diff --git a/packages/squiggle-lang/__tests__/Distributions/Dotwise_test.res b/packages/squiggle-lang/__tests__/Distributions/Dotwise_test.res
index 6a61e3e1..9a77d3e5 100644
--- a/packages/squiggle-lang/__tests__/Distributions/Dotwise_test.res
+++ b/packages/squiggle-lang/__tests__/Distributions/Dotwise_test.res
@@ -9,7 +9,7 @@ describe("dotSubtract", () => {
   test("mean of normal minus exponential (unit)", () => {
     let mean = 0.0
     let rate = 10.0
-
+    exception MeanFailed
     let dotDifference = DistributionOperation.Constructors.pointwiseSubtract(
       ~env,
       mkNormal(mean, 1.0),
@@ -19,7 +19,7 @@ describe("dotSubtract", () => {
     let meanAnalytical = mean -. 1.0 /. rate
     switch meanResult {
     | Ok(meanValue) => meanValue->expect->toBeCloseTo(meanAnalytical)
-    | Error(err) => err->expect->toBe(DistributionTypes.OperationError(DivisionByZeroError))
+    | Error(_) => raise(MeanFailed)
     }
   })
   Skip.test("mean of normal minus exponential (property)", () => {
diff --git a/packages/squiggle-lang/__tests__/Distributions/Score_test.res b/packages/squiggle-lang/__tests__/Distributions/Score_test.res
deleted file mode 100644
index 33cb0c82..00000000
--- a/packages/squiggle-lang/__tests__/Distributions/Score_test.res
+++ /dev/null
@@ -1,11 +0,0 @@
-/*
-This test case comes via Nuño https://github.com/quantified-uncertainty/squiggle/issues/433
-*/
-open Jest
-open Expect
-
-describe("KL divergence", () => {
-  test("our's agrees with analytical", () => {
-    true->expect->toBe(true)
-  })
-})
diff --git a/packages/squiggle-lang/__tests__/TS/Score_test.ts b/packages/squiggle-lang/__tests__/TS/Score_test.ts
deleted file mode 100644
index a7d24023..00000000
--- a/packages/squiggle-lang/__tests__/TS/Score_test.ts
+++ /dev/null
@@ -1,19 +0,0 @@
-import { testRun } from "./TestHelpers";
-
-describe("KL divergence", () => {
-  test.skip("by integral solver agrees with analytical", () => {
-    let squiggleStringKL = `prediction=normal(4, 1)
-             answer=normal(1,1)
-             logSubtraction=dotSubtract(scaleLog(answer),scaleLog(prediction))
-             klintegrand=dotMultiply(logSubtraction, answer)
-             klintegral = integralSum(klintegrand)
-             analyticalKl = log(1 / 1) + 1 ^ 2 / (2 * 1 ^ 2) + ((4 - 1) * (1 - 4) / (2 * 1 * 1)) - 1 / 2
-             klintegral - analyticalKl`;
-    let squiggleResultKL = testRun(squiggleStringKL);
-    expect(squiggleResultKL.value).toBeCloseTo(0);
-  });
-});
-
-let squiggleStringLS = `prediction=normal(4,1)
-     answer=normal(1,1)
-     logScore(prediction, answer)`;
diff --git a/packages/squiggle-lang/__tests__/TestHelpers.res b/packages/squiggle-lang/__tests__/TestHelpers.res
index c9ed718e..54c4c814 100644
--- a/packages/squiggle-lang/__tests__/TestHelpers.res
+++ b/packages/squiggle-lang/__tests__/TestHelpers.res
@@ -70,4 +70,3 @@ let cauchyMakeR = (local, rate) => fmapGenDist(SymbolicDist.Cauchy.make(local, r
 let lognormalMakeR = (mu, sigma) => fmapGenDist(SymbolicDist.Lognormal.make(mu, sigma))
 let triangularMakeR = (low, mode, high) =>
   fmapGenDist(SymbolicDist.Triangular.make(low, mode, high))
-// let floatMakeR = x =>E.R.fmap(s => DistributionTypes.Symbolic(s), SymbolicDist.Float.make(x))