Vod's dumped merits actually contributed to latest spike in merit-time-series plot (daily), but I don't think it create serious things in the forum.
Vod's merit dumps contributed to 1150 merits distributed in the day with #475 in the following dataset. There are few outliers in merit history of the forum so far, but in general they have not seriously affected or damaged the forum, so it's time to stop discussion about that. Sometimes, people have uncontrolled feelings (emotional-spikes), then everything will be back to normal, and all things will become fine again.
Converted intra-day merits for days in 2019.
. list id merit date day month2 year week month dofw if year == 2019
+------------------------------------------------------------------------------+
| id merit date day month2 year week month dofw |
|------------------------------------------------------------------------------|
343. | 343 603 01jan2019 1 1 2019 2019w1 2019m1 Tuesday |
344. | 344 526 02jan2019 2 1 2019 2019w1 2019m1 Wednesday |
345. | 345 394 03jan2019 3 1 2019 2019w1 2019m1 Thursday |
346. | 346 1082 04jan2019 4 1 2019 2019w1 2019m1 Friday |
347. | 347 835 05jan2019 5 1 2019 2019w1 2019m1 Saturday |
|------------------------------------------------------------------------------|
348. | 348 783 06jan2019 6 1 2019 2019w1 2019m1 Sunday |
349. | 349 570 07jan2019 7 1 2019 2019w1 2019m1 Monday |
350. | 350 782 08jan2019 8 1 2019 2019w2 2019m1 Tuesday |
351. | 351 1161 09jan2019 9 1 2019 2019w2 2019m1 Wednesday |
352. | 352 987 10jan2019 10 1 2019 2019w2 2019m1 Thursday |
|------------------------------------------------------------------------------|
353. | 353 878 11jan2019 11 1 2019 2019w2 2019m1 Friday |
354. | 354 711 12jan2019 12 1 2019 2019w2 2019m1 Saturday |
355. | 355 978 13jan2019 13 1 2019 2019w2 2019m1 Sunday |
356. | 356 1127 14jan2019 14 1 2019 2019w2 2019m1 Monday |
357. | 357 813 15jan2019 15 1 2019 2019w3 2019m1 Tuesday |
|------------------------------------------------------------------------------|
358. | 358 880 16jan2019 16 1 2019 2019w3 2019m1 Wednesday |
359. | 359 1018 17jan2019 17 1 2019 2019w3 2019m1 Thursday |
360. | 360 611 18jan2019 18 1 2019 2019w3 2019m1 Friday |
361. | 361 643 19jan2019 19 1 2019 2019w3 2019m1 Saturday |
362. | 362 658 20jan2019 20 1 2019 2019w3 2019m1 Sunday |
|------------------------------------------------------------------------------|
363. | 363 683 21jan2019 21 1 2019 2019w3 2019m1 Monday |
364. | 364 618 22jan2019 22 1 2019 2019w4 2019m1 Tuesday |
365. | 365 735 23jan2019 23 1 2019 2019w4 2019m1 Wednesday |
366. | 366 715 24jan2019 24 1 2019 2019w4 2019m1 Thursday |
367. | 367 615 25jan2019 25 1 2019 2019w4 2019m1 Friday |
|------------------------------------------------------------------------------|
368. | 368 587 26jan2019 26 1 2019 2019w4 2019m1 Saturday |
369. | 369 655 27jan2019 27 1 2019 2019w4 2019m1 Sunday |
370. | 370 734 28jan2019 28 1 2019 2019w4 2019m1 Monday |
371. | 371 612 29jan2019 29 1 2019 2019w5 2019m1 Tuesday |
372. | 372 510 30jan2019 30 1 2019 2019w5 2019m1 Wednesday |
|------------------------------------------------------------------------------|
373. | 373 450 31jan2019 31 1 2019 2019w5 2019m1 Thursday |
374. | 374 595 01feb2019 1 2 2019 2019w5 2019m2 Friday |
375. | 375 940 02feb2019 2 2 2019 2019w5 2019m2 Saturday |
376. | 376 571 03feb2019 3 2 2019 2019w5 2019m2 Sunday |
377. | 377 796 04feb2019 4 2 2019 2019w5 2019m2 Monday |
|------------------------------------------------------------------------------|
378. | 378 776 05feb2019 5 2 2019 2019w6 2019m2 Tuesday |
379. | 379 559 06feb2019 6 2 2019 2019w6 2019m2 Wednesday |
380. | 380 548 07feb2019 7 2 2019 2019w6 2019m2 Thursday |
381. | 381 611 08feb2019 8 2 2019 2019w6 2019m2 Friday |
382. | 382 623 09feb2019 9 2 2019 2019w6 2019m2 Saturday |
|------------------------------------------------------------------------------|
383. | 383 559 10feb2019 10 2 2019 2019w6 2019m2 Sunday |
384. | 384 642 11feb2019 11 2 2019 2019w6 2019m2 Monday |
385. | 385 585 12feb2019 12 2 2019 2019w7 2019m2 Tuesday |
386. | 386 671 13feb2019 13 2 2019 2019w7 2019m2 Wednesday |
387. | 387 649 14feb2019 14 2 2019 2019w7 2019m2 Thursday |
|------------------------------------------------------------------------------|
388. | 388 607 15feb2019 15 2 2019 2019w7 2019m2 Friday |
389. | 389 523 16feb2019 16 2 2019 2019w7 2019m2 Saturday |
390. | 390 607 17feb2019 17 2 2019 2019w7 2019m2 Sunday |
391. | 391 565 18feb2019 18 2 2019 2019w7 2019m2 Monday |
392. | 392 637 19feb2019 19 2 2019 2019w8 2019m2 Tuesday |
|------------------------------------------------------------------------------|
393. | 393 696 20feb2019 20 2 2019 2019w8 2019m2 Wednesday |
394. | 394 504 21feb2019 21 2 2019 2019w8 2019m2 Thursday |
395. | 395 509 22feb2019 22 2 2019 2019w8 2019m2 Friday |
396. | 396 657 23feb2019 23 2 2019 2019w8 2019m2 Saturday |
397. | 397 608 24feb2019 24 2 2019 2019w8 2019m2 Sunday |
|------------------------------------------------------------------------------|
398. | 398 896 25feb2019 25 2 2019 2019w8 2019m2 Monday |
399. | 399 736 26feb2019 26 2 2019 2019w9 2019m2 Tuesday |
400. | 400 553 27feb2019 27 2 2019 2019w9 2019m2 Wednesday |
401. | 401 707 28feb2019 28 2 2019 2019w9 2019m2 Thursday |
402. | 402 508 01mar2019 1 3 2019 2019w9 2019m3 Friday |
|------------------------------------------------------------------------------|
403. | 403 412 02mar2019 2 3 2019 2019w9 2019m3 Saturday |
404. | 404 1001 03mar2019 3 3 2019 2019w9 2019m3 Sunday |
405. | 405 708 04mar2019 4 3 2019 2019w9 2019m3 Monday |
406. | 406 677 05mar2019 5 3 2019 2019w10 2019m3 Tuesday |
407. | 407 787 06mar2019 6 3 2019 2019w10 2019m3 Wednesday |
|------------------------------------------------------------------------------|
408. | 408 711 07mar2019 7 3 2019 2019w10 2019m3 Thursday |
409. | 409 712 08mar2019 8 3 2019 2019w10 2019m3 Friday |
410. | 410 723 09mar2019 9 3 2019 2019w10 2019m3 Saturday |
411. | 411 656 10mar2019 10 3 2019 2019w10 2019m3 Sunday |
412. | 412 635 11mar2019 11 3 2019 2019w10 2019m3 Monday |
|------------------------------------------------------------------------------|
413. | 413 680 12mar2019 12 3 2019 2019w11 2019m3 Tuesday |
414. | 414 687 13mar2019 13 3 2019 2019w11 2019m3 Wednesday |
415. | 415 804 14mar2019 14 3 2019 2019w11 2019m3 Thursday |
416. | 416 580 15mar2019 15 3 2019 2019w11 2019m3 Friday |
417. | 417 482 16mar2019 16 3 2019 2019w11 2019m3 Saturday |
|------------------------------------------------------------------------------|
418. | 418 428 17mar2019 17 3 2019 2019w11 2019m3 Sunday |
419. | 419 657 18mar2019 18 3 2019 2019w11 2019m3 Monday |
420. | 420 758 19mar2019 19 3 2019 2019w12 2019m3 Tuesday |
421. | 421 651 20mar2019 20 3 2019 2019w12 2019m3 Wednesday |
422. | 422 720 21mar2019 21 3 2019 2019w12 2019m3 Thursday |
|------------------------------------------------------------------------------|
423. | 423 674 22mar2019 22 3 2019 2019w12 2019m3 Friday |
424. | 424 625 23mar2019 23 3 2019 2019w12 2019m3 Saturday |
425. | 425 594 24mar2019 24 3 2019 2019w12 2019m3 Sunday |
426. | 426 576 25mar2019 25 3 2019 2019w12 2019m3 Monday |
427. | 427 726 26mar2019 26 3 2019 2019w13 2019m3 Tuesday |
|------------------------------------------------------------------------------|
428. | 428 1249 27mar2019 27 3 2019 2019w13 2019m3 Wednesday |
429. | 429 927 28mar2019 28 3 2019 2019w13 2019m3 Thursday |
430. | 430 725 29mar2019 29 3 2019 2019w13 2019m3 Friday |
431. | 431 655 30mar2019 30 3 2019 2019w13 2019m3 Saturday |
432. | 432 851 31mar2019 31 3 2019 2019w13 2019m3 Sunday |
|------------------------------------------------------------------------------|
433. | 433 987 01apr2019 1 4 2019 2019w13 2019m4 Monday |
434. | 434 700 02apr2019 2 4 2019 2019w14 2019m4 Tuesday |
435. | 435 616 03apr2019 3 4 2019 2019w14 2019m4 Wednesday |
436. | 436 532 04apr2019 4 4 2019 2019w14 2019m4 Thursday |
437. | 437 516 05apr2019 5 4 2019 2019w14 2019m4 Friday |
|------------------------------------------------------------------------------|
438. | 438 618 06apr2019 6 4 2019 2019w14 2019m4 Saturday |
439. | 439 728 07apr2019 7 4 2019 2019w14 2019m4 Sunday |
440. | 440 708 08apr2019 8 4 2019 2019w14 2019m4 Monday |
441. | 441 707 09apr2019 9 4 2019 2019w15 2019m4 Tuesday |
442. | 442 741 10apr2019 10 4 2019 2019w15 2019m4 Wednesday |
|------------------------------------------------------------------------------|
443. | 443 907 11apr2019 11 4 2019 2019w15 2019m4 Thursday |
444. | 444 612 12apr2019 12 4 2019 2019w15 2019m4 Friday |
445. | 445 787 13apr2019 13 4 2019 2019w15 2019m4 Saturday |
446. | 446 768 14apr2019 14 4 2019 2019w15 2019m4 Sunday |
447. | 447 737 15apr2019 15 4 2019 2019w15 2019m4 Monday |
|------------------------------------------------------------------------------|
448. | 448 677 16apr2019 16 4 2019 2019w16 2019m4 Tuesday |
449. | 449 628 17apr2019 17 4 2019 2019w16 2019m4 Wednesday |
450. | 450 784 18apr2019 18 4 2019 2019w16 2019m4 Thursday |
451. | 451 608 19apr2019 19 4 2019 2019w16 2019m4 Friday |
452. | 452 661 20apr2019 20 4 2019 2019w16 2019m4 Saturday |
|------------------------------------------------------------------------------|
453. | 453 776 21apr2019 21 4 2019 2019w16 2019m4 Sunday |
454. | 454 546 22apr2019 22 4 2019 2019w16 2019m4 Monday |
455. | 455 524 23apr2019 23 4 2019 2019w17 2019m4 Tuesday |
456. | 456 534 24apr2019 24 4 2019 2019w17 2019m4 Wednesday |
457. | 457 929 25apr2019 25 4 2019 2019w17 2019m4 Thursday |
|------------------------------------------------------------------------------|
458. | 458 650 26apr2019 26 4 2019 2019w17 2019m4 Friday |
459. | 459 486 27apr2019 27 4 2019 2019w17 2019m4 Saturday |
460. | 460 597 28apr2019 28 4 2019 2019w17 2019m4 Sunday |
461. | 461 730 29apr2019 29 4 2019 2019w17 2019m4 Monday |
462. | 462 623 30apr2019 30 4 2019 2019w18 2019m4 Tuesday |
|------------------------------------------------------------------------------|
463. | 463 588 01may2019 1 5 2019 2019w18 2019m5 Wednesday |
464. | 464 548 02may2019 2 5 2019 2019w18 2019m5 Thursday |
465. | 465 522 03may2019 3 5 2019 2019w18 2019m5 Friday |
466. | 466 918 04may2019 4 5 2019 2019w18 2019m5 Saturday |
467. | 467 863 05may2019 5 5 2019 2019w18 2019m5 Sunday |
|------------------------------------------------------------------------------|
468. | 468 694 06may2019 6 5 2019 2019w18 2019m5 Monday |
469. | 469 723 07may2019 7 5 2019 2019w19 2019m5 Tuesday |
470. | 470 754 08may2019 8 5 2019 2019w19 2019m5 Wednesday |
471. | 471 891 09may2019 9 5 2019 2019w19 2019m5 Thursday |
472. | 472 701 10may2019 10 5 2019 2019w19 2019m5 Friday |
|------------------------------------------------------------------------------|
473. | 473 592 11may2019 11 5 2019 2019w19 2019m5 Saturday |
474. | 474 623 12may2019 12 5 2019 2019w19 2019m5 Sunday |
475. | 475 1150 13may2019 13 5 2019 2019w19 2019m5 Monday |
476. | 476 912 14may2019 14 5 2019 2019w20 2019m5 Tuesday |
477. | 477 844 15may2019 15 5 2019 2019w20 2019m5 Wednesday |
+------------------------------------------------------------------------------+
For days in 2018, please get it
thereThere are 44 outliers in full dataset, plus 28 outliers in truncated dataset.
There are
44 outliers in full dataset, in total.
Those days are:
. list id merit date if (merit >= 1167 | merit <= 155) & merit != .
+-------------------------+
| id merit date |
|-------------------------|
1. | 3 4493 26jan2018 |
2. | 4 3489 27jan2018 |
3. | 5 3188 28jan2018 |
4. | 6 3799 29jan2018 |
5. | 7 4192 30jan2018 |
|-------------------------|
6. | 8 2820 31jan2018 |
7. | 9 2545 01feb2018 |
8. | 10 2568 02feb2018 |
9. | 11 1867 03feb2018 |
10. | 12 2167 04feb2018 |
|-------------------------|
11. | 13 2077 05feb2018 |
12. | 14 2308 06feb2018 |
13. | 15 2141 07feb2018 |
14. | 16 2141 08feb2018 |
15. | 17 1448 09feb2018 |
|-------------------------|
16. | 18 1747 10feb2018 |
17. | 19 1442 11feb2018 |
18. | 20 1331 12feb2018 |
19. | 21 1579 13feb2018 |
20. | 22 2513 14feb2018 |
|-------------------------|
21. | 23 1991 15feb2018 |
22. | 24 1411 16feb2018 |
23. | 25 1608 17feb2018 |
24. | 26 1289 18feb2018 |
25. | 27 1403 19feb2018 |
|-------------------------|
26. | 28 1169 20feb2018 |
27. | 29 1266 21feb2018 |
28. | 30 1279 22feb2018 |
30. | 32 1409 24feb2018 |
31. | 33 1186 25feb2018 |
|-------------------------|
32. | 34 1382 26feb2018 |
33. | 35 1326 27feb2018 |
35. | 37 1333 01mar2018 |
36. | 38 1696 02mar2018 |
39. | 41 1245 05mar2018 |
|-------------------------|
46. | 48 1354 12mar2018 |
54. | 56 1322 20mar2018 |
55. | 57 1227 21mar2018 |
66. | 68 1233 01apr2018 |
234. | 236 2463 16sep2018 |
|-------------------------|
235. | 237 1862 17sep2018 |
236. | 238 1294 18sep2018 |
237. | 239 1268 19sep2018 |
426. | 428 1249 27mar2019 |
+-------------------------+
There are
28 outliers in total, only
four of them occured in 2019, on 09/1/2019, 14/01/2019, 27/3/2019, and
13/5/2019 (newest outlier) (as noted by @LoyceV in previous post) at 1161, 1127, 1249, and
1150, respectively.
List of those 28 outliers in truncated dataset
. list id merit date if (merit >= 1108 | merit <= 184) & merit != .
+-------------------------+
| id merit date |
|-------------------------|
1. | 27 1403 19feb2018 |
2. | 28 1169 20feb2018 |
3. | 29 1266 21feb2018 |
4. | 30 1279 22feb2018 |
6. | 32 1409 24feb2018 |
|-------------------------|
7. | 33 1186 25feb2018 |
8. | 34 1382 26feb2018 |
9. | 35 1326 27feb2018 |
11. | 37 1333 01mar2018 |
12. | 38 1696 02mar2018 |
|-------------------------|
15. | 41 1245 05mar2018 |
17. | 43 1109 07mar2018 |
22. | 48 1354 12mar2018 |
24. | 50 1159 14mar2018 |
25. | 51 1130 15mar2018 |
|-------------------------|
30. | 56 1322 20mar2018 |
31. | 57 1227 21mar2018 |
42. | 68 1233 01apr2018 |
43. | 69 1146 02apr2018 |
127. | 153 1138 25jun2018 |
|-------------------------|
210. | 236 2463 16sep2018 |
211. | 237 1862 17sep2018 |
212. | 238 1294 18sep2018 |
213. | 239 1268 19sep2018 |
325. | 351 1161 09jan2019 |
|-------------------------|
330. | 356 1127 14jan2019 |
402. | 428 1249 27mar2019 |
449. | 475 1150 13may2019 |
+-------------------------+