diff --git a/algebird-core/src/main/scala/com/twitter/algebird/MomentsGroup.scala b/algebird-core/src/main/scala/com/twitter/algebird/MomentsGroup.scala
index a5f8a57b2..b0a31e523 100644
--- a/algebird-core/src/main/scala/com/twitter/algebird/MomentsGroup.scala
+++ b/algebird-core/src/main/scala/com/twitter/algebird/MomentsGroup.scala
@@ -208,21 +208,23 @@ class MomentsMonoid extends Monoid[Moments] with CommutativeMonoid[Moments] {
     if (countCombined == 0.0) zero
     else {
       val delta = b.mean - a.mean
+      val delta_n = delta / countCombined
+      val delta_n2 = delta_n * delta_n
+      val delta_n3 = delta_n2 * delta_n
+
       val meanCombined = Moments.getCombinedMeanDouble(a.m0D, a.mean, b.m0D, b.mean)
 
-      val m2 = a.m2 + b.m2 +
-        math.pow(delta, 2) * a.m0D * b.m0D / countCombined
+      val m2 = a.m2 + b.m2 + delta * delta_n * a.m0D * b.m0D
 
       val m3 = a.m3 + b.m3 +
-        math.pow(delta, 3) * a.m0D * b.m0D * (a.m0D - b.m0D) / math.pow(countCombined, 2) +
-        3 * delta * (a.m0D * b.m2 - b.m0D * a.m2) / countCombined
+        delta * delta_n2 * a.m0D * b.m0D * (a.m0D - b.m0D) +
+        3 * delta_n * (a.m0D * b.m2 - b.m0D * a.m2)
 
       val m4 = a.m4 + b.m4 +
-        math.pow(delta, 4) * a.m0D * b.m0D * (math.pow(a.m0D, 2) -
-          a.m0D * b.m0D + math.pow(b.m0D, 2)) / math.pow(countCombined, 3) +
-        6 * math.pow(delta, 2) * (math.pow(a.m0D, 2) * b.m2 +
-          math.pow(b.m0D, 2) * a.m2) / math.pow(countCombined, 2) +
-        4 * delta * (a.m0D * b.m3 - b.m0D * a.m3) / countCombined
+        delta * delta_n3 * a.m0D * b.m0D * (math.pow(a.m0D, 2) -
+          a.m0D * b.m0D + math.pow(b.m0D, 2)) +
+        6 * delta_n2 * (math.pow(a.m0D, 2) * b.m2 + math.pow(b.m0D, 2) * a.m2) +
+        4 * delta_n * (a.m0D * b.m3 - b.m0D * a.m3)
 
       new Moments(countCombined, meanCombined, m2, m3, m4)
     }
@@ -260,21 +262,23 @@ class MomentsMonoid extends Monoid[Moments] with CommutativeMonoid[Moments] {
           m4 = 0.0
         } else {
           val delta = b.mean - mean
+          val delta_n = delta / countCombined
+          val delta_n2 = delta_n * delta_n
+          val delta_n3 = delta_n2 * delta_n
+
           val meanCombined = Moments.getCombinedMeanDouble(count, mean, b.m0D, b.mean)
 
-          val m2Combined = m2 + b.m2 +
-            math.pow(delta, 2) * count * b.m0D / countCombined
+          val m2Combined = m2 + b.m2 + delta * delta_n * count * b.m0D
 
           val m3Combined = m3 + b.m3 +
-            math.pow(delta, 3) * count * b.m0D * (count - b.m0D) / math.pow(countCombined, 2) +
-            3 * delta * (count * b.m2 - b.m0D * m2) / countCombined
+            delta * delta_n2 * count * b.m0D * (count - b.m0D) +
+            3 * delta_n * (count * b.m2 - b.m0D * m2)
 
           val m4Combined = m4 + b.m4 +
-            math.pow(delta, 4) * count * b.m0D * (math.pow(count, 2) -
-              count * b.m0D + math.pow(b.m0D, 2)) / math.pow(countCombined, 3) +
-            6 * math.pow(delta, 2) * (math.pow(count, 2) * b.m2 +
-              math.pow(b.m0D, 2) * m2) / math.pow(countCombined, 2) +
-            4 * delta * (count * b.m3 - b.m0D * m3) / countCombined
+            delta * delta_n3 * count * b.m0D * (math.pow(count, 2) -
+              count * b.m0D + math.pow(b.m0D, 2)) +
+            6 * delta_n2 * (math.pow(count, 2) * b.m2 + math.pow(b.m0D, 2) * m2) +
+            4 * delta_n * (count * b.m3 - b.m0D * m3)
 
           mean = meanCombined
           m2 = m2Combined