diff --git a/pymc/distributions/discrete.py b/pymc/distributions/discrete.py
index 2215621a37..5af1bc3ca4 100644
--- a/pymc/distributions/discrete.py
+++ b/pymc/distributions/discrete.py
@@ -1268,8 +1268,7 @@ class Categorical(Discrete):
     Parameters
     ----------
     p : array of floats
-        p > 0 and the elements of p must sum to 1. They will be automatically
-        rescaled otherwise.
+        p > 0 and the elements of p must sum to 1.
     logit_p : float
         Alternative log odds for the probability of success.
     """
diff --git a/pymc/distributions/multivariate.py b/pymc/distributions/multivariate.py
index 32b73139b4..cf4ed753bd 100644
--- a/pymc/distributions/multivariate.py
+++ b/pymc/distributions/multivariate.py
@@ -516,7 +516,7 @@ class Multinomial(Discrete):
     p : tensor_like of float
         Probability of each one of the different outcomes (0 <= p <= 1). The number of
         categories is given by the length of the last axis. Elements are expected to sum
-        to 1 along the last axis, and they will be automatically rescaled otherwise.
+        to 1 along the last axis.
     """
     rv_op = multinomial