diff --git a/shared/Log Analysis.ipynb b/shared/Log Analysis.ipynb
index 387a790..f68b9d0 100644
--- a/shared/Log Analysis.ipynb	
+++ b/shared/Log Analysis.ipynb	
@@ -154,30 +154,7 @@
    "outputs": [],
    "source": [
     "folder_path = \"test_logs/\" + str(run_id)\n",
-    "file_list_start = os.listdir(folder_path)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "44b7438a",
-   "metadata": {},
-   "source": [
-    "## Clean anomalies based on threshold on last height"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f4c3b78c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "file_list = []\n",
-    "for file in file_list_start:\n",
-    "    with open(folder_path + \"/\" + file, \"rb\") as file_pkl:\n",
-    "        data = pickle.load(file_pkl)\n",
-    "    if len(data[1]) == 2 and np.abs(data[0]['z'][-1]) < 0.15:  # Threshold height, otherwise not landed (vz not trained)\n",
-    "        file_list.append(file)"
+    "file_list = os.listdir(folder_path)"
    ]
   },
   {
@@ -212,6 +189,8 @@
     "for i in range(len(last_pos)):\n",
     "    if last_pos[i][0] <= 0.3 and last_pos[i][1] <= 0.3:\n",
     "        success_cont += 1\n",
+    "        if len(data[1]) == 3 and last_pos[i][2] > 0.3:  # Checking also vz, if available\n",
+    "            success_cont -= 1\n",
     "sr = 100 * success_cont / len(last_pos)\n",
     "\n",
     "print(\"Success Rate: {}\".format(sr))\n",