@d53974h1

Are false positives clustered or independent over time? False positives are highly likely to be clustered in time, not independent. The primary drivers of FPs are systemic issues that affect multiple operators simultaneously. Examples include: a bug in a specific version of a widely-used AVS client software, a major infrastructure outage (like a cloud provider failure), or a significant event on an underlying blockchain (like a deep reorg). These events do not strike operators at random; they create temporal clusters where the FP rate spikes dramatically. This correlation is a crucial risk management consideration. An operator cannot comfort themselves with the idea that FPs are rare and independent; they must be prepared for the possibility of a "slashing storm" where a systemic failure leads to a cascade of slashing events across the network within a short time window.

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