History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biassedly"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
260 | 2025-08-25 16:13:50 | biassedly | 4 | 165329 | 168 | 59.973 | 2756.7 |
259 | 2025-08-25 16:02:09 | biassedly | 4 | 165329 | 168 | 62.693 | 2637.1 |
258 | 2025-08-25 14:32:44 | biassedly | 3 | 148641 | 16 | 19.673 | 7555.6 |
257 | 2025-08-23 12:05:52 | biassedly | 4 | 165329 | 168 | 58.896 | 2807.1 |
256 | 2025-08-20 12:09:05 | biassedly | 1 | 81242 | 2 | 1.360 | 59736.8 |
255 | 2025-08-13 02:08:35 | biassedly | 1 | 81242 | 2 | 4.516 | 17989.8 |
254 | 2025-08-09 10:43:53 | biassedly | 1 | 81242 | 2 | 8.953 | 9074.3 |
253 | 2025-08-08 01:06:30 | biassedly | 1 | 81242 | 2 | 3.483 | 23325.3 |
252 | 2025-07-27 00:04:41 | biassedly | 3 | 148641 | 16 | 19.880 | 7476.9 |
251 | 2025-07-26 01:56:39 | biassedly | 1 | 81242 | 2 | 1.373 | 59171.2 |
250 | 2025-07-20 15:13:55 | biassedly | 1 | 81242 | 2 | 1.233 | 65889.7 |
249 | 2025-07-03 09:46:05 | biassedly | 1 | 81242 | 2 | 1.360 | 59736.8 |
248 | 2025-07-03 00:40:48 | biassedly | 1 | 81242 | 2 | 7.136 | 11384.8 |
247 | 2025-06-14 20:14:16 | biassedly | 1 | 81242 | 2 | 3.560 | 22820.8 |
246 | 2025-05-25 23:00:45 | biassedly | 3 | 148641 | 16 | 37.343 | 3980.4 |
245 | 2025-05-25 14:43:39 | biassedly | 1 | 81242 | 2 | 4.190 | 19389.5 |
244 | 2025-04-22 15:52:02 | biassedly | 1 | 81242 | 2 | 1.516 | 53589.7 |
243 | 2025-03-31 20:04:50 | biassedly | 1 | 81242 | 2 | 3.500 | 23212.0 |
242 | 2025-03-15 11:02:33 | biassedly | 3 | 148641 | 16 | 36.736 | 4046.2 |
241 | 2025-03-05 15:50:37 | biassedly | 3 | 148641 | 16 | 53.753 | 2765.3 |
240 | 2025-03-04 04:53:58 | biassedly | 3 | 148641 | 16 | 36.846 | 4034.1 |
239 | 2025-03-04 04:53:40 | biassedly | 3 | 148641 | 16 | 35.046 | 4241.3 |
238 | 2025-03-04 04:53:57 | biassedly | 2 | 121436 | 5 | 14.423 | 8419.6 |
237 | 2025-03-04 04:51:20 | biassedly | 1 | 81242 | 2 | 3.296 | 24648.7 |
236 | 2025-02-27 05:16:25 | biassedly | 3 | 148641 | 16 | 34.533 | 4304.3 |
235 | 2025-02-24 13:35:51 | biassedly | 1 | 81242 | 2 | 1.326 | 61268.5 |
234 | 2025-02-13 10:22:19 | biassedly | 3 | 148641 | 16 | 35.330 | 4207.2 |
233 | 2025-02-13 10:22:15 | biassedly | 2 | 121436 | 5 | 18.020 | 6739.0 |
232 | 2025-02-13 09:28:21 | biassedly | 1 | 81242 | 2 | 9.796 | 8293.4 |
231 | 2025-02-12 06:16:10 | biassedly | 3 | 148641 | 16 | 46.126 | 3222.5 |
230 | 2025-02-12 06:16:14 | biassedly | 2 | 121436 | 5 | 24.280 | 5001.5 |
229 | 2025-02-12 06:14:08 | biassedly | 1 | 81242 | 2 | 2.170 | 37438.7 |
228 | 2025-01-28 01:17:52 | biassedly | 3 | 148641 | 16 | 36.033 | 4125.1 |
227 | 2025-01-27 16:54:12 | biassedly | 4 | 165329 | 168 | 71.520 | 2311.6 |
226 | 2025-01-27 16:54:21 | biassedly | 3 | 148641 | 16 | 48.346 | 3074.5 |
225 | 2025-01-27 16:54:19 | biassedly | 2 | 121436 | 5 | 13.423 | 9046.9 |
224 | 2025-01-27 16:07:23 | biassedly | 1 | 81242 | 2 | 6.813 | 11924.6 |
223 | 2025-01-15 02:22:53 | biassedly | 1 | 81242 | 2 | 1.516 | 53589.7 |
222 | 2025-01-08 10:58:44 | biassedly | 3 | 148641 | 16 | 27.610 | 5383.6 |
221 | 2025-01-08 10:58:45 | biassedly | 2 | 121436 | 5 | 15.736 | 7717.1 |
220 | 2025-01-08 10:56:48 | biassedly | 1 | 81242 | 2 | 2.876 | 28248.3 |
219 | 2024-12-25 18:34:49 | biassedly | 3 | 148641 | 16 | 41.190 | 3608.7 |
218 | 2024-12-25 18:34:46 | biassedly | 3 | 148641 | 16 | 26.483 | 5612.7 |
217 | 2024-12-25 18:34:49 | biassedly | 2 | 121436 | 5 | 16.673 | 7283.4 |
216 | 2024-12-25 17:35:01 | biassedly | 1 | 81242 | 2 | 1.440 | 56418.1 |
215 | 2024-11-25 09:31:28 | biassedly | 1 | 81242 | 2 | 5.783 | 14048.4 |
214 | 2024-11-15 23:23:36 | biassedly | 1 | 81242 | 2 | 8.986 | 9041.0 |
213 | 2024-11-13 22:51:23 | biassedly | 1 | 81242 | 2 | 6.313 | 12869.0 |
212 | 2024-10-17 23:12:45 | biassedly | 3 | 148641 | 16 | 53.176 | 2795.3 |
211 | 2024-10-17 23:11:31 | biassedly | 1 | 81242 | 2 | 3.093 | 26266.4 |
210 | 2024-10-16 08:09:08 | biassedly | 2 | 121436 | 5 | 17.656 | 6877.9 |
209 | 2024-10-16 08:08:47 | biassedly | 3 | 148641 | 16 | 31.830 | 4669.8 |
208 | 2024-10-16 08:07:46 | biassedly | 1 | 81242 | 2 | 6.563 | 12378.8 |
207 | 2024-10-16 00:38:47 | biassedly | 3 | 148641 | 16 | 36.080 | 4119.8 |
206 | 2024-10-14 14:58:36 | biassedly | 3 | 148641 | 16 | 38.423 | 3868.5 |
205 | 2024-10-14 14:58:28 | biassedly | 2 | 121436 | 5 | 17.580 | 6907.6 |
204 | 2024-10-13 17:28:41 | biassedly | 3 | 148641 | 16 | 35.423 | 4196.2 |
203 | 2024-10-13 17:28:28 | biassedly | 3 | 148641 | 16 | 35.846 | 4146.7 |
202 | 2024-10-13 17:28:35 | biassedly | 2 | 121436 | 5 | 18.030 | 6735.2 |
201 | 2024-10-13 17:26:52 | biassedly | 1 | 81242 | 2 | 5.923 | 13716.4 |
200 | 2024-10-03 20:32:17 | biassedly | 1 | 81242 | 2 | 9.376 | 8664.9 |
199 | 2024-09-12 10:19:08 | biassedly | 1 | 81242 | 2 | 15.643 | 5193.5 |
198 | 2024-09-06 09:53:46 | biassedly | 1 | 81242 | 2 | 10.300 | 7887.6 |
197 | 2024-08-07 22:59:52 | biassedly | 3 | 148641 | 16 | 32.550 | 4566.5 |
196 | 2024-08-07 22:59:46 | biassedly | 2 | 121436 | 5 | 16.376 | 7415.5 |
195 | 2024-08-07 22:59:26 | biassedly | 1 | 81242 | 2 | 7.393 | 10989.0 |
194 | 2024-08-02 05:55:09 | biassedly | 1 | 81242 | 2 | 4.360 | 18633.5 |
193 | 2024-07-17 16:13:14 | biassedly | 3 | 148641 | 16 | 27.656 | 5374.6 |
192 | 2024-07-17 16:13:00 | biassedly | 2 | 121436 | 5 | 19.283 | 6297.6 |
191 | 2024-07-17 16:11:31 | biassedly | 1 | 81242 | 2 | 3.110 | 26122.8 |
190 | 2024-07-15 04:37:38 | biassedly | 4 | 165329 | 168 | 47.223 | 3501.0 |
189 | 2024-07-14 21:06:00 | biassedly | 4 | 165329 | 168 | 54.876 | 3012.8 |
188 | 2024-07-14 03:10:28 | biassedly | 4 | 165329 | 168 | 62.613 | 2640.5 |
187 | 2024-07-13 11:24:22 | biassedly | 3 | 148641 | 16 | 27.736 | 5359.1 |
186 | 2024-07-13 11:23:15 | biassedly | 3 | 148641 | 16 | 48.160 | 3086.4 |
185 | 2024-07-13 11:23:14 | biassedly | 2 | 121436 | 5 | 13.393 | 9067.1 |
184 | 2024-07-12 18:09:03 | biassedly | 4 | 165329 | 168 | 62.673 | 2638.0 |
183 | 2024-07-12 18:09:18 | biassedly | 3 | 148641 | 16 | 36.766 | 4042.9 |
182 | 2024-07-12 18:09:16 | biassedly | 2 | 121436 | 5 | 16.516 | 7352.6 |
181 | 2024-06-22 23:07:00 | biassedly | 1 | 81242 | 2 | 7.423 | 10944.6 |
180 | 2024-06-21 10:20:38 | biassedly | 3 | 148641 | 16 | 24.800 | 5993.6 |
179 | 2024-06-06 08:13:01 | biassedly | 3 | 148641 | 16 | 33.926 | 4381.3 |
178 | 2024-06-02 13:03:12 | biassedly | 3 | 148641 | 16 | 13.283 | 11190.3 |
177 | 2024-06-02 13:03:16 | biassedly | 2 | 121436 | 5 | 6.643 | 18280.3 |
176 | 2024-06-02 12:59:43 | biassedly | 1 | 81242 | 2 | 1.346 | 60358.1 |
175 | 2024-06-02 00:58:51 | biassedly | 4 | 165329 | 168 | 19.220 | 8601.9 |
174 | 2024-06-01 10:40:56 | biassedly | 4 | 165329 | 168 | 55.940 | 2955.5 |
173 | 2024-06-01 07:30:40 | biassedly | 1 | 81242 | 2 | 3.660 | 22197.3 |
172 | 2024-06-01 07:00:58 | biassedly | 4 | 165329 | 168 | 18.300 | 9034.4 |
171 | 2024-05-15 10:00:46 | biassedly | 2 | 121436 | 5 | 8.673 | 14001.6 |
170 | 2024-05-14 05:34:45 | biassedly | 1 | 81242 | 2 | 2.750 | 29542.5 |
169 | 2024-05-14 03:18:07 | biassedly | 1 | 81242 | 2 | 3.076 | 26411.6 |
168 | 2024-05-06 02:25:48 | biassedly | 1 | 81242 | 2 | 1.530 | 53099.3 |
167 | 2024-04-29 01:09:28 | biassedly | 1 | 81242 | 2 | 1.530 | 53099.3 |
166 | 2024-04-26 22:42:32 | biassedly | 4 | 165329 | 168 | 44.923 | 3680.3 |
165 | 2024-04-26 10:06:39 | biassedly | 1 | 81242 | 2 | 3.813 | 21306.6 |
164 | 2024-04-25 15:32:24 | biassedly | 1 | 81242 | 2 | 1.390 | 58447.5 |
163 | 2024-04-25 11:40:44 | biassedly | 3 | 148641 | 16 | 16.580 | 8965.1 |
162 | 2024-04-25 11:40:33 | biassedly | 4 | 165329 | 168 | 24.440 | 6764.7 |
161 | 2024-04-25 11:40:30 | biassedly | 2 | 121436 | 5 | 9.703 | 12515.3 |