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Nakamoto Coefficient Meaning

Sep 19, 2024 | Updated Sep 19, 2024
The Nakamoto Coefficient measures how decentralized a blockchain is by counting the minimum number of independent entities (nodes) required to disrupt or take control of the network.

What Is the Nakamoto Coefficient?

The Nakamoto Coefficient is a measure of decentralization in blockchain networks. The term was coined by former Coinbase CTO Balaji Srinivasan after the anonymous founder of Bitcoin – Satoshi Nakamoto. 

It refers to the minimum number of independent entities (such as validators or node operators) that need to work together to disrupt the network by taking over its control or stopping block production.

The higher the Nakamoto Coefficient, the more decentralized and resilient a blockchain network is against such threats.

How Is the Nakamoto Coefficient Used?

The Nakamoto Coefficient helps you understand how decentralized a blockchain is by revealing how many entities control enough of the network to potentially disrupt it.

For example, in a network with a Nakamoto Coefficient of 10, 10 different validators must collaborate to disrupt the blockchain. A higher coefficient, such as 100, means the network is more secure and decentralized. Conversely, a low Nakamoto Coefficient indicates centralization, making the network more vulnerable to attacks or censorship.

For instance, Bitcoin and Ethereum generally have higher coefficients, indicating greater decentralization, while smaller networks may have lower scores, making them more prone to disruptions. 

Investors rely on it to gauge the risk of a network—blockchains with low coefficients are more centralized and vulnerable to disruptions, which can impact long-term reliability. Stakers use this metric to choose validators, often selecting smaller ones to contribute to the network’s decentralization. 

Developers analyze the coefficient to identify points of centralization, making adjustments to governance or consensus rules when too few entities hold too much control. Blockchain projects also use it as a health check, tracking changes over time to spot trends toward centralization. If the coefficient drops, the network may need corrective actions to redistribute power among participants. 

Lastly, it informs governance adjustments, where networks may alter rewards or incentives to maintain or improve decentralization. Overall, the Nakamoto Coefficient plays a pivotal role in guiding decisions about network security, participation, and governance.indicates a network where control is more evenly distributed, giving users confidence that their assets are more secure.

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