Bitcoin leads Ethereum and Solana in decentralization, ARK finds

Bitcoin leads Ethereum and Solana in decentralization, ARK finds

DateSep 02, 2026

ARK Invest and Glassnode published a joint study on Sept. 1 that found three entities could cross the measured block-production thresholds for both Bitcoin and Ethereum, while Solana required 19.

Bitcoin’s three-pool threshold does not equal ownership

The report applied a 51% hash-rate threshold to Bitcoin. Foundry USA represented 27.27% of the measured hash rate, followed by AntPool at 17.06% and F2Pool at 16.96%. Together, the three pools exceeded 61%.

Ethereum crosses a lower threshold through pooled stake

ARK and Glassnode applied a 33% stake threshold to Ethereum because participants controlling one-third of staked ETH can disrupt finality. This differs from Bitcoin’s 51% majority threshold, so the two coefficients do not describe identical powers.

Solana’s 19-validator result comes with infrastructure costs

Solana recorded the highest Nakamoto coefficient for the selected block-production threshold. The report found that 19 validators were needed to control more than 33% of delegated stake.

Bitcoin leads infrastructure resilience and auditability

Bitcoin had the least expensive verification requirements in the study. The researchers estimated hardware for a full node at $289, compared with $730 for Ethereum and $21,478 for a Solana RPC node or validator-class configuration.

No single score settles blockchain decentralization

The report ultimately ranked Bitcoin as the most decentralized of the three networks overall, followed by Ethereum and Solana. Bitcoin led in ownership distribution, auditability and geographic resilience.

Ethereum generally occupied the middle across the six dimensions. Solana scored strongly for its critical resilience threshold and validator participation but ranked lower for ownership distribution, verification accessibility, and infrastructure diversity.

The methodology remains sensitive to how entities are grouped. Exchanges can hold tokens for many customers, mining pools aggregate independent miners, and staking protocols coordinate multiple operators. Wallet-size bands can likewise combine custodial assets belonging to thousands of users.

The comparison is therefore more useful as a map of separate concentration risks than as a definitive ranking. A network may distribute block production broadly while relying heavily on several hosting companies, software clients, or governance organizations.

Future editions could improve comparability by using synchronized data dates, separating pools from underlying resource owners and distinguishing censorship thresholds from thresholds capable of rewriting finalized history.