diff --git a/src/HowBadIsMyBatch.ipynb b/src/HowBadIsMyBatch.ipynb
index 6c19691ada6..4ba958272a1 100644
--- a/src/HowBadIsMyBatch.ipynb
+++ b/src/HowBadIsMyBatch.ipynb
@@ -147,6 +147,9 @@
     "    def filterByCovid19(self, dataFrame):\n",
     "        return dataFrame[self._isCovid19(dataFrame)]\n",
     "\n",
+    "    def filterByFlu(self, dataFrame):\n",
+    "        return dataFrame[self._isFlu(dataFrame)]\n",
+    "\n",
     "    def filterByCountry(self, dataFrame, country, countryColumnName):\n",
     "        return dataFrame[dataFrame[countryColumnName] == country]\n",
     "\n",
@@ -156,6 +159,9 @@
     "    def _isCovid19(self, dataFrame):\n",
     "        return dataFrame[\"VAX_TYPE\"] == \"COVID19\"\n",
     "\n",
+    "    def _isFlu(self, dataFrame):\n",
+    "        return dataFrame[\"VAX_TYPE\"].str.startswith(\"FLU\")\n",
+    "\n",
     "    def _isManufacturer(self, dataFrame, manufacturer):\n",
     "        return dataFrame[\"VAX_MANU\"] == manufacturer if manufacturer is not None else True\n",
     "\n",
@@ -530,6 +536,80 @@
     "\n",
     "class DataFrameFilterTest(unittest.TestCase):\n",
     "\n",
+    "    def test_filterByFlu(self):\n",
+    "        # Given\n",
+    "        dataFrame = TestHelper.createDataFrame(\n",
+    "            columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE',   'VAX_MANU',                    'VAX_LOT', 'VAX_DOSE_SERIES'],\n",
+    "            data = [  [0,       0,         0,         'FLU(H1N1)',  'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLU3',       'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLU4',       'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUA3',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUA4',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUC3',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUC4',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUN(H1N1)', 'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUN3',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUN4',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUR3',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUR4',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUX',       'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUX(H1N1)', 'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         1,         'COVID19',    'MODERNA',                     '025L20A', '1']],\n",
+    "            index = [\n",
+    "                \"801410\",\n",
+    "                \"801411\",\n",
+    "                \"801412\",\n",
+    "                \"801413\",\n",
+    "                \"801414\",\n",
+    "                \"801415\",\n",
+    "                \"801416\",\n",
+    "                \"801417\",\n",
+    "                \"801418\",\n",
+    "                \"801419\",\n",
+    "                \"801420\",\n",
+    "                \"801421\",\n",
+    "                \"801422\",\n",
+    "                \"801423\",\n",
+    "                \"801424\"])\n",
+    "        dataFrameFilter = DataFrameFilter()\n",
+    "            \n",
+    "        # When\n",
+    "        dataFrameActual = dataFrameFilter.filterByFlu(dataFrame)\n",
+    "        \n",
+    "        # Then\n",
+    "        dataFrameExpected = TestHelper.createDataFrame(\n",
+    "            columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE',   'VAX_MANU',                   'VAX_LOT',  'VAX_DOSE_SERIES'],\n",
+    "            data = [  [0,       0,         0,         'FLU(H1N1)',  'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLU3',       'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLU4',       'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUA3',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUA4',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUC3',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUC4',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUN(H1N1)', 'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUN3',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUN4',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUR3',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUR4',      'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUX',       'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1'],\n",
+    "                      [0,       0,         0,         'FLUX(H1N1)', 'GLAXOSMITHKLINE BIOLOGICALS', '5R3J5',   '1']],\n",
+    "            index = [\n",
+    "                \"801410\",\n",
+    "                \"801411\",\n",
+    "                \"801412\",\n",
+    "                \"801413\",\n",
+    "                \"801414\",\n",
+    "                \"801415\",\n",
+    "                \"801416\",\n",
+    "                \"801417\",\n",
+    "                \"801418\",\n",
+    "                \"801419\",\n",
+    "                \"801420\",\n",
+    "                \"801421\",\n",
+    "                \"801422\",\n",
+    "                \"801423\"])\n",
+    "        assert_frame_equal(dataFrameActual, dataFrameExpected, check_dtype = False)\n",
+    "\n",
     "    def test_filterByCovid19_filterBy(self):\n",
     "        # Given\n",
     "        dataFrame = VaersDescr2DataFrameConverter.createDataFrameFromDescrs(\n",
@@ -1438,6 +1518,28 @@
     "\n",
     "sns.boxplot(x = \"CONCENTRATION\", y = \"Total Number of Adverse Reaction Reports\", data = batchCodeTable, order = order)"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "259b6474",
+   "metadata": {},
+   "source": [
+    "### COVID-19 Vaccines vs. Flu Vaccines"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fa5c8480",
+   "metadata": {},
+   "source": [
+    "see https://www.bitchute.com/video/4HlIyBmOEJeY/ and https://www.bitchute.com/video/8wJYP2NpGwN2/"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "37ccbee6",
+   "metadata": {},
+   "source": []
   }
  ],
  "metadata": {