Staking Security Assessment

THE SECURITY MODEL. In proof of stake, the right to propose and attest to blocks is weighted by stake. The economic argument is that an attack requires acquiring a large fraction of staked value. Whether that stake is also DESTROYED on misbehaviour depends entirely on the protocol: some proof-of-stake systems penalise specified misbehaviour through partial or correlated slashing, and some do not. SOLANA CURRENTLY HAS NO IN-PROTOCOL SLASHING, so its deterrence cannot be described as automatic stake destruction - a point worth knowing, since 'stake at risk' is repeated as though it were universal. Ethereum, by contrast, does slash.

THE THRESHOLDS ARE PROTOCOL-SPECIFIC TOO. Byzantine-fault-tolerant consensus is where the fractions come from, and under Solana's current TowerBFT more than ONE THIRD of active stake can prevent the two-thirds supermajority needed to finalise, so a third is the liveness-disruption threshold and two thirds is the finality threshold. A majority of stake confers dominant influence over leader slots and fork choice - not exclusive control of block production, which is a common overstatement. Learn the fractions with their protocol attached rather than as constants.

STAKING RATIO is staked supply over total supply. A higher ratio raises the cost of acquiring an attacking share, with a genuine trade-off worth teaching: stake is capital committed and often subject to an unbonding delay, so a high ratio also means less liquid supply, and a chain can push the ratio up simply by paying a higher issuance yield, which dilutes non-stakers. A high ratio bought with inflation is not the same as one earned.

THE NAKAMOTO COEFFICIENT (Srinivasan and Lee, 2017) is defined as the minimum number of independent ENTITIES that would have to collude to compromise a subsystem. It is a far better decentralisation measure than a validator count because it measures the TAIL rather than the total. Note carefully what is computed here: the fewest validator VOTE ACCOUNTS whose combined stake crosses the one-third threshold. Because it does not cluster accounts by operator, and one operator can run many validators, the figure is an UPPER BOUND on the true entity-level coefficient - it can only overstate decentralisation, never understate it.

And even a correct entity-level coefficient measures stake concentration in one subsystem only. It says nothing about client diversity, hosting concentration, key control, governance, upgrade authority or data availability, each of which has been the actual point of failure in real incidents.

A CONSTRUCT ISSUE IN THIS IMPLEMENTATION. The 0-100 security score is scaled from the STAKING RATIO alone, while validator count and the Nakamoto coefficient are reported beside it rather than incorporated. Read those two directly and treat the score as a staking-ratio restatement.