History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"fatalities"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 485 | 2025-11-09 10:06:10 | fatalities | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 484 | 2025-11-08 00:00:51 | fatalities | 2 | 108824 | 13 | 2.906 | 37448.0 |
| 483 | 2025-11-06 13:17:56 | fatalities | 4 | 161450 | 411 | 10.766 | 14996.3 |
| 482 | 2025-11-06 02:41:19 | fatalities | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 481 | 2025-10-30 13:42:34 | fatalities | 1 | 67641 | 2 | 1.216 | 55625.8 |
| 480 | 2025-10-29 22:11:51 | fatalities | 3 | 140603 | 91 | 14.656 | 9593.5 |
| 479 | 2025-10-29 03:37:42 | fatalities | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 478 | 2025-10-26 14:19:05 | fatalities | 3 | 140603 | 91 | 6.766 | 20780.8 |
| 477 | 2025-10-26 02:02:05 | fatalities | 1 | 67641 | 2 | 1.000 | 67641.0 |
| 476 | 2025-10-26 01:00:46 | fatalities | 3 | 140603 | 91 | 7.030 | 20000.4 |
| 475 | 2025-10-25 12:13:09 | fatalities | 1 | 67641 | 2 | 1.153 | 58665.2 |
| 474 | 2025-10-25 01:16:05 | fatalities | 1 | 67641 | 2 | 1.123 | 60232.4 |
| 473 | 2025-10-23 20:57:39 | fatalities | 3 | 140603 | 91 | 40.486 | 3472.9 |
| 472 | 2025-10-23 20:57:27 | fatalities | 3 | 140603 | 91 | 36.063 | 3898.8 |
| 471 | 2025-10-23 20:56:52 | fatalities | 3 | 140603 | 91 | 33.513 | 4195.5 |
| 470 | 2025-10-23 20:56:36 | fatalities | 3 | 140603 | 91 | 45.063 | 3120.1 |
| 469 | 2025-10-23 20:56:34 | fatalities | 2 | 108824 | 13 | 23.953 | 4543.2 |
| 468 | 2025-10-23 19:02:37 | fatalities | 1 | 67641 | 2 | 1.173 | 57665.0 |
| 467 | 2025-10-16 19:19:18 | fatalities | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 466 | 2025-10-13 00:45:52 | fatalities | 1 | 67641 | 2 | 1.016 | 66575.8 |
| 465 | 2025-10-12 14:41:21 | fatalities | 4 | 161450 | 411 | 11.423 | 14133.8 |
| 464 | 2025-10-12 12:40:46 | fatalities | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 463 | 2025-10-10 05:46:55 | fatalities | 1 | 67641 | 2 | 1.110 | 60937.8 |
| 462 | 2025-10-09 19:45:15 | fatalities | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 461 | 2025-10-09 11:03:58 | fatalities | 1 | 67641 | 2 | 1.016 | 66575.8 |
| 460 | 2025-10-08 20:35:25 | fatalities | 1 | 67641 | 2 | 1.313 | 51516.4 |
| 459 | 2025-10-05 19:24:13 | fatalities | 1 | 67641 | 2 | 1.640 | 41244.5 |
| 458 | 2025-10-01 23:03:08 | fatalities | 3 | 140603 | 91 | 6.890 | 20406.8 |
| 457 | 2025-09-26 09:50:58 | fatalities | 3 | 140603 | 91 | 5.970 | 23551.6 |
| 456 | 2025-09-19 08:12:48 | fatalities | 3 | 140603 | 91 | 8.550 | 16444.8 |
| 455 | 2025-09-19 06:20:58 | fatalities | 3 | 140603 | 91 | 6.606 | 21284.1 |
| 454 | 2025-09-12 20:19:27 | fatalities | 2 | 108824 | 13 | 3.283 | 33147.7 |
| 453 | 2025-09-11 15:35:08 | fatalities | 1 | 67641 | 2 | 1.873 | 36113.7 |
| 452 | 2025-09-11 06:08:08 | fatalities | 1 | 67641 | 2 | 1.170 | 57812.8 |
| 451 | 2025-09-10 16:43:44 | fatalities | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 450 | 2025-09-09 15:16:38 | fatalities | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 449 | 2025-09-04 11:50:59 | fatalities | 3 | 140603 | 91 | 5.873 | 23940.6 |
| 448 | 2025-09-04 05:06:02 | fatalities | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 447 | 2025-09-03 23:06:02 | fatalities | 2 | 108824 | 13 | 3.110 | 34991.6 |
| 446 | 2025-09-02 17:49:55 | fatalities | 2 | 108824 | 13 | 2.843 | 38277.9 |
| 445 | 2025-08-29 12:57:38 | fatalities | 3 | 140603 | 91 | 5.500 | 25564.2 |
| 444 | 2025-08-26 02:00:00 | fatalities | 1 | 67641 | 2 | 2.766 | 24454.4 |
| 443 | 2025-08-24 19:52:28 | fatalities | 1 | 67641 | 2 | 3.936 | 17185.2 |
| 442 | 2025-08-23 07:49:31 | fatalities | 1 | 67641 | 2 | 6.156 | 10987.8 |
| 441 | 2025-08-17 16:39:05 | fatalities | 1 | 67641 | 2 | 2.873 | 23543.7 |
| 440 | 2025-08-10 12:35:39 | fatalities | 1 | 67641 | 2 | 4.093 | 16526.0 |
| 439 | 2025-08-09 02:49:49 | fatalities | 1 | 67641 | 2 | 5.310 | 12738.4 |
| 438 | 2025-08-01 17:05:55 | fatalities | 2 | 108824 | 13 | 8.720 | 12479.8 |
| 437 | 2025-08-01 16:58:10 | fatalities | 3 | 140603 | 91 | 20.203 | 6959.5 |
| 436 | 2025-08-01 16:58:01 | fatalities | 3 | 140603 | 91 | 16.140 | 8711.5 |
| 435 | 2025-08-01 15:41:54 | fatalities | 3 | 140603 | 91 | 29.646 | 4742.7 |
| 434 | 2025-07-31 23:07:35 | fatalities | 3 | 140603 | 91 | 34.066 | 4127.4 |
| 433 | 2025-07-31 14:09:32 | fatalities | 1 | 67641 | 2 | 2.640 | 25621.6 |
| 432 | 2025-07-27 12:50:47 | fatalities | 1 | 67641 | 2 | 3.060 | 22104.9 |
| 431 | 2025-07-22 17:27:53 | fatalities | 1 | 67641 | 2 | 3.203 | 21118.0 |
| 430 | 2025-07-22 12:10:45 | fatalities | 1 | 67641 | 2 | 2.436 | 27767.2 |
| 429 | 2025-07-17 12:12:39 | fatalities | 2 | 108824 | 13 | 15.313 | 7106.6 |
| 428 | 2025-07-16 00:45:37 | fatalities | 3 | 140603 | 91 | 7.546 | 18632.8 |
| 427 | 2025-07-14 12:24:20 | fatalities | 3 | 140603 | 91 | 19.126 | 7351.4 |
| 426 | 2025-07-13 03:19:35 | fatalities | 1 | 67641 | 2 | 1.656 | 40846.0 |
| 425 | 2025-06-30 01:35:25 | fatalities | 4 | 161450 | 411 | 65.183 | 2476.9 |
| 424 | 2025-06-29 04:51:11 | fatalities | 4 | 161450 | 411 | 56.300 | 2867.7 |
| 423 | 2025-06-29 04:49:28 | fatalities | 4 | 161450 | 411 | 16.080 | 10040.4 |
| 422 | 2025-06-27 21:29:57 | fatalities | 4 | 161450 | 411 | 38.596 | 4183.1 |
| 421 | 2025-06-26 12:31:14 | fatalities | 1 | 67641 | 2 | 6.670 | 10141.1 |
| 420 | 2025-06-26 10:52:48 | fatalities | 1 | 67641 | 2 | 5.453 | 12404.4 |
| 419 | 2025-06-17 05:52:10 | fatalities | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 418 | 2025-06-15 22:31:41 | fatalities | 1 | 67641 | 2 | 5.356 | 12629.0 |
| 417 | 2025-06-15 04:15:13 | fatalities | 3 | 140603 | 91 | 8.233 | 17078.0 |
| 416 | 2025-06-14 17:40:28 | fatalities | 1 | 67641 | 2 | 5.610 | 12057.2 |
| 415 | 2025-06-14 11:41:57 | fatalities | 2 | 108824 | 13 | 16.283 | 6683.3 |
| 414 | 2025-06-14 09:50:21 | fatalities | 3 | 140603 | 91 | 27.813 | 5055.3 |
| 413 | 2025-06-14 00:59:51 | fatalities | 3 | 140603 | 91 | 38.753 | 3628.2 |
| 412 | 2025-06-13 23:30:51 | fatalities | 3 | 140603 | 91 | 32.130 | 4376.1 |
| 411 | 2025-06-13 06:20:56 | fatalities | 2 | 108824 | 13 | 3.393 | 32073.1 |
| 410 | 2025-06-12 21:38:13 | fatalities | 3 | 140603 | 91 | 20.580 | 6832.0 |
| 409 | 2025-06-12 02:56:15 | fatalities | 1 | 67641 | 2 | 3.500 | 19326.0 |
| 408 | 2025-06-11 20:16:13 | fatalities | 1 | 67641 | 2 | 1.250 | 54112.8 |
| 407 | 2025-06-08 08:35:47 | fatalities | 1 | 67641 | 2 | 7.826 | 8643.1 |
| 406 | 2025-06-03 16:19:29 | fatalities | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 405 | 2025-06-03 16:14:58 | fatalities | 1 | 67641 | 2 | 6.173 | 10957.6 |
| 404 | 2025-06-03 15:56:03 | fatalities | 1 | 67641 | 2 | 3.016 | 22427.4 |
| 403 | 2025-05-27 18:57:21 | fatalities | 1 | 67641 | 2 | 2.733 | 24749.7 |
| 402 | 2025-05-26 13:12:16 | fatalities | 1 | 67641 | 2 | 3.720 | 18183.1 |
| 401 | 2025-05-24 21:43:13 | fatalities | 2 | 108824 | 13 | 7.326 | 14854.5 |
| 400 | 2025-05-22 12:11:35 | fatalities | 1 | 67641 | 2 | 2.673 | 25305.3 |
| 399 | 2025-05-21 10:27:04 | fatalities | 1 | 67641 | 2 | 1.093 | 61885.6 |
| 398 | 2025-05-19 18:14:16 | fatalities | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 397 | 2025-05-10 19:36:40 | fatalities | 1 | 67641 | 2 | 5.606 | 12065.8 |
| 396 | 2025-05-08 08:14:07 | fatalities | 1 | 67641 | 2 | 3.826 | 17679.3 |
| 395 | 2025-05-03 20:00:10 | fatalities | 1 | 67641 | 2 | 3.420 | 19778.1 |
| 394 | 2025-04-23 12:33:39 | fatalities | 1 | 67641 | 2 | 6.046 | 11187.7 |
| 393 | 2025-04-20 01:42:53 | fatalities | 1 | 67641 | 2 | 2.813 | 24045.9 |
| 392 | 2025-04-18 09:57:32 | fatalities | 1 | 67641 | 2 | 4.860 | 13917.9 |
| 391 | 2025-03-31 14:39:33 | fatalities | 3 | 140603 | 91 | 32.910 | 4272.3 |
| 390 | 2025-03-29 07:20:07 | fatalities | 2 | 108824 | 13 | 18.906 | 5756.1 |
| 389 | 2025-03-28 22:40:19 | fatalities | 3 | 140603 | 91 | 18.250 | 7704.3 |
| 388 | 2025-03-28 18:17:44 | fatalities | 2 | 108824 | 13 | 2.843 | 38277.9 |
| 387 | 2025-03-27 21:11:46 | fatalities | 1 | 67641 | 2 | 1.406 | 48108.8 |
| 386 | 2025-03-27 10:10:09 | fatalities | 1 | 67641 | 2 | 7.766 | 8709.9 |