diff --git a/CLAUDE.md b/CLAUDE.md
index 0e11396..a094364 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -268,12 +268,20 @@ into one, and travel was the only thing visible in the union.
 The fix is to split on `trips.start_date` and use the axis that carries
 information in each phase:
 
-- **Booked ahead** (before `start_date`, $22,050.51 / 57% on Europe) — everything
-  is a flight, a stay or a rail ticket, so category is a constant and **merchant**
-  is the axis: Agoda $4,490.52, Air India $3,454.32, Luxury Escapes $3,283.80.
-- **On the ground** (on/after `start_date`, $16,946.94) — travel falls to
-  $8,240.74 among dining $4,452.18, transport $2,937.70, entertainment $698.14,
-  groceries $589.22. **Category is finally worth charting.**
+- **Booked ahead** (before `start_date`, **$21,229.56 / 56%** on Europe, 30
+  bookings) — everything is a flight, a stay or a rail ticket, so category is a
+  constant and **merchant** is the axis: Agoda $4,491, Air India $3,454, Azwebin
+  $2,696, Luxury Escapes $2,463.
+- **On the ground** (on/after `start_date`, **$16,946.77**, 180 charges) — travel
+  falls to $8,241 among dining $4,452, transport $2,938, entertainment $698,
+  groceries $589, shopping $29. **Category is finally worth charting.**
+
+These are the **net** figures the page shows, and they are lower than a raw
+`SUM(amount)` by design: the phase queries apply `NET_SPEND_ROWS` / `SPEND_SIGNED`
+and `EXCLUDE_RECONCILED_SOURCE`, the same fragments as every other analytic. Raw
+sums give $22,050.51 committed and Luxury Escapes at $3,283.80 — the $820.95 gap
+is a partial refund on that booking. Do not "fix" the difference; a partly
+refunded booking must not read at full price.
 
 `getTripAnalytics` returns `phases`, `committed_merchants`, `on_ground_categories`
 and `on_ground_daily`. A trip with a NULL `start_date` has no knowable departure,