diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index b2adfae744db7..f454af5df9c90 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -3998,7 +3998,9 @@ def stat_func(self, axis=None, skipna=None, level=None,
             nanops.nanskew)
         cls.kurt = _make_stat_function(
             'kurt',
-            'Return unbiased kurtosis over requested axis\nNormalized by N-1',
+            'Return unbiased kurtosis over requested axis using Fisher''s '
+            'definition of\nkurtosis (kurtosis of normal == 0.0). Normalized '
+            'by N-1\n',
             nanops.nankurt)
         cls.kurtosis = cls.kurt
         cls.prod = _make_stat_function(
diff --git a/pandas/core/nanops.py b/pandas/core/nanops.py
index b3d8f2b67ffab..9587d0d4a9043 100644
--- a/pandas/core/nanops.py
+++ b/pandas/core/nanops.py
@@ -511,7 +511,6 @@ def nankurt(values, axis=None, skipna=True):
     D = (values ** 4).sum(axis) / count - A ** 4 - 6 * B * A * A - 4 * C * A
 
     B = _zero_out_fperr(B)
-    C = _zero_out_fperr(C)
     D = _zero_out_fperr(D)
 
     if not isinstance(B, np.ndarray):