diff --git a/explorer.py b/explorer.py
index a8f484b..01f0dbf 100644
--- a/explorer.py
+++ b/explorer.py
@@ -1585,22 +1585,14 @@ def build_compass_tab(db_path: str, window_size: str) -> None:
         xaxis={"range": [-1, 1]},
         yaxis={"range": [-0.6, 0.6]},
     )
-    _add_y_direction_annotations(fig)
-
     with col1:
         st.plotly_chart(fig, use_container_width=True)
         _x_interp = axis_def.get("x_interpretation", {}).get(window_idx, "")
-        _y_interp = axis_def.get("y_interpretation", {}).get(window_idx, "")
         if (
             _x_interp
             and axis_def.get("x_quality", {}).get(window_idx, 1.0) < _THRESHOLD
         ):
             st.caption(_x_interp)
-        if (
-            _y_interp
-            and axis_def.get("y_quality", {}).get(window_idx, 1.0) < _THRESHOLD
-        ):
-            st.caption(_y_interp)
 
         # Voting discipline analysis
         st.markdown("---")
@@ -2678,13 +2670,22 @@ def build_svd_components_tab(db_path: str) -> None:
             if score_list
         }
 
-    # Extract 1D scores for this component using aligned PCA scores
+    # Extract 1D scores for this component.
+    # Components 1 and 2 are literally the x and y axes of the compass (Procrustes-aligned
+    # PCA via compute_2d_axes). Use _get_aligned_party_coords so the numbers are identical
+    # to what the compass shows. Components 3-10 fall back to compute_nd_axes scores.
     party_1d_coords: dict = {}
-    aligned_all_scores = _get_aligned_party_scores(svd_window)
-    for party, all_scores in aligned_all_scores.items():
-        idx = comp_sel - 1  # 0-indexed
-        if idx < len(all_scores):
-            party_1d_coords[party] = (float(all_scores[idx]),)
+    if comp_sel in (1, 2):
+        coord_idx = 0 if comp_sel == 1 else 1
+        aligned_2d = _get_aligned_party_coords(svd_window)
+        for party, xy in aligned_2d.items():
+            party_1d_coords[party] = (float(xy[coord_idx]),)
+    else:
+        aligned_all_scores = _get_aligned_party_scores(svd_window)
+        for party, all_scores in aligned_all_scores.items():
+            idx = comp_sel - 1  # 0-indexed
+            if idx < len(all_scores):
+                party_1d_coords[party] = (float(all_scores[idx]),)
 
     # Auto-compute flip directions for ALL components 1-10 based on aligned party centroids.
     # Since we now use aligned PCA scores for all components, compute flip directly from