diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index fcdd2fada2d62..da21b181217e3 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -369,8 +369,7 @@ Missing
 ^^^^^^^
 
 - Calling :meth:`fillna` on an empty Series now correctly returns a shallow copied object. The behaviour is now consistent with :class:`Index`, :class:`DataFrame` and a non-empty :class:`Series` (:issue:`32543`).
-- Bug in :meth:`array.any` incorrectly returns ``<NA>`` for pandas.array of all ``False`` value, e.g. ``pd.array([False, False], dtype="boolean")``. Now it returns ``False`` (:issue:`33253`)
-- Bug in :meth:`array.all` incorrectly returns ``<NA>`` for pandas.array of all ``True`` value, e.g. ``pd.array([True, True], dtype="boolean")``. Now it returns ``True``(:issue:`33253`)
+- Bug in :meth:`~Series.any` and :meth:`~Series.all` incorrectly returning ``<NA>`` for all ``False`` or all ``True`` values using the nulllable boolean dtype and with ``skipna=False`` (:issue:`33253`)
 
 MultiIndex
 ^^^^^^^^^^
diff --git a/pandas/tests/arrays/boolean/test_reduction.py b/pandas/tests/arrays/boolean/test_reduction.py
index ad600ce022525..5dd5620162a8a 100644
--- a/pandas/tests/arrays/boolean/test_reduction.py
+++ b/pandas/tests/arrays/boolean/test_reduction.py
@@ -12,7 +12,6 @@ def data():
     )
 
 
-# .any(), .all() returns <NA> for [False, False], [True, True], GH-33253.
 @pytest.mark.parametrize(
     "values, exp_any, exp_all, exp_any_noskip, exp_all_noskip",
     [
@@ -20,6 +19,7 @@ def data():
         ([False, pd.NA], False, False, pd.NA, False),
         ([pd.NA], False, True, pd.NA, pd.NA),
         ([], False, True, False, True),
+        # GH-33253: all True / all False values buggy with skipna=False
         ([True, True], True, True, True, True),
         ([False, False], False, False, False, False),
     ],