Someone is about to tell you that Solana is six times more decentralized than Bitcoin. He will be holding a chart from the September 2025 joint report by ARK Invest and Glassnode, and he will be half right and fully dangerous.
The report is not a whitepaper and not a press release. It is a live-dashboard data snapshot, built from mainnet data, measuring something the authors call consensus coordination units. The surface-level result: Bitcoin's Nakamoto coefficient sits at 3. Ethereum's sits at 3. Solana's sits at 19. In a single glance, the fastest chain in the room looks like the most distributed one too.
Read the footnotes, though, and you will find the more important admission: a single number cannot capture who actually controls a network. Software bugs, data-center concentration, client diversity, exit speed — none of those appear in the famous 3-and-19 comparison. In my copy-trading community, we learned that lesson the hard way during the last bear cycle. Charts told us one story. The hands signing blocks told us another. So before the marketing departments start quoting this metric, let's look at what is under it.
What the coefficient is actually measuring
The Nakamoto coefficient — a term coined by Balaji Srinivasan and popularized in protocol governance circles — asks a brutal question: how many independent entities must coordinate to break the network? Not steal one wallet. Not slow transactions. Break the chain's ability to reach finality, to resist censorship, or to reorganize history in their favor.
What makes the ARK-Glassnode version different is the phrase 'protocol-related control threshold.' Instead of counting raw nodes or validators, the authors weight each entity by how much control it actually carries. Bitcoin is weighted by mining-pool hash rate. Ethereum and Solana are weighted by delegated stake. This is more protocol-relevant than counting machines, but it also means the three numbers are not apples-to-apples. They are not even the same fruit.
A Bitcoin mining pool is a coordination service for hashers who can exit in minutes. An Ethereum staking provider controls delegated ether that is locked, bonded, and slow to move. A Solana validator is simultaneously a software runner, a data-center tenant, and a governance voter. The coefficient treats all three as countable units while ignoring the physical layer underneath. That is the gap I want to walk into.
Reading the snapshot, network by network
Start with Bitcoin. In the measured window, the top three mining pools — Foundry USA, AntPool, and F2Pool — account for roughly 59% of block templates. That means if those three entities decided to cooperate, they could dictate transaction ordering, censor addresses, and potentially stall progress toward finality. It is the same story Ethereum holders have heard for years: the threshold settles at 3.
Ethereum's number comes from the other side of the market. Delegated staking means everyday holders park their ether with a handful of large operators, and when the largest staking providers cross a combined coordination threshold, you reach the same integer: 3. Lido remains the single largest delegation pool, which is why Ethereum's threshold can be hit without convincing a single solo home-staker to do anything. Your small validator has integrity. The system's coordination surface does not run through your small validator.
Then there is Solana. Under this framework, reaching a supermajority of stake requires coordinating roughly 19 validator entities. That is genuinely better than 3. I will not pretend otherwise. Solana's stake is distributed across more independent decision-makers than Bitcoin's hash rate or Ethereum's delegated ether. In a pure collusion-resistance contest, Solana wins this snapshot. The report's numbers support that conclusion.
But here is what the coefficient does not show: those 19 entities are not physically independent. The same data that gives Solana a 19 also shows that TeraSwitch and Latitude host roughly 45.7% of staked SOL between them. A Nakamoto coefficient counts how many validators must collude. It does not count how many buildings you need to switch off.
The mismatch nobody is quoting
This is where the report's own framing turns against its headline. If an attacker wants to disrupt Solana, they can either corrupt 19 stake-weighted validators or simply take down two data centers. The coefficient treats the first scenario as the meaningful risk. The physical topology suggests the second scenario is easier, cheaper, and far more likely. I trust the hands, not just the charts.
The same mismatch cuts in the other direction for Bitcoin. Mining pools look centralized on paper, but their hash rate is spread across continents and energy markets, and PoW miners can redirect power almost as fast as a market moves. Foundry can lose a third of its hashers overnight when a cheaper energy region opens. Delegated stake does not exit that quickly. Validators cannot simply relocate their bonded SOL or ETH to escape a failing operator without waiting through unstaking periods. So Bitcoin's 3 is a slower-burning risk, and Solana's 19 may be closer to a structural dependency than a security badge.
That is the part retail investors miss when they screenshot the headline. They see a ranking. I see a threat model that changes meaning depending on which chain you are looking at. The report is honest about this — it ties different weight definitions to different underlying risks. The problem is that the honest version does not fit neatly into a tweet.
The second exposure: software
The deeper the analysts dig into the September snapshot, the more they keep returning to a second massive exposure surface: the client software itself. A chain can have a Nakamoto coefficient of 100 and still halt overnight if the majority of its validators run the same buggy client. That is not a hypothetical in this industry. We have seen network halts triggered by single software faults, and the report flags software bugs as one of the highest-risk scenarios across all three chains.
Think about what the 19 number means in that context. Solana's validator count looks healthier than Ethereum's or Bitcoin's, but if the dominant validator client shares a single critical flaw, the threshold drops from 19 to 1: the bug becomes the controlling entity. No consensus software, no block production. No amount of stake diversity saves a network whose nodes all execute the same fatal instruction.
Based on my audit experience in the 2022 post-mortem groups I ran after the Terra collapse, I learned to separate two questions: who can coordinate to control the chain, and who can accidentally break the chain? The Nakamoto coefficient answers only the first question. The second question is answered by client diversity, code review quality, and the speed at which a community can deploy a fix. When the bear market strips away the speculative narrative, this second question decides whether your assets survive.
What the report does not tell you
Let me be blunt about what this report does and does not do. It does not audit code. It does not examine team concentration. It does not cover tokenomics, inflationary pressure, or whether staking rewards are sustainable. The token economy side of this conversation is silent. That is fine for a decentralization deep-dive, but it becomes a problem when investors use a consensus metric as a proxy for overall protocol health.
A chain can have a high Nakamoto coefficient and terrible value capture. A chain can have excellent client diversity and a governance system that allocates resources to a single insider group. The coefficient measures one narrow corridor of risk, and the report's own conclusion warns readers not to treat it as a complete exposure map. You should combine it with infrastructure dependency, software concentration, and exit speed before you make any allocation decision.
There is also a hidden narrative risk here. Institutional allocators are starting to use decentralization scores in their due diligence decks. That means a number like 19 can become a marketing artifact before the data even goes cold. If Solana is now 'officially the most decentralized L1' in some allocator's spreadsheet, the infrastructure concentration sitting underneath it becomes an afterthought. That is exactly backwards. The coefficient is a tool, not a conclusion.
Whose narrative wins?
The contrarian angle is uncomfortable for both camps. Bitcoin maximalists will hate seeing their network ranked equal to Ethereum at 3. Solana proponents will love seeing 19 until they realize the number does not protect them from a data-center outage or a client bug. And Ethereum holders will be stuck in the middle, holding the most mature software stack with a delegation concentration problem that keeps the coefficient stubbornly low.
Retail traders will read this report as a victory lap for Solana or an attack on Bitcoin. Smart money will read it as a reminder that decentralization is not a single integer. The people who control the physical infrastructure, the people who write the software, and the people who can exit fastest still hold more power than any validator count suggests. Community first, coins second. Always.
In my own copy-trading dashboard, I started tracking counterparty concentration before the market cared about Nakamoto coefficients. It saved my community from more than one near-miss. The same instinct applies here: when a metric becomes popular, ask which risks it hides, not just which risks it reveals.
What to watch next
The honest takeaway is not 'Solana good, Bitcoin bad,' and it is not the reverse. The honest takeaway is that the industry needs a standardized framework for measuring protocol-related control thresholds — and this report is a meaningful step toward that — but the framework must be applied across L1 and L2 networks alike, with weightings that reflect each chain's actual threat model.
Over the next quarter, watch where this metric gets quoted. If you see a wallet advertisement citing a Nakamoto coefficient of 19 or a thesis claiming Bitcoin is now too centralized to matter, you are looking at narrative extraction, not analysis. The real question for every asset in your portfolio is the one the report cannot answer for you: can this network survive a single cloud outage, a single client bug, or a single moment of panic? If the answer is no, no coefficient will save your position.
Follow the people, follow the profit. And when the people are concentrated in two data centers, the profit will follow them out the door.