diff --git a/src/proficiency_outcome.py b/src/proficiency_outcome.py
index 562deea..6304a64 100644
--- a/src/proficiency_outcome.py
+++ b/src/proficiency_outcome.py
@@ -72,10 +72,10 @@ def recompute_category(
     For each row:
     1. Re-compute benchmark via ``blend()`` on stored leaderboard / self_eval
        components. If neither component exists the row skips the conversion.
-2. Collect *all* rows with ``outcome_samples > 0`` and compute the
-        category-level *peer_rate* (sample-weighted pooled rate:
-        Σoutcome_samples × outcome_score / Σoutcome_samples) and
-        *peer_benchmark* (mean benchmark_score over the same set).
+    2. Collect *all* rows with ``outcome_samples > 0`` and compute the
+       category-level *peer_rate* (sample-weighted pooled rate:
+       Σoutcome_samples × outcome_score / Σoutcome_samples) and
+       *peer_benchmark* (mean benchmark_score over the same set).
     3. Call ``expected_success_rate`` per row with the benchmark, outcome, and
        peer statistics. Write the final ``blended_score`` and ``source``.
     """