History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biasness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 370 | 2025-10-26 09:41:38 | biasness | 1 | 82945 | 1 | 1.533 | 54106.3 |
| 369 | 2025-10-21 02:52:15 | biasness | 1 | 82945 | 1 | 5.516 | 15037.2 |
| 368 | 2025-10-15 12:44:37 | biasness | 1 | 82945 | 1 | 1.406 | 58993.6 |
| 367 | 2025-10-08 13:31:33 | biasness | 1 | 82945 | 1 | 1.440 | 57600.7 |
| 366 | 2025-10-03 08:07:30 | biasness | 1 | 82945 | 1 | 1.766 | 46967.7 |
| 365 | 2025-09-27 23:56:58 | biasness | 1 | 82945 | 1 | 1.576 | 52630.1 |
| 364 | 2025-09-15 01:49:18 | biasness | 1 | 82945 | 1 | 1.296 | 64000.8 |
| 363 | 2025-09-14 18:26:23 | biasness | 1 | 82945 | 1 | 1.390 | 59672.7 |
| 362 | 2025-09-06 03:23:29 | biasness | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 361 | 2025-09-03 18:17:55 | biasness | 1 | 82945 | 1 | 1.346 | 61623.3 |
| 360 | 2025-08-31 20:39:16 | biasness | 1 | 82945 | 1 | 1.373 | 60411.5 |
| 359 | 2025-08-25 02:33:24 | biasness | 1 | 82945 | 1 | 6.096 | 13606.5 |
| 358 | 2025-08-24 07:14:23 | biasness | 1 | 82945 | 1 | 6.563 | 12638.3 |
| 357 | 2025-08-18 03:11:38 | biasness | 1 | 82945 | 1 | 1.466 | 56579.1 |
| 356 | 2025-08-15 01:34:31 | biasness | 3 | 146162 | 171 | 16.893 | 8652.2 |
| 355 | 2025-08-12 12:53:55 | biasness | 3 | 146162 | 171 | 25.940 | 5634.6 |
| 354 | 2025-08-09 02:07:22 | biasness | 1 | 82945 | 1 | 5.156 | 16087.1 |
| 353 | 2025-08-06 05:30:06 | biasness | 3 | 146162 | 171 | 17.126 | 8534.5 |
| 352 | 2025-08-01 23:30:29 | biasness | 1 | 82945 | 1 | 3.360 | 24686.0 |
| 351 | 2025-08-01 23:30:28 | biasness | 1 | 82945 | 1 | 3.483 | 23814.2 |
| 350 | 2025-08-01 17:56:36 | biasness | 3 | 146162 | 171 | 20.186 | 7240.8 |
| 349 | 2025-07-31 10:44:06 | biasness | 1 | 82945 | 1 | 1.873 | 44284.6 |
| 348 | 2025-07-26 09:44:41 | biasness | 1 | 82945 | 1 | 1.546 | 53651.4 |
| 347 | 2025-07-24 07:17:44 | biasness | 1 | 82945 | 1 | 5.640 | 14706.6 |
| 346 | 2025-07-24 06:11:11 | biasness | 1 | 82945 | 1 | 4.796 | 17294.6 |
| 345 | 2025-07-17 14:56:04 | biasness | 1 | 82945 | 1 | 5.796 | 14310.7 |
| 344 | 2025-07-13 10:50:08 | biasness | 1 | 82945 | 1 | 2.296 | 36125.9 |
| 343 | 2025-07-09 07:50:27 | biasness | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 342 | 2025-07-07 02:21:30 | biasness | 1 | 82945 | 1 | 5.063 | 16382.6 |
| 341 | 2025-07-05 11:17:55 | biasness | 1 | 82945 | 1 | 10.330 | 8029.5 |
| 340 | 2025-06-30 10:08:16 | biasness | 1 | 82945 | 1 | 4.640 | 17876.1 |
| 339 | 2025-06-16 17:20:44 | biasness | 1 | 82945 | 1 | 7.686 | 10791.7 |
| 338 | 2025-06-11 23:22:51 | biasness | 1 | 82945 | 1 | 5.140 | 16137.2 |
| 337 | 2025-06-07 10:25:15 | biasness | 1 | 82945 | 1 | 5.703 | 14544.1 |
| 336 | 2025-06-02 10:03:55 | biasness | 1 | 82945 | 1 | 6.936 | 11958.6 |
| 335 | 2025-06-02 02:29:03 | biasness | 1 | 82945 | 1 | 6.923 | 11981.1 |
| 334 | 2025-05-29 01:21:16 | biasness | 1 | 82945 | 1 | 3.533 | 23477.2 |
| 333 | 2025-05-22 03:17:01 | biasness | 1 | 82945 | 1 | 7.576 | 10948.4 |
| 332 | 2025-05-13 16:25:44 | biasness | 3 | 146162 | 171 | 49.643 | 2944.3 |
| 331 | 2025-05-07 23:35:15 | biasness | 1 | 82945 | 1 | 6.876 | 12063.0 |
| 330 | 2025-05-07 08:22:03 | biasness | 1 | 82945 | 1 | 1.470 | 56425.2 |
| 329 | 2025-05-06 10:01:07 | biasness | 1 | 82945 | 1 | 7.740 | 10716.4 |
| 328 | 2025-04-30 09:47:28 | biasness | 1 | 82945 | 1 | 3.843 | 21583.4 |
| 327 | 2025-04-28 10:20:14 | biasness | 1 | 82945 | 1 | 7.190 | 11536.2 |
| 326 | 2025-04-27 14:07:36 | biasness | 1 | 82945 | 1 | 1.530 | 54212.4 |
| 325 | 2025-04-26 01:52:16 | biasness | 3 | 146162 | 171 | 41.863 | 3491.4 |
| 324 | 2025-04-25 14:36:04 | biasness | 3 | 146162 | 171 | 36.060 | 4053.3 |
| 323 | 2025-04-24 21:57:28 | biasness | 3 | 146162 | 171 | 6.533 | 22372.9 |
| 322 | 2025-04-24 11:32:11 | biasness | 3 | 146162 | 171 | 33.033 | 4424.7 |
| 321 | 2025-04-21 16:54:23 | biasness | 3 | 146162 | 171 | 40.843 | 3578.6 |
| 320 | 2025-04-20 14:25:53 | biasness | 3 | 146162 | 171 | 32.066 | 4558.2 |
| 319 | 2025-04-20 02:04:16 | biasness | 1 | 82945 | 1 | 5.063 | 16382.6 |
| 318 | 2025-04-19 03:02:39 | biasness | 3 | 146162 | 171 | 7.686 | 19016.7 |
| 317 | 2025-04-04 06:39:58 | biasness | 1 | 82945 | 1 | 6.780 | 12233.8 |
| 316 | 2025-04-01 23:00:53 | biasness | 1 | 82945 | 1 | 6.766 | 12259.1 |
| 315 | 2025-03-29 12:09:57 | biasness | 2 | 121059 | 9 | 10.343 | 11704.4 |
| 314 | 2025-03-28 11:45:25 | biasness | 1 | 82945 | 1 | 3.436 | 24140.0 |
| 313 | 2025-03-26 01:52:22 | biasness | 3 | 146162 | 171 | 34.163 | 4278.4 |
| 312 | 2025-03-24 11:44:43 | biasness | 1 | 82945 | 1 | 5.453 | 15210.9 |
| 311 | 2025-03-23 14:09:11 | biasness | 3 | 146162 | 171 | 58.160 | 2513.1 |
| 310 | 2025-03-20 04:08:48 | biasness | 1 | 82945 | 1 | 5.750 | 14425.2 |
| 309 | 2025-03-20 04:01:05 | biasness | 1 | 82945 | 1 | 9.326 | 8894.0 |
| 308 | 2025-03-17 13:45:33 | biasness | 1 | 82945 | 1 | 5.796 | 14310.7 |
| 307 | 2025-03-15 01:47:30 | biasness | 1 | 82945 | 1 | 6.280 | 13207.8 |
| 306 | 2025-02-23 04:24:44 | biasness | 3 | 146162 | 171 | 29.360 | 4978.3 |
| 305 | 2025-02-23 00:10:41 | biasness | 3 | 146162 | 171 | 43.080 | 3392.8 |
| 304 | 2025-02-22 06:33:15 | biasness | 3 | 146162 | 171 | 38.410 | 3805.3 |
| 303 | 2025-02-22 06:33:13 | biasness | 2 | 121059 | 9 | 17.626 | 6868.2 |
| 302 | 2025-02-22 06:32:47 | biasness | 1 | 82945 | 1 | 6.563 | 12638.3 |
| 301 | 2025-02-07 09:20:10 | biasness | 2 | 121059 | 9 | 16.186 | 7479.2 |
| 300 | 2025-02-07 09:02:01 | biasness | 1 | 82945 | 1 | 1.296 | 64000.8 |
| 299 | 2025-02-01 12:54:16 | biasness | 3 | 146162 | 171 | 36.563 | 3997.5 |
| 298 | 2025-02-01 12:54:14 | biasness | 2 | 121059 | 9 | 17.626 | 6868.2 |
| 297 | 2025-02-01 12:54:08 | biasness | 1 | 82945 | 1 | 5.500 | 15080.9 |
| 296 | 2025-01-17 23:03:57 | biasness | 1 | 82945 | 1 | 10.033 | 8267.2 |
| 295 | 2025-01-16 05:58:20 | biasness | 3 | 146162 | 171 | 34.250 | 4267.5 |
| 294 | 2025-01-15 05:48:35 | biasness | 3 | 146162 | 171 | 35.753 | 4088.1 |
| 293 | 2025-01-14 08:07:39 | biasness | 3 | 146162 | 171 | 15.093 | 9684.1 |
| 292 | 2025-01-14 08:07:40 | biasness | 2 | 121059 | 9 | 7.813 | 15494.6 |
| 291 | 2025-01-14 08:07:36 | biasness | 1 | 82945 | 1 | 8.000 | 10368.1 |
| 290 | 2025-01-02 23:08:48 | biasness | 1 | 82945 | 1 | 4.810 | 17244.3 |
| 289 | 2024-12-29 03:13:02 | biasness | 1 | 82945 | 1 | 6.750 | 12288.1 |
| 288 | 2024-12-19 18:56:26 | biasness | 2 | 121059 | 9 | 17.420 | 6949.4 |
| 287 | 2024-12-12 15:59:04 | biasness | 1 | 82945 | 1 | 6.560 | 12644.1 |
| 286 | 2024-12-10 14:37:56 | biasness | 3 | 146162 | 171 | 32.946 | 4436.4 |
| 285 | 2024-12-10 00:47:42 | biasness | 2 | 121059 | 9 | 17.190 | 7042.4 |
| 284 | 2024-12-10 00:47:10 | biasness | 3 | 146162 | 171 | 35.813 | 4081.3 |
| 283 | 2024-12-09 15:58:53 | biasness | 3 | 146162 | 171 | 34.780 | 4202.5 |
| 282 | 2024-12-09 15:58:52 | biasness | 2 | 121059 | 9 | 17.343 | 6980.3 |
| 281 | 2024-12-09 15:58:24 | biasness | 1 | 82945 | 1 | 5.593 | 14830.1 |
| 280 | 2024-11-29 00:08:21 | biasness | 3 | 146162 | 171 | 28.440 | 5139.3 |
| 279 | 2024-11-29 00:06:56 | biasness | 1 | 82945 | 1 | 5.030 | 16490.1 |
| 278 | 2024-11-28 18:11:36 | biasness | 1 | 82945 | 1 | 3.513 | 23610.9 |
| 277 | 2024-11-10 21:03:58 | biasness | 2 | 121059 | 9 | 25.516 | 4744.4 |
| 276 | 2024-11-09 10:08:48 | biasness | 2 | 121059 | 9 | 3.733 | 32429.4 |
| 275 | 2024-11-08 06:37:55 | biasness | 2 | 121059 | 9 | 16.673 | 7260.8 |
| 274 | 2024-11-08 05:48:03 | biasness | 1 | 82945 | 1 | 1.266 | 65517.4 |
| 273 | 2024-11-08 04:28:16 | biasness | 3 | 146162 | 171 | 10.373 | 14090.6 |
| 272 | 2024-11-07 20:54:22 | biasness | 3 | 146162 | 171 | 39.753 | 3676.8 |
| 271 | 2024-11-07 20:54:20 | biasness | 2 | 121059 | 9 | 14.983 | 8079.8 |