diff --git a/setup.py b/setup.py
index 10257a2..0dfa4b7 100644
--- a/setup.py
+++ b/setup.py
@@ -7,7 +7,7 @@
 
 setup(
     name="winning",
-    version="0.4.5",
+    version="0.4.6",
     description="Fast algorithm inferring relative ability from contest winning probabilities",
     long_description=README,
     long_description_content_type="text/markdown",
diff --git a/tests/test_lattice_from_samples.py b/tests/test_lattice_from_samples.py
index b02ea19..3499d6d 100644
--- a/tests/test_lattice_from_samples.py
+++ b/tests/test_lattice_from_samples.py
@@ -9,14 +9,20 @@ def test_samples():
     mu = mean_of_density(density=d,unit=unit)
 
 
+def test_die():
+    x = [ np.random.choice([-2.5,-1.5,-0.5,0, 0.5,1.5,2.5]) for _ in range(10000) ]
+    unit = 1
+    d = density_from_samples(x=x,L=5, unit=0.5)
+    mu = mean_of_density(density=d,unit=unit)
+    print(mu)
+    return d
+
+
 
 if __name__=='__main__':
-    x = np.random.randn(5000)
-    unit = 0.05
-    d = density_from_samples(x=x, L=501, unit=unit)
-    mu = mean_of_density(density=d, unit=unit)
-    print(mu / unit)
+    d = test_die()
     import matplotlib.pyplot as plt
+    print(d)
 
     plt.plot(d)
     plt.show()
\ No newline at end of file
diff --git a/winning/lattice.py b/winning/lattice.py
index 5bd9d29..e279e7e 100644
--- a/winning/lattice.py
+++ b/winning/lattice.py
@@ -57,7 +57,7 @@ def density_from_samples(x: [float], L: int, unit=1.0):
     mass = 0
     for lh in low_highs:
         for (lc, wght) in lh:
-            rel_loc = min(2 * L - 1, max(lc + L, 0))
+            rel_loc = min(2 * L, max(lc + L, 0))
             mass += wght
             density[rel_loc] += wght
     total_mass = sum(density)