@d53974h1

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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