History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bias"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1733 | 2026-02-26 16:34:45 | bias | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1732 | 2026-02-25 02:50:18 | bias | 1 | 13983 | 16 | 0.310 | 45106.5 |
| 1731 | 2026-02-21 23:03:03 | bias | 1 | 13983 | 16 | 0.453 | 30867.5 |
| 1730 | 2026-02-21 09:24:57 | bias | 2 | 29872 | 461 | 0.966 | 30923.4 |
| 1729 | 2026-02-21 09:24:57 | bias | 2 | 29872 | 461 | 0.950 | 31444.2 |
| 1728 | 2026-02-17 16:29:41 | bias | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1727 | 2026-02-16 02:02:05 | bias | 1 | 13983 | 16 | 0.860 | 16259.3 |
| 1726 | 2026-02-15 22:37:17 | bias | 1 | 13983 | 16 | 0.986 | 14181.5 |
| 1725 | 2026-02-15 10:12:40 | bias | 1 | 13983 | 16 | 0.813 | 17199.3 |
| 1724 | 2026-02-14 02:09:58 | bias | 1 | 13983 | 16 | 0.296 | 47239.9 |
| 1723 | 2026-02-13 00:17:06 | bias | 1 | 13983 | 16 | 0.720 | 19420.8 |
| 1722 | 2026-02-12 08:11:57 | bias | 1 | 13983 | 16 | 1.190 | 11750.4 |
| 1721 | 2026-02-12 08:11:49 | bias | 1 | 13983 | 16 | 1.200 | 11652.5 |
| 1720 | 2026-02-12 04:13:55 | bias | 1 | 13983 | 16 | 0.283 | 49409.9 |
| 1719 | 2026-02-12 04:13:37 | bias | 1 | 13983 | 16 | 1.203 | 11623.4 |
| 1718 | 2026-02-12 04:12:43 | bias | 1 | 13983 | 16 | 1.186 | 11790.1 |
| 1717 | 2026-02-11 20:20:17 | bias | 1 | 13983 | 16 | 1.080 | 12947.2 |
| 1716 | 2026-02-11 04:29:05 | bias | 1 | 13983 | 16 | 1.953 | 7159.8 |
| 1715 | 2026-02-06 06:40:24 | bias | 2 | 29872 | 461 | 1.216 | 24565.8 |
| 1714 | 2026-02-01 09:20:22 | bias | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1713 | 2026-01-31 08:23:30 | bias | 1 | 13983 | 16 | 0.890 | 15711.2 |
| 1712 | 2026-01-28 23:01:20 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1711 | 2026-01-28 18:09:53 | bias | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1710 | 2026-01-27 11:35:51 | bias | 2 | 29872 | 461 | 0.890 | 33564.0 |
| 1709 | 2026-01-25 06:15:44 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1708 | 2026-01-22 00:18:19 | bias | 1 | 13983 | 16 | 1.906 | 7336.3 |
| 1707 | 2026-01-20 14:00:42 | bias | 1 | 13983 | 16 | 0.530 | 26383.0 |
| 1706 | 2026-01-19 14:43:24 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1705 | 2026-01-18 15:53:06 | bias | 1 | 13983 | 16 | 0.830 | 16847.0 |
| 1704 | 2026-01-07 17:05:23 | bias | 2 | 29872 | 461 | 0.906 | 32971.3 |
| 1703 | 2026-01-07 14:59:55 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1702 | 2026-01-06 20:44:29 | bias | 1 | 13983 | 16 | 0.283 | 49409.9 |
| 1701 | 2025-12-31 21:43:08 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1700 | 2025-12-29 00:19:57 | bias | 1 | 13983 | 16 | 0.953 | 14672.6 |
| 1699 | 2025-12-26 08:25:37 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1698 | 2025-12-26 01:15:18 | bias | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1697 | 2025-12-25 12:54:45 | bias | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1696 | 2025-12-23 20:58:25 | bias | 1 | 13983 | 16 | 0.513 | 27257.3 |
| 1695 | 2025-12-18 09:16:37 | bias | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1694 | 2025-12-14 02:38:06 | bias | 2 | 29872 | 461 | 4.750 | 6288.8 |
| 1693 | 2025-12-14 02:37:30 | bias | 2 | 29872 | 461 | 4.483 | 6663.4 |
| 1692 | 2025-12-13 12:00:16 | bias | 2 | 29872 | 461 | 4.000 | 7468.0 |
| 1691 | 2025-12-10 01:24:59 | bias | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1690 | 2025-12-10 00:46:05 | bias | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1689 | 2025-12-02 21:52:41 | bias | 1 | 13983 | 16 | 1.170 | 11951.3 |
| 1688 | 2025-12-02 21:52:35 | bias | 1 | 13983 | 16 | 0.703 | 19890.5 |
| 1687 | 2025-11-27 11:19:20 | bias | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1686 | 2025-11-26 03:56:22 | bias | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1685 | 2025-11-24 13:19:26 | bias | 1 | 13983 | 16 | 0.623 | 22444.6 |
| 1684 | 2025-11-24 06:09:24 | bias | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1683 | 2025-11-23 16:51:42 | bias | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1682 | 2025-11-23 16:50:53 | bias | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1681 | 2025-11-22 22:53:36 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1680 | 2025-11-22 14:48:48 | bias | 2 | 29872 | 461 | 0.923 | 32364.0 |
| 1679 | 2025-11-20 20:27:04 | bias | 1 | 13983 | 16 | 0.970 | 14415.5 |
| 1678 | 2025-11-20 16:57:53 | bias | 1 | 13983 | 16 | 0.486 | 28771.6 |
| 1677 | 2025-11-20 16:56:39 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1676 | 2025-11-19 13:40:55 | bias | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1675 | 2025-11-18 00:10:07 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1674 | 2025-11-17 22:39:56 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1673 | 2025-11-15 03:12:09 | bias | 1 | 13983 | 16 | 0.283 | 49409.9 |
| 1672 | 2025-11-14 05:34:24 | bias | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1671 | 2025-11-13 15:29:09 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1670 | 2025-11-10 19:19:15 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1669 | 2025-11-10 05:21:51 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1668 | 2025-11-05 05:22:52 | bias | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1667 | 2025-11-04 03:56:08 | bias | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1666 | 2025-11-03 03:23:07 | bias | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1665 | 2025-11-02 20:36:05 | bias | 1 | 13983 | 16 | 0.283 | 49409.9 |
| 1664 | 2025-10-24 11:53:48 | bias | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1663 | 2025-10-23 13:45:36 | bias | 1 | 13983 | 16 | 0.953 | 14672.6 |
| 1662 | 2025-10-22 23:07:07 | bias | 1 | 13983 | 16 | 0.283 | 49409.9 |
| 1661 | 2025-10-21 06:22:10 | bias | 1 | 13983 | 16 | 1.016 | 13762.8 |
| 1660 | 2025-10-19 13:34:12 | bias | 1 | 13983 | 16 | 0.296 | 47239.9 |
| 1659 | 2025-10-19 10:30:22 | bias | 1 | 13983 | 16 | 0.903 | 15485.0 |
| 1658 | 2025-10-19 10:30:16 | bias | 1 | 13983 | 16 | 0.470 | 29751.1 |
| 1657 | 2025-10-19 10:30:13 | bias | 1 | 13983 | 16 | 1.280 | 10924.2 |
| 1656 | 2025-10-19 10:30:09 | bias | 1 | 13983 | 16 | 1.203 | 11623.4 |
| 1655 | 2025-10-18 01:03:12 | bias | 1 | 13983 | 16 | 0.296 | 47239.9 |
| 1654 | 2025-10-16 08:26:10 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1653 | 2025-09-30 14:02:39 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1652 | 2025-09-28 16:06:48 | bias | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1651 | 2025-09-27 12:23:03 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1650 | 2025-09-27 05:34:40 | bias | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1649 | 2025-09-27 05:33:17 | bias | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1648 | 2025-09-26 03:09:29 | bias | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1647 | 2025-09-25 21:43:55 | bias | 1 | 13983 | 16 | 1.483 | 9428.9 |
| 1646 | 2025-09-25 00:11:09 | bias | 1 | 13983 | 16 | 1.376 | 10162.1 |
| 1645 | 2025-09-25 00:11:07 | bias | 1 | 13983 | 16 | 1.703 | 8210.8 |
| 1644 | 2025-09-25 00:11:02 | bias | 1 | 13983 | 16 | 0.670 | 20870.1 |
| 1643 | 2025-09-25 00:10:59 | bias | 1 | 13983 | 16 | 1.546 | 9044.6 |
| 1642 | 2025-09-20 23:03:42 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1641 | 2025-09-19 20:00:29 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1640 | 2025-09-19 05:43:55 | bias | 1 | 13983 | 16 | 0.533 | 26234.5 |
| 1639 | 2025-09-17 05:17:47 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1638 | 2025-09-01 03:15:10 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1637 | 2025-08-30 02:11:27 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1636 | 2025-08-27 12:19:14 | bias | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1635 | 2025-08-23 21:22:26 | bias | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1634 | 2025-08-11 20:40:24 | bias | 1 | 13983 | 16 | 1.093 | 12793.2 |