History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "mean"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 1376 | 2025-10-30 02:51:40 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 | 
		| 1375 | 2025-10-29 15:25:55 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1374 | 2025-10-28 09:40:49 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 | 
		| 1373 | 2025-10-24 19:49:30 | mean | 1 | 13983 | 17 | 0.530 | 26383.0 | 
		| 1372 | 2025-10-24 18:38:29 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 | 
		| 1371 | 2025-10-23 17:45:14 | mean | 1 | 13983 | 17 | 0.280 | 49939.3 | 
		| 1370 | 2025-10-23 15:36:44 | mean | 1 | 13983 | 17 | 0.326 | 42892.6 | 
		| 1369 | 2025-10-22 10:07:26 | mean | 1 | 13983 | 17 | 1.326 | 10545.2 | 
		| 1368 | 2025-10-20 11:30:51 | mean | 1 | 13983 | 17 | 1.173 | 11920.7 | 
		| 1367 | 2025-10-19 13:58:44 | mean | 2 | 29872 | 289 | 3.236 | 9231.1 | 
		| 1366 | 2025-10-19 12:53:56 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 | 
		| 1365 | 2025-10-13 15:39:43 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 | 
		| 1364 | 2025-10-13 13:08:17 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 | 
		| 1363 | 2025-10-08 20:41:38 | mean | 2 | 29872 | 289 | 1.906 | 15672.6 | 
		| 1362 | 2025-10-02 02:46:29 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1361 | 2025-09-25 14:12:55 | mean | 1 | 13983 | 17 | 1.076 | 12995.4 | 
		| 1360 | 2025-09-23 09:46:39 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 | 
		| 1359 | 2025-09-22 17:32:24 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 | 
		| 1358 | 2025-09-20 01:29:39 | mean | 2 | 29872 | 289 | 0.873 | 34217.6 | 
		| 1357 | 2025-09-19 22:23:54 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 | 
		| 1356 | 2025-09-19 19:02:33 | mean | 1 | 13983 | 17 | 0.263 | 53167.3 | 
		| 1355 | 2025-09-17 19:01:04 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 | 
		| 1354 | 2025-09-15 21:13:49 | mean | 1 | 13983 | 17 | 0.263 | 53167.3 | 
		| 1353 | 2025-09-15 08:06:44 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1352 | 2025-09-10 15:11:25 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 | 
		| 1351 | 2025-09-08 17:19:39 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 | 
		| 1350 | 2025-09-08 17:03:48 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1349 | 2025-09-06 11:47:35 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 | 
		| 1348 | 2025-09-04 07:49:33 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 | 
		| 1347 | 2025-09-03 09:16:06 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1346 | 2025-09-03 06:51:54 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 | 
		| 1345 | 2025-09-02 05:50:23 | mean | 1 | 13983 | 17 | 0.280 | 49939.3 | 
		| 1344 | 2025-08-31 07:34:58 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 | 
		| 1343 | 2025-08-29 06:33:52 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1342 | 2025-08-27 18:33:14 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1341 | 2025-08-27 15:01:04 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1340 | 2025-08-27 01:59:28 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1339 | 2025-08-25 21:57:47 | mean | 1 | 13983 | 17 | 0.263 | 53167.3 | 
		| 1338 | 2025-08-25 21:15:29 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1337 | 2025-08-25 01:54:12 | mean | 1 | 13983 | 17 | 1.266 | 11045.0 | 
		| 1336 | 2025-08-11 07:57:23 | mean | 1 | 13983 | 17 | 0.593 | 23580.1 | 
		| 1335 | 2025-08-09 18:53:37 | mean | 1 | 13983 | 17 | 0.936 | 14939.1 | 
		| 1334 | 2025-08-03 20:27:53 | mean | 1 | 13983 | 17 | 0.283 | 49409.9 | 
		| 1333 | 2025-08-02 01:35:46 | mean | 1 | 13983 | 17 | 0.703 | 19890.5 | 
		| 1332 | 2025-08-01 15:00:46 | mean | 2 | 29872 | 289 | 1.970 | 15163.5 | 
		| 1331 | 2025-07-31 11:57:10 | mean | 1 | 13983 | 17 | 0.936 | 14939.1 | 
		| 1330 | 2025-07-27 01:48:45 | mean | 1 | 13983 | 17 | 0.826 | 16928.6 | 
		| 1329 | 2025-07-26 08:15:22 | mean | 1 | 13983 | 17 | 0.970 | 14415.5 | 
		| 1328 | 2025-07-24 04:51:23 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1327 | 2025-07-24 03:11:55 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 | 
		| 1326 | 2025-07-23 04:20:12 | mean | 1 | 13983 | 17 | 1.153 | 12127.5 | 
		| 1325 | 2025-07-22 15:18:11 | mean | 1 | 13983 | 17 | 1.203 | 11623.4 | 
		| 1324 | 2025-07-21 21:28:40 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 | 
		| 1323 | 2025-07-19 21:33:12 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1322 | 2025-07-17 04:04:08 | mean | 1 | 13983 | 17 | 0.923 | 15149.5 | 
		| 1321 | 2025-07-15 02:09:20 | mean | 2 | 29872 | 289 | 1.843 | 16208.4 | 
		| 1320 | 2025-07-09 09:42:27 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1319 | 2025-07-07 18:02:26 | mean | 1 | 13983 | 17 | 0.686 | 20383.4 | 
		| 1318 | 2025-07-02 20:44:49 | mean | 1 | 13983 | 17 | 0.580 | 24108.6 | 
		| 1317 | 2025-07-02 11:09:08 | mean | 2 | 29872 | 289 | 2.110 | 14157.3 | 
		| 1316 | 2025-06-30 13:46:33 | mean | 2 | 29872 | 289 | 4.326 | 6905.2 | 
		| 1315 | 2025-06-29 11:38:52 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 | 
		| 1314 | 2025-06-24 07:25:04 | mean | 1 | 13983 | 17 | 1.843 | 7587.1 | 
		| 1313 | 2025-06-22 04:11:42 | mean | 1 | 13983 | 17 | 1.046 | 13368.1 | 
		| 1312 | 2025-06-20 03:25:08 | mean | 1 | 13983 | 17 | 1.593 | 8777.8 | 
		| 1311 | 2025-06-16 03:05:33 | mean | 1 | 13983 | 17 | 0.953 | 14672.6 | 
		| 1310 | 2025-06-16 00:04:50 | mean | 1 | 13983 | 17 | 0.970 | 14415.5 | 
		| 1309 | 2025-06-15 06:06:46 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1308 | 2025-06-12 18:51:20 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 | 
		| 1307 | 2025-06-09 05:58:43 | mean | 2 | 29872 | 289 | 0.750 | 39829.3 | 
		| 1306 | 2025-06-07 17:13:50 | mean | 1 | 13983 | 17 | 0.796 | 17566.6 | 
		| 1305 | 2025-06-05 03:45:17 | mean | 2 | 29872 | 289 | 4.623 | 6461.6 | 
		| 1304 | 2025-06-02 19:30:54 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1303 | 2025-05-30 13:00:40 | mean | 1 | 13983 | 17 | 1.656 | 8443.8 | 
		| 1302 | 2025-05-30 09:11:58 | mean | 1 | 13983 | 17 | 1.906 | 7336.3 | 
		| 1301 | 2025-05-29 11:21:06 | mean | 1 | 13983 | 17 | 0.283 | 49409.9 | 
		| 1300 | 2025-05-28 21:46:36 | mean | 1 | 13983 | 17 | 0.936 | 14939.1 | 
		| 1299 | 2025-05-28 13:42:42 | mean | 1 | 13983 | 17 | 0.263 | 53167.3 | 
		| 1298 | 2025-05-28 08:43:03 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 | 
		| 1297 | 2025-05-23 02:47:10 | mean | 1 | 13983 | 17 | 0.950 | 14718.9 | 
		| 1296 | 2025-05-20 03:51:02 | mean | 1 | 13983 | 17 | 0.656 | 21315.5 | 
		| 1295 | 2025-05-19 17:47:46 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1294 | 2025-05-16 03:18:47 | mean | 1 | 13983 | 17 | 1.143 | 12233.6 | 
		| 1293 | 2025-05-15 14:18:21 | mean | 1 | 13983 | 17 | 1.373 | 10184.3 | 
		| 1292 | 2025-05-12 09:51:45 | mean | 1 | 13983 | 17 | 0.890 | 15711.2 | 
		| 1291 | 2025-05-09 18:38:14 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 | 
		| 1290 | 2025-05-09 11:41:32 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1289 | 2025-05-09 02:34:55 | mean | 1 | 13983 | 17 | 0.203 | 68881.8 | 
		| 1288 | 2025-05-08 20:20:29 | mean | 1 | 13983 | 17 | 1.093 | 12793.2 | 
		| 1287 | 2025-05-08 17:02:54 | mean | 1 | 13983 | 17 | 0.296 | 47239.9 | 
		| 1286 | 2025-05-04 18:32:02 | mean | 1 | 13983 | 17 | 1.440 | 9710.4 | 
		| 1285 | 2025-05-02 19:50:12 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 | 
		| 1284 | 2025-04-29 09:31:36 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1283 | 2025-04-28 11:34:03 | mean | 1 | 13983 | 17 | 1.470 | 9512.2 | 
		| 1282 | 2025-04-28 05:35:00 | mean | 1 | 13983 | 17 | 0.733 | 19076.4 | 
		| 1281 | 2025-04-27 11:21:15 | mean | 1 | 13983 | 17 | 1.250 | 11186.4 | 
		| 1280 | 2025-04-23 14:01:11 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 | 
		| 1279 | 2025-04-20 02:09:14 | mean | 1 | 13983 | 17 | 1.796 | 7785.6 | 
		| 1278 | 2025-04-15 02:50:53 | mean | 1 | 13983 | 17 | 1.266 | 11045.0 | 
		| 1277 | 2025-04-09 01:08:10 | mean | 1 | 13983 | 17 | 1.873 | 7465.6 |