History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biases"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
617 | 2025-08-30 04:05:59 | biases | 1 | 48755 | 7 | 1.550 | 31454.8 |
616 | 2025-08-26 21:06:54 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
615 | 2025-08-26 11:39:55 | biases | 1 | 48755 | 7 | 0.860 | 56691.9 |
614 | 2025-08-22 21:45:28 | biases | 1 | 48755 | 7 | 2.343 | 20808.8 |
613 | 2025-08-20 04:38:04 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
612 | 2025-08-19 09:45:36 | biases | 1 | 48755 | 7 | 3.593 | 13569.4 |
611 | 2025-08-14 12:50:11 | biases | 1 | 48755 | 7 | 0.860 | 56691.9 |
610 | 2025-08-13 20:31:34 | biases | 1 | 48755 | 7 | 0.826 | 59025.4 |
609 | 2025-08-13 11:30:40 | biases | 1 | 48755 | 7 | 4.080 | 11949.8 |
608 | 2025-08-10 23:35:14 | biases | 1 | 48755 | 7 | 1.716 | 28412.0 |
607 | 2025-08-10 03:08:47 | biases | 1 | 48755 | 7 | 1.716 | 28412.0 |
606 | 2025-08-10 02:23:31 | biases | 1 | 48755 | 7 | 2.030 | 24017.2 |
605 | 2025-08-09 10:06:20 | biases | 1 | 48755 | 7 | 1.796 | 27146.4 |
604 | 2025-08-03 09:18:49 | biases | 1 | 48755 | 7 | 0.860 | 56691.9 |
603 | 2025-08-01 12:21:17 | biases | 1 | 48755 | 7 | 4.313 | 11304.2 |
602 | 2025-08-01 06:56:40 | biases | 2 | 82551 | 135 | 6.833 | 12081.2 |
601 | 2025-08-01 03:53:47 | biases | 1 | 48755 | 7 | 1.736 | 28084.7 |
600 | 2025-07-31 01:05:11 | biases | 1 | 48755 | 7 | 0.906 | 53813.5 |
599 | 2025-07-30 20:37:21 | biases | 1 | 48755 | 7 | 3.750 | 13001.3 |
598 | 2025-07-24 01:23:46 | biases | 1 | 48755 | 7 | 7.733 | 6304.8 |
597 | 2025-07-22 16:32:01 | biases | 1 | 48755 | 7 | 2.046 | 23829.4 |
596 | 2025-07-21 16:01:18 | biases | 1 | 48755 | 7 | 5.873 | 8301.5 |
595 | 2025-07-21 00:20:53 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
594 | 2025-07-19 01:30:23 | biases | 1 | 48755 | 7 | 0.780 | 62506.4 |
593 | 2025-07-17 14:09:14 | biases | 1 | 48755 | 7 | 1.906 | 25579.7 |
592 | 2025-07-12 18:15:25 | biases | 1 | 48755 | 7 | 0.903 | 53992.2 |
591 | 2025-07-12 15:47:34 | biases | 2 | 82551 | 135 | 4.466 | 18484.3 |
590 | 2025-07-11 19:13:28 | biases | 2 | 82551 | 135 | 11.986 | 6887.3 |
589 | 2025-07-10 14:29:07 | biases | 2 | 82551 | 135 | 10.563 | 7815.1 |
588 | 2025-07-10 08:36:42 | biases | 1 | 48755 | 7 | 0.843 | 57835.1 |
587 | 2025-07-07 09:04:16 | biases | 1 | 48755 | 7 | 4.483 | 10875.5 |
586 | 2025-06-30 23:59:07 | biases | 1 | 48755 | 7 | 0.780 | 62506.4 |
585 | 2025-06-30 05:44:52 | biases | 2 | 82551 | 135 | 15.563 | 5304.3 |
584 | 2025-06-28 20:30:33 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
583 | 2025-06-11 21:43:59 | biases | 1 | 48755 | 7 | 1.953 | 24964.2 |
582 | 2025-06-10 10:59:29 | biases | 2 | 82551 | 135 | 13.033 | 6334.0 |
581 | 2025-06-10 02:14:27 | biases | 1 | 48755 | 7 | 3.016 | 16165.5 |
580 | 2025-06-08 19:59:07 | biases | 1 | 48755 | 7 | 3.936 | 12386.9 |
579 | 2025-06-08 08:57:40 | biases | 2 | 82551 | 135 | 21.140 | 3905.0 |
578 | 2025-06-07 07:57:57 | biases | 1 | 48755 | 7 | 0.826 | 59025.4 |
577 | 2025-05-31 04:37:43 | biases | 2 | 82551 | 135 | 12.860 | 6419.2 |
576 | 2025-05-29 20:10:28 | biases | 1 | 48755 | 7 | 0.826 | 59025.4 |
575 | 2025-05-28 13:44:54 | biases | 1 | 48755 | 7 | 0.923 | 52822.3 |
574 | 2025-05-27 14:05:22 | biases | 2 | 82551 | 135 | 9.060 | 9111.6 |
573 | 2025-05-25 11:11:47 | biases | 2 | 82551 | 135 | 2.686 | 30733.8 |
572 | 2025-05-23 11:10:13 | biases | 1 | 48755 | 7 | 0.860 | 56691.9 |
571 | 2025-05-19 11:50:44 | biases | 2 | 82551 | 135 | 2.440 | 33832.4 |
570 | 2025-05-17 02:59:24 | biases | 1 | 48755 | 7 | 0.906 | 53813.5 |
569 | 2025-05-11 22:24:19 | biases | 1 | 48755 | 7 | 4.156 | 11731.2 |
568 | 2025-05-10 02:06:44 | biases | 1 | 48755 | 7 | 2.720 | 17924.6 |
567 | 2025-05-08 12:49:38 | biases | 1 | 48755 | 7 | 2.626 | 18566.3 |
566 | 2025-05-08 00:15:49 | biases | 1 | 48755 | 7 | 3.796 | 12843.8 |
565 | 2025-05-07 08:25:08 | biases | 1 | 48755 | 7 | 0.890 | 54780.9 |
564 | 2025-05-05 07:42:35 | biases | 1 | 48755 | 7 | 0.906 | 53813.5 |
563 | 2025-04-28 20:10:34 | biases | 1 | 48755 | 7 | 0.920 | 52994.6 |
562 | 2025-04-22 15:00:44 | biases | 1 | 48755 | 7 | 0.876 | 55656.4 |
561 | 2025-04-16 09:07:55 | biases | 1 | 48755 | 7 | 4.016 | 12140.2 |
560 | 2025-04-13 12:48:38 | biases | 1 | 48755 | 7 | 0.766 | 63648.8 |
559 | 2025-04-10 22:02:58 | biases | 1 | 48755 | 7 | 4.736 | 10294.6 |
558 | 2025-04-09 10:30:31 | biases | 2 | 82551 | 135 | 17.173 | 4807.0 |
557 | 2025-04-08 07:47:58 | biases | 2 | 82551 | 135 | 2.703 | 30540.5 |
556 | 2025-04-08 01:48:22 | biases | 1 | 48755 | 7 | 3.940 | 12374.4 |
555 | 2025-04-07 07:15:26 | biases | 1 | 48755 | 7 | 0.840 | 58041.7 |
554 | 2025-04-06 00:09:47 | biases | 1 | 48755 | 7 | 4.483 | 10875.5 |
553 | 2025-03-28 21:25:40 | biases | 1 | 48755 | 7 | 4.080 | 11949.8 |
552 | 2025-03-27 21:11:33 | biases | 1 | 48755 | 7 | 1.656 | 29441.4 |
551 | 2025-03-16 08:05:05 | biases | 1 | 48755 | 7 | 2.453 | 19875.7 |
550 | 2025-03-10 04:54:38 | biases | 1 | 48755 | 7 | 1.643 | 29674.4 |
549 | 2025-03-07 23:19:09 | biases | 1 | 48755 | 7 | 3.733 | 13060.5 |
548 | 2025-03-07 19:29:29 | biases | 1 | 48755 | 7 | 4.750 | 10264.2 |
547 | 2025-03-06 20:51:46 | biases | 1 | 48755 | 7 | 3.983 | 12240.8 |
546 | 2025-02-04 11:02:40 | biases | 1 | 48755 | 7 | 2.466 | 19770.9 |
545 | 2025-01-26 14:50:10 | biases | 1 | 48755 | 7 | 2.923 | 16679.8 |
544 | 2025-01-17 11:26:53 | biases | 1 | 48755 | 7 | 6.470 | 7535.5 |
543 | 2025-01-06 11:02:02 | biases | 1 | 48755 | 7 | 5.483 | 8892.0 |
542 | 2025-01-03 23:40:15 | biases | 2 | 82551 | 135 | 8.970 | 9203.0 |
541 | 2025-01-03 23:39:56 | biases | 1 | 48755 | 7 | 6.033 | 8081.4 |
540 | 2024-12-27 11:04:32 | biases | 1 | 48755 | 7 | 2.186 | 22303.3 |
539 | 2024-12-12 22:02:38 | biases | 1 | 48755 | 7 | 3.983 | 12240.8 |
538 | 2024-12-06 20:41:15 | biases | 1 | 48755 | 7 | 3.813 | 12786.5 |
537 | 2024-12-04 15:56:55 | biases | 1 | 48755 | 7 | 3.563 | 13683.7 |
536 | 2024-12-01 05:42:51 | biases | 1 | 48755 | 7 | 1.906 | 25579.7 |
535 | 2024-11-27 07:50:38 | biases | 1 | 48755 | 7 | 2.530 | 19270.8 |
534 | 2024-11-07 07:21:40 | biases | 1 | 48755 | 7 | 2.203 | 22131.2 |
533 | 2024-11-05 06:44:41 | biases | 2 | 82551 | 135 | 5.843 | 14128.2 |
532 | 2024-11-04 10:28:28 | biases | 2 | 82551 | 135 | 9.376 | 8804.5 |
531 | 2024-11-04 10:28:13 | biases | 1 | 48755 | 7 | 3.906 | 12482.1 |
530 | 2024-10-22 20:22:00 | biases | 1 | 48755 | 7 | 4.376 | 11141.5 |
529 | 2024-10-08 02:19:12 | biases | 1 | 48755 | 7 | 5.733 | 8504.3 |
528 | 2024-10-05 02:07:35 | biases | 1 | 48755 | 7 | 6.610 | 7375.9 |
527 | 2024-09-22 19:54:58 | biases | 1 | 48755 | 7 | 4.356 | 11192.6 |
526 | 2024-09-15 23:20:30 | biases | 1 | 48755 | 7 | 5.266 | 9258.5 |
525 | 2024-09-06 02:55:07 | biases | 2 | 82551 | 135 | 12.190 | 6772.0 |
524 | 2024-09-06 02:54:51 | biases | 1 | 48755 | 7 | 8.033 | 6069.3 |
523 | 2024-09-04 18:13:58 | biases | 2 | 82551 | 135 | 24.033 | 3434.9 |
522 | 2024-09-04 13:27:48 | biases | 1 | 48755 | 7 | 8.483 | 5747.4 |
521 | 2024-09-03 21:14:03 | biases | 2 | 82551 | 135 | 18.160 | 4545.8 |
520 | 2024-09-03 13:55:39 | biases | 2 | 82551 | 135 | 18.186 | 4539.3 |
519 | 2024-09-03 13:55:26 | biases | 1 | 48755 | 7 | 2.016 | 24184.0 |
518 | 2024-09-02 10:14:24 | biases | 1 | 48755 | 7 | 7.436 | 6556.6 |