History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"mislearns"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 491 | 2025-11-12 00:02:52 | mislearns | 4 | 165329 | 431 | 13.216 | 12509.8 |
| 490 | 2025-10-31 20:07:45 | mislearns | 3 | 148641 | 46 | 18.046 | 8236.8 |
| 489 | 2025-10-26 03:57:48 | mislearns | 3 | 148641 | 46 | 6.643 | 22375.6 |
| 488 | 2025-10-25 12:21:05 | mislearns | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 487 | 2025-10-24 20:04:32 | mislearns | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 486 | 2025-10-23 16:40:26 | mislearns | 1 | 81242 | 3 | 4.373 | 18578.1 |
| 485 | 2025-10-22 21:14:09 | mislearns | 1 | 81242 | 3 | 4.940 | 16445.7 |
| 484 | 2025-10-20 05:33:39 | mislearns | 3 | 148641 | 46 | 37.016 | 4015.6 |
| 483 | 2025-10-20 05:33:28 | mislearns | 3 | 148641 | 46 | 35.080 | 4237.2 |
| 482 | 2025-10-20 05:33:20 | mislearns | 3 | 148641 | 46 | 31.720 | 4686.0 |
| 481 | 2025-10-20 05:33:10 | mislearns | 3 | 148641 | 46 | 40.393 | 3679.9 |
| 480 | 2025-10-18 12:38:27 | mislearns | 3 | 148641 | 46 | 7.610 | 19532.3 |
| 479 | 2025-10-13 09:49:18 | mislearns | 3 | 148641 | 46 | 6.373 | 23323.6 |
| 478 | 2025-10-08 04:51:11 | mislearns | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 477 | 2025-10-06 17:37:54 | mislearns | 4 | 165329 | 431 | 13.203 | 12522.1 |
| 476 | 2025-10-04 07:00:29 | mislearns | 1 | 81242 | 3 | 1.313 | 61875.1 |
| 475 | 2025-09-29 06:14:38 | mislearns | 3 | 148641 | 46 | 7.313 | 20325.6 |
| 474 | 2025-09-27 19:24:23 | mislearns | 1 | 81242 | 3 | 1.546 | 52549.8 |
| 473 | 2025-09-26 21:35:42 | mislearns | 3 | 148641 | 46 | 7.250 | 20502.2 |
| 472 | 2025-09-21 18:00:19 | mislearns | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 471 | 2025-09-17 10:25:14 | mislearns | 4 | 165329 | 431 | 12.796 | 12920.4 |
| 470 | 2025-09-17 08:22:35 | mislearns | 4 | 165329 | 431 | 12.500 | 13226.3 |
| 469 | 2025-09-14 02:32:20 | mislearns | 4 | 165329 | 431 | 10.876 | 15201.3 |
| 468 | 2025-09-10 18:46:35 | mislearns | 4 | 165329 | 431 | 12.143 | 13615.2 |
| 467 | 2025-09-07 15:49:01 | mislearns | 4 | 165329 | 431 | 13.173 | 12550.6 |
| 466 | 2025-09-07 11:47:57 | mislearns | 4 | 165329 | 431 | 11.766 | 14051.4 |
| 465 | 2025-09-04 04:37:17 | mislearns | 4 | 165329 | 431 | 11.876 | 13921.3 |
| 464 | 2025-08-31 21:24:16 | mislearns | 4 | 165329 | 431 | 10.860 | 15223.7 |
| 463 | 2025-08-31 11:43:32 | mislearns | 3 | 148641 | 46 | 6.343 | 23433.9 |
| 462 | 2025-08-28 13:47:08 | mislearns | 4 | 165329 | 431 | 12.076 | 13690.7 |
| 461 | 2025-08-28 07:42:15 | mislearns | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 460 | 2025-08-24 09:09:19 | mislearns | 3 | 148641 | 46 | 21.266 | 6989.6 |
| 459 | 2025-08-23 13:39:34 | mislearns | 1 | 81242 | 3 | 7.533 | 10784.8 |
| 458 | 2025-08-21 21:59:38 | mislearns | 4 | 165329 | 431 | 14.800 | 11170.9 |
| 457 | 2025-08-18 13:12:26 | mislearns | 4 | 165329 | 431 | 11.203 | 14757.6 |
| 456 | 2025-08-13 17:36:20 | mislearns | 4 | 165329 | 431 | 56.406 | 2931.1 |
| 455 | 2025-08-13 17:36:17 | mislearns | 4 | 165329 | 431 | 51.503 | 3210.1 |
| 454 | 2025-08-13 08:04:34 | mislearns | 1 | 81242 | 3 | 6.893 | 11786.2 |
| 453 | 2025-08-12 20:43:16 | mislearns | 4 | 165329 | 431 | 53.643 | 3082.0 |
| 452 | 2025-08-12 15:50:52 | mislearns | 4 | 165329 | 431 | 35.860 | 4610.4 |
| 451 | 2025-08-10 14:58:28 | mislearns | 4 | 165329 | 431 | 28.770 | 5746.6 |
| 450 | 2025-08-08 11:02:30 | mislearns | 4 | 165329 | 431 | 12.813 | 12903.2 |
| 449 | 2025-08-05 06:45:46 | mislearns | 4 | 165329 | 431 | 30.346 | 5448.1 |
| 448 | 2025-08-02 16:53:32 | mislearns | 3 | 148641 | 46 | 28.206 | 5269.8 |
| 447 | 2025-07-31 07:42:03 | mislearns | 3 | 148641 | 46 | 46.016 | 3230.2 |
| 446 | 2025-07-26 05:41:00 | mislearns | 1 | 81242 | 3 | 4.610 | 17623.0 |
| 445 | 2025-07-26 01:14:17 | mislearns | 4 | 165329 | 431 | 33.970 | 4866.9 |
| 444 | 2025-07-24 11:38:27 | mislearns | 1 | 81242 | 3 | 3.530 | 23014.7 |
| 443 | 2025-07-23 17:26:11 | mislearns | 1 | 81242 | 3 | 5.660 | 14353.7 |
| 442 | 2025-07-20 11:24:26 | mislearns | 3 | 148641 | 46 | 7.393 | 20105.6 |
| 441 | 2025-07-20 00:34:02 | mislearns | 1 | 81242 | 3 | 3.546 | 22910.9 |
| 440 | 2025-07-19 12:07:47 | mislearns | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 439 | 2025-07-19 09:36:15 | mislearns | 4 | 165329 | 431 | 26.780 | 6173.6 |
| 438 | 2025-07-17 04:41:06 | mislearns | 2 | 121436 | 7 | 9.220 | 13170.9 |
| 437 | 2025-07-16 01:40:19 | mislearns | 4 | 165329 | 431 | 18.000 | 9184.9 |
| 436 | 2025-07-13 14:15:22 | mislearns | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 435 | 2025-07-13 00:20:09 | mislearns | 1 | 81242 | 3 | 2.283 | 35585.6 |
| 434 | 2025-07-12 17:39:19 | mislearns | 4 | 165329 | 431 | 25.863 | 6392.5 |
| 433 | 2025-07-12 06:02:17 | mislearns | 3 | 148641 | 46 | 6.750 | 22020.9 |
| 432 | 2025-07-11 15:33:03 | mislearns | 3 | 148641 | 46 | 36.830 | 4035.9 |
| 431 | 2025-07-09 14:51:59 | mislearns | 3 | 148641 | 46 | 24.970 | 5952.8 |
| 430 | 2025-07-09 09:36:36 | mislearns | 4 | 165329 | 431 | 15.453 | 10698.8 |
| 429 | 2025-07-08 10:31:08 | mislearns | 3 | 148641 | 46 | 19.360 | 7677.7 |
| 428 | 2025-07-06 07:51:32 | mislearns | 1 | 81242 | 3 | 2.653 | 30622.7 |
| 427 | 2025-07-06 01:29:11 | mislearns | 3 | 148641 | 46 | 7.063 | 21045.0 |
| 426 | 2025-07-02 15:28:38 | mislearns | 3 | 148641 | 46 | 41.330 | 3596.4 |
| 425 | 2025-07-02 14:32:06 | mislearns | 3 | 148641 | 46 | 41.220 | 3606.0 |
| 424 | 2025-07-02 07:57:42 | mislearns | 3 | 148641 | 46 | 31.126 | 4775.5 |
| 423 | 2025-06-30 20:21:33 | mislearns | 4 | 165329 | 431 | 50.766 | 3256.7 |
| 422 | 2025-06-30 10:01:07 | mislearns | 4 | 165329 | 431 | 59.626 | 2772.8 |
| 421 | 2025-06-29 17:51:08 | mislearns | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 420 | 2025-06-29 08:43:19 | mislearns | 4 | 165329 | 431 | 13.190 | 12534.4 |
| 419 | 2025-06-21 15:12:24 | mislearns | 1 | 81242 | 3 | 5.546 | 14648.8 |
| 418 | 2025-06-20 20:55:46 | mislearns | 1 | 81242 | 3 | 7.423 | 10944.6 |
| 417 | 2025-06-12 09:04:06 | mislearns | 1 | 81242 | 3 | 7.250 | 11205.8 |
| 416 | 2025-06-06 18:41:59 | mislearns | 2 | 121436 | 7 | 3.453 | 35168.3 |
| 415 | 2025-06-01 08:39:01 | mislearns | 1 | 81242 | 3 | 6.656 | 12205.8 |
| 414 | 2025-05-30 07:53:56 | mislearns | 1 | 81242 | 3 | 6.656 | 12205.8 |
| 413 | 2025-05-29 08:39:34 | mislearns | 4 | 165329 | 431 | 56.910 | 2905.1 |
| 412 | 2025-05-27 07:16:50 | mislearns | 2 | 121436 | 7 | 10.766 | 11279.6 |
| 411 | 2025-05-27 00:13:04 | mislearns | 4 | 165329 | 431 | 63.863 | 2588.8 |
| 410 | 2025-05-25 20:35:26 | mislearns | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 409 | 2025-05-25 16:39:18 | mislearns | 3 | 148641 | 46 | 6.966 | 21338.1 |
| 408 | 2025-05-24 02:25:34 | mislearns | 1 | 81242 | 3 | 3.456 | 23507.5 |
| 407 | 2025-05-22 10:12:51 | mislearns | 3 | 148641 | 46 | 36.376 | 4086.2 |
| 406 | 2025-05-20 11:22:32 | mislearns | 3 | 148641 | 46 | 36.220 | 4103.8 |
| 405 | 2025-05-20 00:57:03 | mislearns | 2 | 121436 | 7 | 16.953 | 7163.1 |
| 404 | 2025-05-19 16:05:51 | mislearns | 1 | 81242 | 3 | 1.513 | 53696.0 |
| 403 | 2025-05-16 10:23:42 | mislearns | 1 | 81242 | 3 | 3.593 | 22611.2 |
| 402 | 2025-05-15 08:58:38 | mislearns | 1 | 81242 | 3 | 1.563 | 51978.2 |
| 401 | 2025-05-15 06:03:43 | mislearns | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 400 | 2025-05-14 09:14:56 | mislearns | 4 | 165329 | 431 | 61.810 | 2674.8 |
| 399 | 2025-05-10 21:11:00 | mislearns | 4 | 165329 | 431 | 53.313 | 3101.1 |
| 398 | 2025-05-10 18:19:06 | mislearns | 4 | 165329 | 431 | 74.986 | 2204.8 |
| 397 | 2025-05-08 20:35:15 | mislearns | 4 | 165329 | 431 | 61.813 | 2674.7 |
| 396 | 2025-05-08 18:21:25 | mislearns | 2 | 121436 | 7 | 17.890 | 6787.9 |
| 395 | 2025-04-30 09:09:14 | mislearns | 1 | 81242 | 3 | 8.593 | 9454.4 |
| 394 | 2025-04-24 21:16:28 | mislearns | 3 | 148641 | 46 | 7.470 | 19898.4 |
| 393 | 2025-04-22 21:16:41 | mislearns | 2 | 121436 | 7 | 19.593 | 6197.9 |
| 392 | 2025-04-22 11:49:05 | mislearns | 1 | 81242 | 3 | 1.483 | 54782.2 |