diff --git a/test/backend/test_schedule.py b/test/backend/test_schedule.py
index 1b7b3cf56f..5693018899 100644
--- a/test/backend/test_schedule.py
+++ b/test/backend/test_schedule.py
@@ -61,6 +61,14 @@ class TestSchedule(unittest.TestCase):
     # NOTE: the gradient flows twice
     np.testing.assert_allclose(out.numpy(), 2*np.ones((64,64)))
 
+  def test_pad_reduce_scope_collision(self):
+    b = Tensor.rand(4, 3).realize()
+    s1 = b.pad(((1, 1), (0, 0))).sum(axis=1)
+    s2 = b.pad(((1, 2), (0, 0))).shrink(((0, 6), (0, 3))).sum(axis=1)
+    out = s1 + s2
+    run_linear(*check_schedule(out, 1))
+    np.testing.assert_allclose(out.numpy(), 2*np.pad(b.numpy(), ((1, 1), (0, 0))).sum(axis=1), rtol=1e-6)
+
   def test_cumsum_parallel_reduce_fused(self):
     # two-stage cumsum + ops triggers parallel REDUCEs in one kernel that must share an END (same nesting context = should merge)
     step, num_steps = 513, 10
diff --git a/tinygrad/schedule/indexing.py b/tinygrad/schedule/indexing.py
index f5b3b486f0..dbcf5075b5 100644
--- a/tinygrad/schedule/indexing.py
+++ b/tinygrad/schedule/indexing.py
@@ -82,18 +82,16 @@ def create_bufferize_and_index_based_on_ranges(ctx:IndexingContext, x:UOp):
 
 def convert_pad_to_where_to_keep_behavior_local(ctx:IndexingContext, x:UOp):
   if x not in ctx.range_map: return None
+  if (bx:=create_bufferize_and_index_based_on_ranges(ctx, x)) is None: bx = x
   valid: UOp = UOp.const(dtypes.bool, True).uprod([r.get_valid() for r in ctx.range_map[x][0]])
-  ret = valid.where(x.src[0], UOp.const(x.dtype, 0))
-  ctx.range_map[ret] = ctx.range_map[x]
-  return ret
+  return valid.where(bx.src[0], UOp.const(x.dtype, 0))
 
 def convert_reduce_to_reduce_with_ranges(ctx:IndexingContext, x:UOp):
   if len(x.arg[1]) == 0: return None
+  if (bx:=create_bufferize_and_index_based_on_ranges(ctx, x)) is None: bx = x
   # input ranges
   new_ranges = [r for i,r in enumerate(ctx.range_map[x][0]) if i in x.arg[1]]
-  ret = UOp(Ops.REDUCE, x.dtype, src=(x.src[0],)+tuple(new_ranges), arg=(x.arg[0], ()))
-  ctx.range_map[ret] = ctx.range_map[x]
-  return ret
+  return UOp(Ops.REDUCE, x.dtype, src=(bx.src[0],)+tuple(new_ranges), arg=(x.arg[0], ()))
 
 def remove_movement_op_after_rangeify(ctx:IndexingContext, x:UOp):
   if x in ctx.range_map or x.src[0].op is Ops.INDEX: return x.src[0]