Standalone analysis over RESULTS-campaign.md.data (safe: independent of the live
runner). Adds the normalised efficiency ratios per run with min/median/max per
variant, alongside the token distributions, commit/LOC medians, correlations,
and full raw table. Run: python3 analyze.py (regenerates RESULTS-campaign.md).
Orig baseline (5 runs): tokens/LOC ~25k–34k, tokens/sec ~11.3k–14.0k.
