Five-repetition reports showed stable medians alongside occasional system outliers, but the tables exposed only p50/p95 values. That made it difficult to distinguish a typical configuration cost from observed host variability and could invite unsupported confidence claims.
Add query, incremental, and full-index observation counts plus min-max ranges to summarize-benchmark-results.py. The generated section explicitly states that grouped sequential campaigns avoid concurrent contention but do not support paired or randomized effect-size confidence intervals; medians and ratios remain descriptive.
tests/test_summarize_benchmark_results.py verifies exact counts and [min, max] rendering without confidence language. Verified with uv run python -m unittest tests.test_benchmark_campaign tests.test_benchmark_incremental_speed tests.test_summarize_benchmark_results (93 passed). The ignored 240-input composition report and SHA-256 sidecar were regenerated but not staged.
Signed-off-by: Andrew Hundt <ATHundt@gmail.com>
Andrew Hundt
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