Interprets latency distributions from k6 load tests beyond the p95/p99 gate: reads percentile summaries and JSON exports to identify tail shape, computes the tail ratio (p99/p50) as a distribution-spread signal, detects bimodal distributions, explains coordinated omission and why naive p99 values are optimistic under sustained load, and distinguishes request-rate from concurrency models. Use when a k6 threshold passes but the system still feels slow, when p99 is suspiciously low during ramp-up, or when the team needs to explain why tail latency is high rather than just observing that it is.