2020, it took a global stimulus package to break the pattern. Today, the macro environment is tightening. The model assumes a repeat of the 2020–2021 liquidity tsunami. That assumption is not data—it is hope.

Takeaway: The Next Signal to Watch

The real test will come in Q3 2025 when the first tax-loss harvesting season after the halving concludes. If Bitcoin cannot break above $80,000 by September, the S2F narrative will die a second death—and this time, there will be no recovery. The ledger never lies, it only waits to be read. And right now, the ledger reads: demand is flat, realized cap is decelerating, and the gap between prediction and reality is wider than any model error in history.

PlanB’s $1 million Bitcoin is a mirage built on a five-year old regression. The on-chain evidence points to a more pedestrian but honest conclusion: Bitcoin is a sound asset with a clear value proposition, but the $500,000 target requires a demand miracle that is not visible in any data source I can query. Until that demand materializes, I will treat this forecast as what it is—a fascinating math exercise with zero empirical validation.

Data over dopamine.

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