History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"likelihoods"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 862 | 2025-12-01 00:22:39 | likelihoods | 5 | 164607 | 60 | 14.550 | 11313.2 |
| 861 | 2025-11-29 22:04:51 | likelihoods | 5 | 164607 | 60 | 19.190 | 8577.7 |
| 860 | 2025-11-28 08:11:08 | likelihoods | 5 | 164607 | 60 | 15.326 | 10740.4 |
| 859 | 2025-11-21 22:50:51 | likelihoods | 3 | 121633 | 6 | 5.250 | 23168.2 |
| 858 | 2025-11-21 19:02:27 | likelihoods | 6 | 173545 | 479 | 22.250 | 7799.8 |
| 857 | 2025-11-21 16:39:21 | likelihoods | 2 | 86808 | 5 | 2.343 | 37049.9 |
| 856 | 2025-11-19 21:50:34 | likelihoods | 2 | 86808 | 5 | 6.280 | 13822.9 |
| 855 | 2025-11-15 12:29:05 | likelihoods | 1 | 49908 | 3 | 0.843 | 59202.8 |
| 854 | 2025-11-09 18:00:31 | likelihoods | 6 | 173545 | 479 | 19.766 | 8780.0 |
| 853 | 2025-11-07 13:15:26 | likelihoods | 1 | 49908 | 3 | 0.860 | 58032.6 |
| 852 | 2025-11-04 04:10:43 | likelihoods | 1 | 49908 | 3 | 0.843 | 59202.8 |
| 851 | 2025-11-01 15:24:38 | likelihoods | 5 | 164607 | 60 | 13.500 | 12193.1 |
| 850 | 2025-10-21 00:45:53 | likelihoods | 6 | 173545 | 479 | 105.600 | 1643.4 |
| 849 | 2025-10-03 20:12:18 | likelihoods | 6 | 173545 | 479 | 30.300 | 5727.6 |
| 848 | 2025-09-19 09:49:01 | likelihoods | 2 | 86808 | 5 | 2.483 | 34960.9 |
| 847 | 2025-09-19 08:39:52 | likelihoods | 2 | 86808 | 5 | 1.983 | 43776.1 |
| 846 | 2025-09-19 07:22:30 | likelihoods | 6 | 173545 | 479 | 21.530 | 8060.6 |
| 845 | 2025-09-18 12:52:29 | likelihoods | 3 | 121633 | 6 | 5.330 | 22820.5 |
| 844 | 2025-09-18 12:43:18 | likelihoods | 5 | 164607 | 60 | 13.986 | 11769.4 |
| 843 | 2025-09-18 00:43:55 | likelihoods | 5 | 164607 | 60 | 13.643 | 12065.3 |
| 842 | 2025-09-17 08:21:13 | likelihoods | 2 | 86808 | 5 | 2.093 | 41475.4 |
| 841 | 2025-09-16 22:43:58 | likelihoods | 4 | 148819 | 11 | 12.110 | 12288.9 |
| 840 | 2025-09-16 21:58:49 | likelihoods | 3 | 121633 | 6 | 4.280 | 28418.9 |
| 839 | 2025-09-10 13:57:21 | likelihoods | 2 | 86808 | 5 | 1.983 | 43776.1 |
| 838 | 2025-08-25 05:38:30 | likelihoods | 1 | 49908 | 3 | 2.953 | 16900.8 |
| 837 | 2025-08-19 13:24:37 | likelihoods | 3 | 121633 | 6 | 10.156 | 11976.5 |
| 836 | 2025-08-19 00:31:52 | likelihoods | 2 | 86808 | 5 | 4.343 | 19988.0 |
| 835 | 2025-08-18 21:59:01 | likelihoods | 4 | 148819 | 11 | 44.330 | 3357.1 |
| 834 | 2025-08-12 12:03:00 | likelihoods | 4 | 148819 | 11 | 57.526 | 2587.0 |
| 833 | 2025-08-12 10:59:55 | likelihoods | 3 | 121633 | 6 | 13.893 | 8755.0 |
| 832 | 2025-07-30 04:31:14 | likelihoods | 4 | 148819 | 11 | 22.346 | 6659.8 |
| 831 | 2025-07-29 05:49:14 | likelihoods | 4 | 148819 | 11 | 37.796 | 3937.4 |
| 830 | 2025-07-27 01:42:12 | likelihoods | 1 | 49908 | 3 | 2.686 | 18580.8 |
| 829 | 2025-07-26 09:00:27 | likelihoods | 2 | 86808 | 5 | 2.550 | 34042.4 |
| 828 | 2025-07-26 07:58:47 | likelihoods | 3 | 121633 | 6 | 24.826 | 4899.4 |
| 827 | 2025-07-25 10:23:34 | likelihoods | 1 | 49908 | 3 | 1.483 | 33653.4 |
| 826 | 2025-07-25 04:06:29 | likelihoods | 1 | 49908 | 3 | 4.170 | 11968.3 |
| 825 | 2025-07-24 07:54:38 | likelihoods | 1 | 49908 | 3 | 1.766 | 28260.5 |
| 824 | 2025-07-24 00:39:18 | likelihoods | 1 | 49908 | 3 | 1.686 | 29601.4 |
| 823 | 2025-07-16 21:16:56 | likelihoods | 1 | 49908 | 3 | 3.233 | 15437.1 |
| 822 | 2025-06-20 18:55:25 | likelihoods | 3 | 121633 | 6 | 26.126 | 4655.6 |
| 821 | 2025-06-20 18:35:43 | likelihoods | 1 | 49908 | 3 | 6.033 | 8272.5 |
| 820 | 2025-06-20 13:33:22 | likelihoods | 3 | 121633 | 6 | 26.296 | 4625.5 |
| 819 | 2025-06-19 19:11:12 | likelihoods | 2 | 86808 | 5 | 8.186 | 10604.4 |
| 818 | 2025-06-02 06:34:06 | likelihoods | 1 | 49908 | 3 | 6.546 | 7624.2 |
| 817 | 2025-05-31 10:06:29 | likelihoods | 1 | 49908 | 3 | 3.983 | 12530.3 |
| 816 | 2025-04-22 22:41:42 | likelihoods | 1 | 49908 | 3 | 2.623 | 19027.1 |
| 815 | 2025-03-29 14:09:12 | likelihoods | 1 | 49908 | 3 | 3.750 | 13308.8 |
| 814 | 2025-03-12 17:57:28 | likelihoods | 1 | 49908 | 3 | 2.126 | 23475.1 |
| 813 | 2025-03-08 16:57:42 | likelihoods | 3 | 121633 | 6 | 32.420 | 3751.8 |
| 812 | 2025-03-08 16:57:40 | likelihoods | 2 | 86808 | 5 | 11.596 | 7486.0 |
| 811 | 2025-03-08 16:54:31 | likelihoods | 1 | 49908 | 3 | 3.893 | 12819.9 |
| 810 | 2025-02-20 04:54:26 | likelihoods | 4 | 148819 | 11 | 56.206 | 2647.7 |
| 809 | 2025-02-20 04:54:18 | likelihoods | 3 | 121633 | 6 | 18.720 | 6497.5 |
| 808 | 2025-02-20 04:54:18 | likelihoods | 2 | 86808 | 5 | 11.143 | 7790.4 |
| 807 | 2025-02-19 02:01:11 | likelihoods | 4 | 148819 | 11 | 45.690 | 3257.1 |
| 806 | 2025-02-10 02:27:10 | likelihoods | 1 | 49908 | 3 | 4.750 | 10506.9 |
| 805 | 2025-02-04 04:06:28 | likelihoods | 1 | 49908 | 3 | 5.610 | 8896.3 |
| 804 | 2025-01-31 15:50:22 | likelihoods | 4 | 148819 | 11 | 39.643 | 3754.0 |
| 803 | 2025-01-31 15:50:23 | likelihoods | 3 | 121633 | 6 | 20.563 | 5915.1 |
| 802 | 2025-01-31 15:50:26 | likelihoods | 2 | 86808 | 5 | 11.483 | 7559.7 |
| 801 | 2025-01-31 15:48:21 | likelihoods | 1 | 49908 | 3 | 3.796 | 13147.5 |
| 800 | 2025-01-30 07:07:40 | likelihoods | 2 | 86808 | 5 | 5.936 | 14624.0 |
| 799 | 2025-01-16 18:50:30 | likelihoods | 1 | 49908 | 3 | 3.813 | 13088.9 |
| 798 | 2025-01-16 13:41:12 | likelihoods | 4 | 148819 | 11 | 54.176 | 2747.0 |
| 797 | 2025-01-16 13:41:11 | likelihoods | 3 | 121633 | 6 | 25.923 | 4692.1 |
| 796 | 2025-01-15 19:51:44 | likelihoods | 3 | 121633 | 6 | 23.126 | 5259.6 |
| 795 | 2025-01-13 05:21:25 | likelihoods | 4 | 148819 | 11 | 41.156 | 3616.0 |
| 794 | 2025-01-13 05:21:05 | likelihoods | 3 | 121633 | 6 | 37.843 | 3214.1 |
| 793 | 2025-01-03 13:20:45 | likelihoods | 4 | 148819 | 11 | 61.923 | 2403.3 |
| 792 | 2025-01-03 13:18:57 | likelihoods | 1 | 49908 | 3 | 0.826 | 60421.3 |
| 791 | 2024-12-29 19:53:07 | likelihoods | 4 | 148819 | 11 | 45.143 | 3296.6 |
| 790 | 2024-12-29 19:52:56 | likelihoods | 4 | 148819 | 11 | 53.240 | 2795.2 |
| 789 | 2024-12-29 19:53:09 | likelihoods | 3 | 121633 | 6 | 25.160 | 4834.4 |
| 788 | 2024-12-29 19:53:16 | likelihoods | 2 | 86808 | 5 | 11.876 | 7309.5 |
| 787 | 2024-12-29 19:51:47 | likelihoods | 1 | 49908 | 3 | 3.830 | 13030.8 |
| 786 | 2024-12-19 00:35:37 | likelihoods | 2 | 86808 | 5 | 11.593 | 7488.0 |
| 785 | 2024-12-15 22:26:43 | likelihoods | 3 | 121633 | 6 | 24.936 | 4877.8 |
| 784 | 2024-12-15 22:23:36 | likelihoods | 1 | 49908 | 3 | 2.123 | 23508.2 |
| 783 | 2024-12-12 21:23:49 | likelihoods | 2 | 86808 | 5 | 11.110 | 7813.5 |
| 782 | 2024-12-12 21:23:42 | likelihoods | 3 | 121633 | 6 | 17.953 | 6775.1 |
| 781 | 2024-12-12 21:22:40 | likelihoods | 1 | 49908 | 3 | 3.373 | 14796.3 |
| 780 | 2024-12-05 03:50:28 | likelihoods | 4 | 148819 | 11 | 41.706 | 3568.3 |
| 779 | 2024-12-05 03:50:09 | likelihoods | 3 | 121633 | 6 | 26.250 | 4633.6 |
| 778 | 2024-12-05 03:49:59 | likelihoods | 2 | 86808 | 5 | 11.373 | 7632.8 |
| 777 | 2024-12-04 11:29:51 | likelihoods | 1 | 49908 | 3 | 5.826 | 8566.4 |
| 776 | 2024-11-24 05:09:24 | likelihoods | 4 | 148819 | 11 | 53.050 | 2805.3 |
| 775 | 2024-11-23 01:06:57 | likelihoods | 4 | 148819 | 11 | 41.516 | 3584.6 |
| 774 | 2024-11-23 01:06:21 | likelihoods | 4 | 148819 | 11 | 59.236 | 2512.3 |
| 773 | 2024-11-23 01:06:24 | likelihoods | 4 | 148819 | 11 | 52.283 | 2846.4 |
| 772 | 2024-11-23 01:06:33 | likelihoods | 3 | 121633 | 6 | 26.253 | 4633.1 |
| 771 | 2024-11-23 01:06:41 | likelihoods | 2 | 86808 | 5 | 11.076 | 7837.5 |
| 770 | 2024-11-23 01:04:14 | likelihoods | 1 | 49908 | 3 | 1.533 | 32555.8 |
| 769 | 2024-11-19 10:53:50 | likelihoods | 4 | 148819 | 11 | 40.876 | 3640.7 |
| 768 | 2024-11-17 08:38:25 | likelihoods | 4 | 148819 | 11 | 41.363 | 3597.9 |
| 767 | 2024-11-17 02:06:41 | likelihoods | 2 | 86808 | 5 | 15.830 | 5483.8 |
| 766 | 2024-11-16 11:57:44 | likelihoods | 4 | 148819 | 11 | 51.160 | 2908.9 |
| 765 | 2024-11-08 16:48:23 | likelihoods | 1 | 49908 | 3 | 2.110 | 23653.1 |
| 764 | 2024-11-08 07:50:12 | likelihoods | 1 | 49908 | 3 | 1.686 | 29601.4 |
| 763 | 2024-10-26 12:05:23 | likelihoods | 4 | 148819 | 11 | 64.313 | 2314.0 |