diff --git a/ann_benchmarks/distance.py b/ann_benchmarks/distance.py
index 9228338..5f5aa07 100644
--- a/ann_benchmarks/distance.py
+++ b/ann_benchmarks/distance.py
@@ -4,7 +4,6 @@ from scipy.spatial.distance import pdist as scipy_pdist
 def pdist(a, b, metric):
     return scipy_pdist([a, b], metric=metric)[0]
 
-# Need own implementation of jaccard because numpy's implementation is different
 def jaccard(a, b):
     if len(a) == 0 or len(b) == 0:
         return 0
@@ -31,7 +30,7 @@ def jaccard(a, b):
 #         'distance_valid' : lambda a: True
 #         }
 # }
-# Chunjiang Modified 20190216
+
 metrics = {
     'hamming': {
         'distance' : lambda a, b: pdist(a, b, "hamming"),
@@ -40,7 +39,7 @@ metrics = {
     # return 1 - jaccard similarity, because smaller distances are better.
     'jaccard': {
         'distance' : lambda a, b:  pdist(a, b, "jaccard"),
-        'distance_valid' : lambda a: a < 1 - 1e-5
+        'distance_valid' : lambda a: a < 1 + 1e-5
         },
     'euclidean': {
         'distance' : lambda a, b: pdist(a, b, "euclidean"),