diff --git a/packages/squiggle-lang/__tests__/ReducerInterface/ReducerInterface_Distribution_test.res b/packages/squiggle-lang/__tests__/ReducerInterface/ReducerInterface_Distribution_test.res
index 9e25f7e2..1b5f8bfd 100644
--- a/packages/squiggle-lang/__tests__/ReducerInterface/ReducerInterface_Distribution_test.res
+++ b/packages/squiggle-lang/__tests__/ReducerInterface/ReducerInterface_Distribution_test.res
@@ -63,8 +63,8 @@ describe("eval on distribution functions", () => {
     testEval("lognormal(5, 2) * 2", "Ok(Lognormal(5.693147180559945,2))")
   })
   describe("division", () => {
-    testEval("lognormal(5,2) / lognormal(10,2)", "Ok(Lognormal(-5,4))")
-    testEval("lognormal(10,2) / lognormal(5,2)", "Ok(Lognormal(5,4))")
+    testEval("lognormal(5,2) / lognormal(10,2)", "Ok(Lognormal(-5,2.8284271247461903))")
+    testEval("lognormal(10,2) / lognormal(5,2)", "Ok(Lognormal(5,2.8284271247461903))")
     testEval("lognormal(5, 2) / 2", "Ok(Lognormal(4.306852819440055,2))")
     testEval("2 / lognormal(5, 2)", "Ok(Lognormal(-4.306852819440055,2))")
     testEval("2 / normal(10, 2)", "Ok(Point Set Distribution)")
diff --git a/packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDist.res b/packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDist.res
index afd35800..da722036 100644
--- a/packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDist.res
+++ b/packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDist.res
@@ -160,14 +160,14 @@ module Lognormal = {
   let multiply = (l1, l2) => {
     // https://wikiless.org/wiki/Log-normal_distribution?lang=en#Multiplication_and_division_of_independent,_log-normal_random_variables
     let mu = l1.mu +. l2.mu
-    let sigma = Js.Math.sqrt(l1.sigma ** 2. +. l2.sigma ** 2.) // m
+    let sigma = Js.Math.sqrt(l1.sigma ** 2. +. l2.sigma ** 2.)
     #Lognormal({mu: mu, sigma: sigma})
   }
   let divide = (l1, l2) => {
     let mu = l1.mu -. l2.mu
     // We believe the ratiands will have covariance zero.
     // See here https://stats.stackexchange.com/questions/21735/what-are-the-mean-and-variance-of-the-ratio-of-two-lognormal-variables for details
-    let sigma = l1.sigma +. l2.sigma
+    let sigma = Js.Math.sqrt(l1.sigma ** 2. +. l2.sigma ** 2.)
     #Lognormal({mu: mu, sigma: sigma})
   }
   let operate = (operation: Operation.Algebraic.t, n1: t, n2: t) =>