Vod is abusing his merit source position to give 50 merit to his supporters

[mu_enrico]

before Vod removed from merit source since he wanted too, i wanna know how it's feel having a shower which full of merits given by him  

It breaks my heart by the way to see so much drama in this forum. Why can't we just chill, talk shit, enjoy the laughter like in any other mainstream forum?

[1715076660]

1715076660

[1715076660]

1715076660

[1715076660]

1715076660

[Steamtyme]

Wasn't condemning you. Like I said it's been a long time and having gone back can see why I was confused.

It was your removal from DT due to the feedback left. Seems at the time people had a much lower threshold for what they deemed appropriate use of DT feedback. At the time I may have equated that with "staff".

I also haven't looked back to confirm if Armis was a scammer, just noticed some feedback to that effect which probably gave me the impression the first time.

[jademaxsuy]

It is the previlige of a merit source to give all the smerits to a certain trusted user as theymos has allowed this so there is no reason for you OP to get jealous on the merits being rewarded to a certain user that has credibility to spread the merits.

This why there are merit source applications in the forum and I think it could be good to accept them then limit the merit allocation for every merit source or depending on jlhow ferequent and trusted a merit source could be. So the allocation of merits will still be the same but the number of merit source has to be increased to look for quality posts.

[NeuroticFish]

It breaks my heart by the way to see so much drama in this forum. Why can't we just chill, talk shit, enjoy the laughter like in any other mainstream forum?

I guess that it's a matter of choice.

I think that Vod simply enjoys to annoy a couple of people around here. They can fight or ignore, again, their choice.
I find all this more like 'popcorn time' than heartbreaking, sorry.

[Mpamaegbu]

Oh, we should Vod the merits because someone thinks them nasty?

Come on guys, everything we do in life is subjective. Peeps must always complain. It's the unending circle of man's life - not even God has been able to satisfy mankind.

[CryptopreneurBrainboss]

To show how powerful vod was, it took theymos an appointment of 8 new members to fill in the shoes of vod as merit source now imagine how many new DT members it'll take if he gets removed from DT. No doubt the dude is good

/Humour

[LoyceV]

To show how powerful vod was, it took theymos an appointment of 8 new members to fill in the shoes of vod as merit

On a serious note: new Merit sources start small, and can go up in amount if they do a good job. Vod said he didn't empty his source most of the time. The total amount sources have didn't change much, so one big source got replaced by 8 smaller ones.

[Jet Cash]

I like Vod, and I think it is a shame he got mixed up in all the reputation stuff.

The only good thing about all the reputation bitching is that you get to know who to trust, and who is a worthwhile member. This seems to be independent of the trust system.

[LFC_Bitcoin]

Vod will be back, I have no doubt about that. He was getting into needless arguments & battles with other members (not all his fault I will add).

It’s probably good for him to take some time out, recharge his batteries & come back refreshed & away from negativity.

I like him, he’s good for this place. Sometimes you just need a change of scenery & time to chill.

Come back when you’re ready Vod!

[tranthidung]

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.

Truncated dataset:

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.

Code:

. 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 there

There are  44 outliers in full dataset, plus 28 outliers in truncated dataset.

There are 44 outliers in full dataset, in total.
Those days are:

Code:

. 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

Code:

. 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 |
     +-------------------------+