diff --git a/src/data-structures/bloom-filter/__test__/BloomFilterFalsePositive.test.js b/src/data-structures/bloom-filter/__test__/BloomFilterFalsePositive.test.js
deleted file mode 100644
index dd1ad73a..00000000
--- a/src/data-structures/bloom-filter/__test__/BloomFilterFalsePositive.test.js
+++ /dev/null
@@ -1,86 +0,0 @@
-import BloomFilter from '../BloomFilter';
-
-// Adapted from http://stackoverflow.com/questions/1349404/generate-random-string-characters-in-javascript
-function makeID() {
-  const possible = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz';
-  let id = '';
-
-  for (let i = 0; i < 10; i += 1) {
-    const randomLength = Math.random() * possible.length;
-    const randomIndex = Math.floor(randomLength);
-    id += possible.charAt(randomIndex);
-  }
-
-  return id;
-}
-
-function run10kTrials(numRandomTests = 1000) {
-  const bloomFilter = new BloomFilter();
-  const mockPeopleIDs = [];
-
-  for (let i = 0; i < 10; i += 1) {
-    mockPeopleIDs.push(makeID());
-  }
-
-  mockPeopleIDs.forEach(id => bloomFilter.insert(id));
-  let numFalsePositives = 0;
-
-  for (let index = 0; index < numRandomTests; index += 1) {
-    const randomID = makeID();
-    if (bloomFilter.mayContain(randomID)) {
-      numFalsePositives += 1;
-    }
-  }
-
-  return numFalsePositives;
-}
-
-function testFilter(numTrials = 100) {
-  const results = [];
-
-  for (let i = 0; i < numTrials; i += 1) {
-    results.push(run10kTrials());
-  }
-
-  const sum = results.reduce((cumulative, next) => cumulative + next, 0);
-  return sum / numTrials;
-}
-
-describe('Bloom filter false positives', () => {
-  const falsePositiveProbability = 0.0174;
-  const expectedFalsePositives = falsePositiveProbability * 1000;
-  const avgFalsePositives = testFilter();
-
-  it(`Should keep false positives close to an expected value:
-  
-  # trials = 1000
-  k = 3    (hash functions)
-  m = 100  (size)
-  n = 10   (items inserted)
-  
-  Using k, m, and n, plugged into https://hur.st/bloomfilter/?n=3&p=&m=18&k=3
-  Chance of false positive = 0.017
-  
-  Expected false positives    =  # trials * chance of false positive
-  Expected false positives    => 1000 * ${falsePositiveProbability}
-  Expected false positives    => ${expectedFalsePositives}
-  
-  **************************
-  EXPECTED   = ${expectedFalsePositives}
-  ACTUAL AVG = ${avgFalsePositives}
-  **************************
-  
-  If the expected and actual numbers are far off, something is wrong.
-  Inspect manually.`, () => {
-    // We give it a large range to avoid unnecessary failures.
-    // If it's working correctly, the value should definitely
-    // fall within this range.
-
-    // In over 1,000 test runs, none of them ever come close
-    // to falling outside of this range.
-    const upperLimit = expectedFalsePositives + 5;
-    const lowerLimit = expectedFalsePositives - 5;
-    expect(avgFalsePositives).toBeGreaterThan(lowerLimit);
-    expect(avgFalsePositives).toBeLessThan(upperLimit);
-  });
-});