If you guys have been here (the thread) for too long, please help me because I find something strange that the huge time gaps between the first page and the second page. The gap is about 3 years, 2014 to 2017. What happened within the period? Did the forum not have signature during the 3-year period?
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Ok. I updated OP with links to newest updates for 4 clubs. If someone don't read OP, they don't care about the thread so they certainly miss given information or updates. Notes:
- Updates will be published with new posts, not in the OP
- Links to newest updates will be listed in OP.
Links to 4 clubs' newest updates 01may2020 02:51:51 (GMT time)- 500+ earned merits:
- 250+ earned merits:
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Update 2020w17, 01may2020 02:51:51 (GMT time)* last 3 days belong to 2020w18.For all users:- Number of users who only earned at least 1 merit: 19259
- Number of users who only sent at least 1 merit: 7371
- Number of users who earned AND sent at least 1 merit: 14658
- Number of users who earned OR sent at least 1 merit: 41288
- Total Autobanned users: 141674
- Total Nuked users: 64638
- Total earned merits (for all): 576797
- Total sent merits (for all): 615297
For legit users only:- Total legit users: 12142
- Total earned merits: 541578
- Total sent merits: 587223
A summary table (for legit users only) | | | | | Earned merits | | | | | | Sent merits | | | Groups | | | Freq. | Percent | Total earned | Percent | | | Freq. | Percent | Total sent | Percent | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ | 1-10 | | | 7506 | 61.8 | 34929 | 6.4 | | | 8608 | 70.9 | 30277 | 5.2 | 11-100 | | | 3692 | 30.4 | 109605 | 20.2 | | | 2780 | 22.9 | 94266 | 16.1 | 101-250 | | | 595 | 4.2 | 77580 | 14.3 | | | 451 | 3.7 | 71065 | 12.1 | 251-500 | | | 207 | 1.7 | 70626 | 13 | | | 164 | 1.4 | 57582 | 9.8 | 501-1000 | | | 148 | 1.2 | 105615 | 19.5 | | | 65 | 0.5 | 45119 | 7.7 | 1001+ | | | 84 | 0.7 | 143223 | 26.4 | | | 74 | 0.6 | 288914 | 49.2 | Total | | | 12142 | 100 | 541578 | 100 | | | 12142 | 100 | 587223 | 100 | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ |
Bar charts:Note:- Data on autobanned/ nuked users began at January 04, 2019, 08:03:06 AM *Counted at the start of this topic
Merit status (for all) | Frequency | Percent | _________________________ | ______________ | ______________ | Sent only | 7371 | 17.9 | Earned only | 19259 | 46.6 | Both | 14658 | 35.5 | Total | 41288 | 100 | _________________________ | ______________ | ______________ | Account status (for legit only) | | | _________________________ | ______________ | ______________ | Legit | 12142 | 82.8 | Autobanned | 2499 | 17.1 | Nuked | 17 | 0.1 | Total | 14658 | 100 | _________________________ | ______________ | ______________ |
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ABSTRACT 2020w17, GMT timeData is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w18 and an incomplete day (dayid = 829). Details on days dropped, please see above posts. Intra-day merits:- Total observed days: 826
- Potential outliers are days that have intraday total merits beyond 166 or 1218
- Median of intraday merits over the period is 668
- 50% of observed days have their intra-day merits range from 560 to 823 (the interquartile range)
- In medians, the highest and lowest days are Thursday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
- There are 54 potential outliers (beyond 166 or 1218) in total.
- The distribution of outliers over years are: 41 (74.6%) for 2018, 13 (23.6%) for 2019, and 1 (1.8%) for 2020. (see details)
- Minimum and maximum of intraday merits (full dataset) are 300, and 12676, on 04/8/2019 and 25/1/2018, respectively.
Intra-week merits:- Total observed weeks: 118
- The median of intra-week merits is 4640
- 50% of observed weeks (118 weeks in total), have total merits in the range from 4209 to 5596 (the interquartile range of intra-week merits).
- Minimum and maximum of intra-week merits are 3186 and 27920, in 2018w35, and 2018w4, respectively;
- 9 potential outliers [beyond 2129 or 7677], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397); none of them ocurred in 2020.
Intra-month merits:- Total observed weeks: 28
- The median of intra-week merits is 21525
- 50% of observed weeks (28 weeks in total), have total merits in the range from 18386 to 24196 (the interquartile range of intra-week merits).
- Minimum and maximum of intra-week merits are 15609 and 48374, in 2018m12, and 2018m2, respectively;
- 3 potential outliers [beyond 9671 or 32911], 2 of them occurred in the year 2018, 1 occured in 2019, whilst none of them ocurred in 2020.
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Intra-month merits (from 24/1/2018 to 30/4/2020)There are days dropped in order to get data for entire month. Day with id > 828 dropped because those days belong to the incomplete April of 2020 (2020m5).Converted dataset: +-----------------+ | merit month | |-----------------| 1. | 39170 2018m1 | 2. | 48374 2018m2 | 3. | 32141 2018m3 | 4. | 23482 2018m4 | 5. | 19807 2018m5 | |-----------------| 6. | 18693 2018m6 | 7. | 18286 2018m7 | 8. | 16631 2018m8 | 9. | 22075 2018m9 | 10. | 18592 2018m10 | |-----------------| 11. | 17442 2018m11 | 12. | 15609 2018m12 | 13. | 22875 2019m1 | 14. | 17756 2019m2 | 15. | 21467 2019m3 | |-----------------| 16. | 20698 2019m4 | 17. | 22069 2019m5 | 18. | 20355 2019m6 | 19. | 18485 2019m7 | 20. | 16094 2019m8 | |-----------------| 21. | 17406 2019m9 | 22. | 21583 2019m10 | 23. | 42866 2019m11 | 24. | 24909 2019m12 | 25. | 28281 2020m1 | |-----------------| 26. | 25475 2020m2 | 27. | 22806 2020m3 | 28. | 22524 2020m4 | +-----------------+
Time series plotBasic statistics:- 50% of observed months ( 28 months) have total intra-month merits above 21525, whilst the rest 50% of them have total intra-month merits below 21525. 21525 is the median - p50. - 50% of observed months have total intra-month merits fluctuated in the range from 18386 to 24196 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 15609 - 48374. variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 28 23426.82 8069.882 21525 18385.5 24195.5 15609 48374 ----------------------------------------------------------------------------------------------
Potential outliers:. di 24196-18386 5810
. di 5810*1.5 8715
. di 24196+8715 32911
. di 18386-8715 9671
It means that potential outliers are months that have intra-month merits beyond 9671 or 32911. How many months are potential outliers? . count if (merit >= 32911 | merit <= 9671) & merit != . 3
3 months are outliers, in total. List of those four months: +-----------------+ | merit month | |-----------------| 1. | 39170 2018m1 | 2. | 48374 2018m2 | 23. | 42866 2019m11 | +-----------------+
Most of them occured in the year 2018, during the first three months after merit system activated. Only one outlier month detected in 2019, that is 2019m11, at 42866.
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Intra-week merits (from 24/1/2018 to 28/4/2020)Last 3 days dropped due to incomplete week (2020w18) and an incomplete day (dayid = 829)Converted dataset: +-----------------+ | merit week | |-----------------| 1. | 27920 2018w4 | 2. | 20930 2018w5 | 3. | 14042 2018w6 | 4. | 11901 2018w7 | 5. | 8879 2018w8 | |-----------------| 6. | 9005 2018w9 | 7. | 7178 2018w10 | 8. | 7340 2018w11 | 9. | 7138 2018w12 | 10. | 6392 2018w13 | |-----------------| 11. | 6542 2018w14 | 12. | 5946 2018w15 | 13. | 4449 2018w16 | 14. | 4820 2018w17 | 15. | 5043 2018w18 | |-----------------| 16. | 4685 2018w19 | 17. | 4431 2018w20 | 18. | 3903 2018w21 | 19. | 4248 2018w22 | 20. | 4473 2018w23 | |-----------------| 21. | 3953 2018w24 | 22. | 4574 2018w25 | 23. | 4684 2018w26 | 24. | 4367 2018w27 | 25. | 4109 2018w28 | |-----------------| 26. | 4277 2018w29 | 27. | 3809 2018w30 | 28. | 3489 2018w31 | 29. | 4199 2018w32 | 30. | 3767 2018w33 | |-----------------| 31. | 3763 2018w34 | 32. | 3186 2018w35 | 33. | 3536 2018w36 | 34. | 3586 2018w37 | 35. | 9587 2018w38 | |-----------------| 36. | 4508 2018w39 | 37. | 4325 2018w40 | 38. | 3981 2018w41 | 39. | 4424 2018w42 | 40. | 4386 2018w43 | |-----------------| 41. | 3321 2018w44 | 42. | 4175 2018w45 | 43. | 4047 2018w46 | 44. | 4606 2018w47 | 45. | 3791 2018w48 | |-----------------| 46. | 3596 2018w49 | 47. | 3689 2018w50 | 48. | 3615 2018w51 | 49. | 3687 2018w52 | 50. | 4584 2019w1 | |-----------------| 51. | 6102 2019w2 | 52. | 5776 2019w3 | 53. | 4582 2019w4 | 54. | 4408 2019w5 | 55. | 4505 2019w6 | |-----------------| 56. | 4259 2019w7 | 57. | 4314 2019w8 | 58. | 4726 2019w9 | 59. | 4979 2019w10 | 60. | 4295 2019w11 | |-----------------| 61. | 4690 2019w12 | 62. | 5728 2019w13 | 63. | 4695 2019w14 | 64. | 5253 2019w15 | 65. | 4880 2019w16 | |-----------------| 66. | 4260 2019w17 | 67. | 4817 2019w18 | 68. | 5002 2019w19 | 69. | 5596 2019w20 | 70. | 4693 2019w21 | |-----------------| 71. | 4342 2019w22 | 72. | 4597 2019w23 | 73. | 5373 2019w24 | 74. | 4629 2019w25 | 75. | 4672 2019w26 | |-----------------| 76. | 3882 2019w27 | 77. | 4462 2019w28 | 78. | 4005 2019w29 | 79. | 4377 2019w30 | 80. | 3603 2019w31 | |-----------------| 81. | 3346 2019w32 | 82. | 3965 2019w33 | 83. | 3811 2019w34 | 84. | 3579 2019w35 | 85. | 3683 2019w36 | |-----------------| 86. | 4005 2019w37 | 87. | 4382 2019w38 | 88. | 4348 2019w39 | 89. | 4209 2019w40 | 90. | 4701 2019w41 | |-----------------| 91. | 5160 2019w42 | 92. | 5375 2019w43 | 93. | 4816 2019w44 | 94. | 4753 2019w45 | 95. | 11070 2019w46 | |-----------------| 96. | 20397 2019w47 | 97. | 6271 2019w48 | 98. | 4650 2019w49 | 99. | 4832 2019w50 | 100. | 6066 2019w51 | |-----------------| 101. | 7058 2019w52 | 102. | 5745 2020w1 | 103. | 5395 2020w2 | 104. | 7247 2020w3 | 105. | 6646 2020w4 | |-----------------| 106. | 6756 2020w5 | 107. | 5573 2020w6 | 108. | 6923 2020w7 | 109. | 6314 2020w8 | 110. | 5237 2020w9 | |-----------------| 111. | 4622 2020w10 | 112. | 5109 2020w11 | 113. | 5603 2020w12 | 114. | 5392 2020w13 | 115. | 6061 2020w14 | |-----------------| 116. | 5094 2020w15 | 117. | 5052 2020w16 | 118. | 4539 2020w17 | +-----------------+
Time series plotBasic statistics:- 50% of observed weeks ( 118 weeks) have total intra-week merits above 4640, whilst the rest 50% of them have total intra-week merits below 4640. 4640 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4209 to 5596 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 3186 - 27920. variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 118.0 5543.8 3341.6 4639.5 4209.0 5596.0 3186.0 27920.0 ----------------------------------------------------------------------------------------------
Potential outliers:. di 5596-4209 1387
. di 1387*1.5 2080.5
. di 5596+2080.5 7676.5
. di 4209-2080.5 2128.5
It means that potential outliers are weeks that have intra-week merits beyond 2129 or 7677. How many weeks are potential outliers? . count if (merit >= 7677 | merit < 2129) & merit != . 9
9 weeks are outliers, in total. List of those 9 weeks: +-----------------+ | merit week | |-----------------| 1. | 27920 2018w4 | 2. | 20930 2018w5 | 3. | 14042 2018w6 | 4. | 11901 2018w7 | 5. | 8879 2018w8 | |-----------------| 6. | 9005 2018w9 | 35. | 9587 2018w38 | 95. | 11070 2019w46 | 96. | 20397 2019w47 | +-----------------+
Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 (20397). None of them occured in 2020 so far. List of weeks in descending weekly meritsThe last week (with 4539 merits) stays at the 67th position, among 118 weeks. +------------------------------+ | weeklyrank merit week | |------------------------------| 1. | 1 27920 2018w4 | 2. | 2 20930 2018w5 | 3. | 3 20397 2019w47 | 4. | 4 14042 2018w6 | 5. | 5 11901 2018w7 | |------------------------------| 6. | 6 11070 2019w46 | 7. | 7 9587 2018w38 | 8. | 8 9005 2018w9 | 9. | 9 8879 2018w8 | 10. | 10 7340 2018w11 | |------------------------------| 11. | 11 7247 2020w3 | 12. | 12 7178 2018w10 | 13. | 13 7138 2018w12 | 14. | 14 7058 2019w52 | 15. | 15 6923 2020w7 | |------------------------------| 16. | 16 6756 2020w5 | 17. | 17 6646 2020w4 | 18. | 18 6542 2018w14 | 19. | 19 6392 2018w13 | 20. | 20 6314 2020w8 | |------------------------------| 21. | 21 6271 2019w48 | 22. | 22 6102 2019w2 | 23. | 23 6066 2019w51 | 24. | 24 6061 2020w14 | 25. | 25 5946 2018w15 | |------------------------------| 26. | 26 5776 2019w3 | 27. | 27 5745 2020w1 | 28. | 28 5728 2019w13 | 29. | 29 5603 2020w12 | 30. | 30 5596 2019w20 | |------------------------------| 31. | 31 5573 2020w6 | 32. | 32 5395 2020w2 | 33. | 33 5392 2020w13 | 34. | 34 5375 2019w43 | 35. | 35 5373 2019w24 | |------------------------------| 36. | 36 5253 2019w15 | 37. | 37 5237 2020w9 | 38. | 38 5160 2019w42 | 39. | 39 5109 2020w11 | 40. | 40 5094 2020w15 | |------------------------------| 41. | 41 5052 2020w16 | 42. | 42 5043 2018w18 | 43. | 43 5002 2019w19 | 44. | 44 4979 2019w10 | 45. | 45 4880 2019w16 | |------------------------------| 46. | 46 4832 2019w50 | 47. | 47 4820 2018w17 | 48. | 48 4817 2019w18 | 49. | 49 4816 2019w44 | 50. | 50 4753 2019w45 | |------------------------------| 51. | 51 4726 2019w9 | 52. | 52 4701 2019w41 | 53. | 53 4695 2019w14 | 54. | 54 4693 2019w21 | 55. | 55 4690 2019w12 | |------------------------------| 56. | 56 4685 2018w19 | 57. | 57 4684 2018w26 | 58. | 58 4672 2019w26 | 59. | 59 4650 2019w49 | 60. | 60 4629 2019w25 | |------------------------------| 61. | 61 4622 2020w10 | 62. | 62 4606 2018w47 | 63. | 63 4597 2019w23 | 64. | 64 4584 2019w1 | 65. | 65 4582 2019w4 | |------------------------------| 66. | 66 4574 2018w25 | 67. | 67 4539 2020w17 | 68. | 68 4508 2018w39 | 69. | 69 4505 2019w6 | 70. | 70 4473 2018w23 | |------------------------------| 71. | 71 4462 2019w28 | 72. | 72 4449 2018w16 | 73. | 73 4431 2018w20 | 74. | 74 4424 2018w42 | 75. | 75 4408 2019w5 | |------------------------------| 76. | 76 4386 2018w43 | 77. | 77 4382 2019w38 | 78. | 78 4377 2019w30 | 79. | 79 4367 2018w27 | 80. | 80 4348 2019w39 | |------------------------------| 81. | 81 4342 2019w22 | 82. | 82 4325 2018w40 | 83. | 83 4314 2019w8 | 84. | 84 4295 2019w11 | 85. | 85 4277 2018w29 | |------------------------------| 86. | 86 4260 2019w17 | 87. | 87 4259 2019w7 | 88. | 88 4248 2018w22 | 89. | 89 4209 2019w40 | 90. | 90 4199 2018w32 | |------------------------------| 91. | 91 4175 2018w45 | 92. | 92 4109 2018w28 | 93. | 93 4047 2018w46 | 94. | 94 4005 2019w37 | 95. | 95 4005 2019w29 | |------------------------------| 96. | 96 3981 2018w41 | 97. | 97 3965 2019w33 | 98. | 98 3953 2018w24 | 99. | 99 3903 2018w21 | 100. | 100 3882 2019w27 | |------------------------------| 101. | 101 3811 2019w34 | 102. | 102 3809 2018w30 | 103. | 103 3791 2018w48 | 104. | 104 3767 2018w33 | 105. | 105 3763 2018w34 | |------------------------------| 106. | 106 3689 2018w50 | 107. | 107 3687 2018w52 | 108. | 108 3683 2019w36 | 109. | 109 3615 2018w51 | 110. | 110 3603 2019w31 | |------------------------------| 111. | 111 3596 2018w49 | 112. | 112 3586 2018w37 | 113. | 113 3579 2019w35 | 114. | 114 3536 2018w36 | 115. | 115 3489 2018w31 | |------------------------------| 116. | 116 3346 2019w32 | 117. | 117 3321 2018w44 | 118. | 118 3186 2018w35 | +------------------------------+
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Medians and means of intra-day merits over days of weeks GMT timeColors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Thursday , Tuesday, and Friday at 706, 706, and 705, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 611, 627, and 661, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 911, 853, and 813, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 693, 709, and 780, respectively. Basic statistics:Summary for variables: merit by categories of: dofw
dofw | N mean sd p50 p25 p75 min max ----------+-------------------------------------------------------------------------------- Sunday | 118.0 692.6 355.7 627.0 503.0 739.0 300.0 3240.0 Monday | 118.0 779.5 438.2 660.5 562.0 859.0 370.0 3343.0 Tuesday | 118.0 813.0 478.2 706.0 594.0 871.0 339.0 3826.0 Wednesday | 118.0 786.5 435.9 674.0 603.0 837.0 347.0 4103.0 Thursday | 118.0 910.9 1210.8 706.0 586.0 837.0 411.0 12676.0 Friday | 118.0 852.8 753.8 704.5 566.0 837.0 373.0 6348.0 Saturday | 118.0 708.7 466.4 611.0 509.0 736.0 375.0 4627.0 ----------+-------------------------------------------------------------------------------- Total | 826.0 792.0 654.9 668.0 560.0 823.0 300.0 12676.0 -------------------------------------------------------------------------------------------
Box plotsOutliers non-displayed. Since this week, I have stopped to give you box plot with outliers, and changed box colors for days of week. I hope you like the color changes.Details on ranks:In medians +----------------------------------------------------------------------+ | rankmedian dofw median mean p25 p75 min max | |----------------------------------------------------------------------| 1. | 1 Thursday 706 910.8644 586 837 411 12676 | 2. | 2 Tuesday 706 813.0085 594 871 339 3826 | 3. | 3 Friday 704.5 852.7542 566 837 373 6348 | 4. | 4 Wednesday 674 786.4915 603 837 347 4103 | 5. | 5 Monday 660.5 779.483 562 859 370 3343 | |----------------------------------------------------------------------| 6. | 6 Sunday 627 692.5763 503 739 300 3240 | 7. | 7 Saturday 611 708.661 509 736 375 4627 | +----------------------------------------------------------------------+
In means +--------------------------------------------------------------------+ | rankmean dofw mean median p25 p75 min max | |--------------------------------------------------------------------| 1. | 1 Thursday 910.8644 706 586 837 411 12676 | 2. | 2 Friday 852.7542 704.5 566 837 373 6348 | 3. | 3 Tuesday 813.0085 706 594 871 339 3826 | 4. | 4 Wednesday 786.4915 674 603 837 347 4103 | 5. | 5 Monday 779.483 660.5 562 859 370 3343 | |--------------------------------------------------------------------| 6. | 6 Saturday 708.661 611 509 736 375 4627 | 7. | 7 Sunday 692.5763 627 503 739 300 3240 | +--------------------------------------------------------------------+
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During the period from 24/1/2018 to 28/4/2020 (last 3 days dropped due to incomplete week, 2020w18 and an incomplete day - dayid = 829), the minimum and maximum of intra-day merit are 300 and 12676, on 04/8/2019 and 25/1/2018, respectively. List of the top 50-highest day in terms of intra-day merits: +-----------------------------------------------------------------------------+ | rank_max merit dayid date dofw week month year | |-----------------------------------------------------------------------------| 1. | 1 12676 2 25jan2018 Thursday 2018w4 2018m1 2018 | 2. | 2 6348 3 26jan2018 Friday 2018w4 2018m1 2018 | 3. | 3 5515 668 22nov2019 Friday 2019w47 2019m11 2019 | 4. | 4 4889 667 21nov2019 Thursday 2019w47 2019m11 2019 | 5. | 5 4627 4 27jan2018 Saturday 2018w4 2018m1 2018 | |-----------------------------------------------------------------------------| 6. | 6 4103 8 31jan2018 Wednesday 2018w5 2018m1 2018 | 7. | 7 3826 665 19nov2019 Tuesday 2019w47 2019m11 2019 | 8. | 8 3804 7 30jan2018 Tuesday 2018w5 2018m1 2018 | 9. | 9 3343 6 29jan2018 Monday 2018w5 2018m1 2018 | 10. | 10 3240 5 28jan2018 Sunday 2018w4 2018m1 2018 | |-----------------------------------------------------------------------------| 11. | 11 2797 23 15feb2018 Thursday 2018w7 2018m2 2018 | 12. | 12 2793 9 01feb2018 Thursday 2018w5 2018m2 2018 | 13. | 13 2783 664 18nov2019 Monday 2019w46 2019m11 2019 | 14. | 14 2621 10 02feb2018 Friday 2018w5 2018m2 2018 | 15. | 15 2584 666 20nov2019 Wednesday 2019w47 2019m11 2019 | |-----------------------------------------------------------------------------| 16. | 16 2553 237 17sep2018 Monday 2018w38 2018m9 2018 | 17. | 17 2476 11 03feb2018 Saturday 2018w5 2018m2 2018 | 18. | 18 2374 661 15nov2019 Friday 2019w46 2019m11 2019 | 19. | 19 2367 15 07feb2018 Wednesday 2018w6 2018m2 2018 | 20. | 20 2263 13 05feb2018 Monday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 21. | 21 2223 17 09feb2018 Friday 2018w6 2018m2 2018 | 22. | 22 2059 16 08feb2018 Thursday 2018w6 2018m2 2018 | 23. | 23 2003 14 06feb2018 Tuesday 2018w6 2018m2 2018 | 24. | 24 1807 238 18sep2018 Tuesday 2018w38 2018m9 2018 | 25. | 25 1793 19 11feb2018 Sunday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 26. | 26 1790 12 04feb2018 Sunday 2018w5 2018m2 2018 | 27. | 27 1740 24 16feb2018 Friday 2018w7 2018m2 2018 | 28. | 28 1727 39 03mar2018 Saturday 2018w9 2018m3 2018 | 29. | 29 1630 660 14nov2019 Thursday 2019w46 2019m11 2019 | 30. | 30 1590 669 23nov2019 Saturday 2019w47 2019m11 2019 | |-----------------------------------------------------------------------------| 31. | 31 1589 26 18feb2018 Sunday 2018w7 2018m2 2018 | 32. | 32 1585 662 16nov2019 Saturday 2019w46 2019m11 2019 | 33. | 33 1580 22 14feb2018 Wednesday 2018w7 2018m2 2018 | 34. | 34 1475 20 12feb2018 Monday 2018w7 2018m2 2018 | 35. | 35 1465 678 02dec2019 Monday 2019w48 2019m12 2019 | |-----------------------------------------------------------------------------| 36. | 36 1442 28 20feb2018 Tuesday 2018w8 2018m2 2018 | 37. | 37 1431 25 17feb2018 Saturday 2018w7 2018m2 2018 | 38. | 38 1414 35 27feb2018 Tuesday 2018w9 2018m2 2018 | 39. | 39 1390 57 21mar2018 Wednesday 2018w12 2018m3 2018 | 40. | 40 1377 663 17nov2019 Sunday 2019w46 2019m11 2019 | |-----------------------------------------------------------------------------| 41. | 41 1372 33 25feb2018 Sunday 2018w8 2018m2 2018 | 42. | 42 1364 755 17feb2020 Monday 2020w7 2020m2 2020 | 43. | 43 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 | 44. | 44 1345 38 02mar2018 Friday 2018w9 2018m3 2018 | 45. | 45 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 46. | 46 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 | 47. | 47 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 | 48. | 48 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 | 49. | 49 1289 27 19feb2018 Monday 2018w8 2018m2 2018 | 50. | 50 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 | +-----------------------------------------------------------------------------+
List of the top 50-lowest days in terms of intra-day merits: +-----------------------------------------------------------------------------+ | rank_min merit dayid date dofw week month year | |-----------------------------------------------------------------------------| 1. | 1 300 558 04aug2019 Sunday 2019w31 2019m8 2019 | 2. | 2 333 341 30dec2018 Sunday 2018w52 2018m12 2018 | 3. | 3 339 343 01jan2019 Tuesday 2019w1 2019m1 2019 | 4. | 4 347 299 18nov2018 Sunday 2018w46 2018m11 2018 | 5. | 5 347 330 19dec2018 Wednesday 2018w51 2018m12 2018 | |-----------------------------------------------------------------------------| 6. | 6 351 334 23dec2018 Sunday 2018w51 2018m12 2018 | 7. | 7 366 218 29aug2018 Wednesday 2018w35 2018m8 2018 | 8. | 8 367 565 11aug2019 Sunday 2019w32 2019m8 2019 | 9. | 9 370 223 03sep2018 Monday 2018w36 2018m9 2018 | 10. | 10 373 339 28dec2018 Friday 2018w52 2018m12 2018 | |-----------------------------------------------------------------------------| 11. | 11 375 340 29dec2018 Saturday 2018w52 2018m12 2018 | 12. | 12 377 600 15sep2019 Sunday 2019w37 2019m9 2019 | 13. | 13 378 566 12aug2019 Monday 2019w32 2019m8 2019 | 14. | 14 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 | 15. | 15 378 305 24nov2018 Saturday 2018w47 2018m11 2018 | |-----------------------------------------------------------------------------| 16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 | 17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 | 18. | 18 385 215 26aug2018 Sunday 2018w34 2018m8 2018 | 19. | 19 385 327 16dec2018 Sunday 2018w50 2018m12 2018 | 20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 | |-----------------------------------------------------------------------------| 21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 | 22. | 22 399 593 08sep2019 Sunday 2019w36 2019m9 2019 | 23. | 23 401 557 03aug2019 Saturday 2019w31 2019m8 2019 | 24. | 24 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 | 25. | 25 402 263 13oct2018 Saturday 2018w41 2018m10 2018 | |-----------------------------------------------------------------------------| 26. | 26 404 229 09sep2018 Sunday 2018w36 2018m9 2018 | 27. | 27 406 277 27oct2018 Saturday 2018w43 2018m10 2018 | 28. | 28 408 530 07jul2019 Sunday 2019w27 2019m7 2019 | 29. | 29 409 123 26may2018 Saturday 2018w21 2018m5 2018 | 30. | 30 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 | |-----------------------------------------------------------------------------| 31. | 31 410 279 29oct2018 Monday 2018w44 2018m10 2018 | 32. | 32 411 578 24aug2019 Saturday 2019w34 2019m8 2019 | 33. | 33 411 569 15aug2019 Thursday 2019w33 2019m8 2019 | 34. | 34 414 528 05jul2019 Friday 2019w27 2019m7 2019 | 35. | 35 421 193 04aug2018 Saturday 2018w31 2018m8 2018 | |-----------------------------------------------------------------------------| 36. | 36 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 | 37. | 37 426 346 04jan2019 Friday 2019w1 2019m1 2019 | 38. | 38 426 230 10sep2018 Monday 2018w37 2018m9 2018 | 39. | 39 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 | 40. | 40 430 207 18aug2018 Saturday 2018w33 2018m8 2018 | |-----------------------------------------------------------------------------| 41. | 41 432 587 02sep2019 Monday 2019w35 2019m9 2019 | 42. | 42 435 522 29jun2019 Saturday 2019w26 2019m6 2019 | 43. | 43 436 419 18mar2019 Monday 2019w11 2019m3 2019 | 44. | 44 440 559 05aug2019 Monday 2019w31 2019m8 2019 | 45. | 45 440 585 31aug2019 Saturday 2019w35 2019m8 2019 | |-----------------------------------------------------------------------------| 46. | 46 440 265 15oct2018 Monday 2018w42 2018m10 2018 | 47. | 47 441 404 03mar2019 Sunday 2019w9 2019m3 2019 | 48. | 48 441 319 08dec2018 Saturday 2018w49 2018m12 2018 | 49. | 49 442 278 28oct2018 Sunday 2018w43 2018m10 2018 | 50. | 50 442 342 31dec2018 Monday 2018w52 2018m12 2018 | +-----------------------------------------------------------------------------+
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Time-series plots:Full dataset:Truncated dataset: Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w18 (daydi = 827, 828), the incomplete week & incomlete day (dayid = 829). variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 826 791.977 654.9271 668 560 823 300 12676 ----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 166 or 1218. . di 823-560 263
. di 263*1.5 394.5
. di 823+394.5 1217.5
. di 560-394.5 165.5
There are 54 outliers (beyond 1218 or 166) in full dataset, in total. . count if (merit >= 1218 | merit <= 166) & merit != . 55
Those days are: +---------------------------+ | dayid merit date | |---------------------------| 2. | 2 12676 25jan2018 | 3. | 3 6348 26jan2018 | 4. | 4 4627 27jan2018 | 5. | 5 3240 28jan2018 | 6. | 6 3343 29jan2018 | 7. | 7 3804 30jan2018 | 8. | 8 4103 31jan2018 | 9. | 9 2793 01feb2018 | 10. | 10 2621 02feb2018 | 11. | 11 2476 03feb2018 | 12. | 12 1790 04feb2018 | 13. | 13 2263 05feb2018 | 14. | 14 2003 06feb2018 | 15. | 15 2367 07feb2018 | 16. | 16 2059 08feb2018 | 17. | 17 2223 09feb2018 | 18. | 18 1334 10feb2018 | 19. | 19 1793 11feb2018 | 20. | 20 1475 12feb2018 | 21. | 21 1289 13feb2018 | 22. | 22 1580 14feb2018 | 23. | 23 2797 15feb2018 | 24. | 24 1740 16feb2018 | 25. | 25 1431 17feb2018 | 26. | 26 1589 18feb2018 | 27. | 27 1289 19feb2018 | 28. | 28 1442 20feb2018 | 30. | 30 1277 22feb2018 | 31. | 31 1249 23feb2018 | 33. | 33 1372 25feb2018 | 35. | 35 1414 27feb2018 | 36. | 36 1302 28feb2018 | 38. | 38 1345 02mar2018 | 39. | 39 1727 03mar2018 | 49. | 49 1316 13mar2018 | 51. | 51 1224 15mar2018 | 57. | 57 1390 21mar2018 | 237. | 237 2553 17sep2018 | 238. | 238 1807 18sep2018 | 239. | 239 1347 19sep2018 | 240. | 240 1221 20sep2018 | |---------------------------| 429. | 429 1247 28mar2019 | 505. | 505 1227 12jun2019 | 660. | 660 1630 14nov2019 | 661. | 661 2374 15nov2019 | 662. | 662 1585 16nov2019 | 663. | 663 1377 17nov2019 | 664. | 664 2783 18nov2019 | 665. | 665 3826 19nov2019 | 666. | 666 2584 20nov2019 | 667. | 667 4889 21nov2019 | 668. | 668 5515 22nov2019 | 669. | 669 1590 23nov2019 | 678. | 678 1465 02dec2019 | |---------------------------| 755. | 755 1364 17feb2020 | +---------------------------+
Distributions of outliers over years:- 2018: 41 (74.6%)
- 2019: 13 (23.6%)
- 2020: 1 (1.8%)
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Notes: - nsenders: Sum of merit senders.
- ntransactions: Sum of merit transactions one user received his/her merits.
- nposts: Sum of posts one user received his/her merits.
+------------------------------------------------------------------------------------+ | rank_median username userid nsenders ntransactions nposts | |------------------------------------------------------------------------------------| 1. | 1 LoyceV 459836 579 2818 1324 | 2. | 2 o_e_l_e_o 1188543 389 2230 1390 | 3. | 3 suchmoon 234771 390 2301 1429 | 4. | 4 El duderino_ 1067333 308 2266 1444 | 5. | 5 theymos 35 945 2600 511 | |------------------------------------------------------------------------------------| 6. | 6 DdmrDdmr 1582324 371 1953 1045 | 7. | 7 Last of the V8s 479624 236 2005 1357 | 8. | 8 The Pharmacist 487418 313 1322 932 | 9. | 9 mikeywith 2033515 236 1353 770 | 10. | 10 achow101 290195 170 1159 476 | |------------------------------------------------------------------------------------| 11. | 11 nutildah 317618 283 1209 751 | 12. | 12 LFC_Bitcoin 379487 225 1566 1071 | 13. | 13 VB1001 1138727 187 1459 885 | 14. | 14 HairyMaclairy 181806 155 1277 897 | 15. | 15 JayJuanGee 252510 211 1256 1011 | |------------------------------------------------------------------------------------| 16. | 16 xhomerx10 120694 213 1119 636 | 17. | 17 HCP 867786 221 1112 695 | 18. | 18 gmaxwell 11425 156 815 315 | 19. | 19 pooya87 379147 232 1089 707 | 20. | 20 hilariousetc 397737 205 887 539 | |------------------------------------------------------------------------------------| 21. | 21 iasenko 1291828 292 986 437 | 22. | 22 fillippone 1852120 283 1726 851 | 23. | 23 TryNinja 557798 265 938 685 | 24. | 24 gentlemand 155345 270 1010 768 | 25. | 25 abhiseshakana 1878246 122 956 497 | |------------------------------------------------------------------------------------| 26. | 26 1miau 2143453 253 1270 588 | 27. | 27 BobLawblaw 569455 140 1004 623 | 28. | 28 ETFbitcoin 359716 210 785 540 | 29. | 29 philipma1957 64507 195 709 558 | 30. | 30 bitmover 1554927 255 847 484 | |------------------------------------------------------------------------------------| 31. | 31 marlboroza 787736 210 683 424 | 32. | 32 roycilik 1051955 149 801 323 | 33. | 33 Steamtyme 1112531 187 713 400 | 34. | 34 qwk 24140 214 845 511 | 35. | 35 jojo69 49008 150 966 657 | |------------------------------------------------------------------------------------| 36. | 36 Goran_ 1039323 119 757 590 | 37. | 37 Vod 30747 298 745 411 | 38. | 38 Carlton Banks 64205 153 678 418 | 39. | 39 taikuri13 1855828 118 751 515 | 40. | 40 Husna QA 1827294 132 728 341 | |------------------------------------------------------------------------------------| 41. | 41 hugeblack 1059082 227 808 478 | 42. | 42 joniboni 1275282 192 763 455 | 43. | 43 Jet Cash 698159 271 823 558 | 44. | 44 mu_enrico 1574226 124 717 349 | 45. | 45 krogothmanhattan 1000199 223 661 277 | |------------------------------------------------------------------------------------| 46. | 46 Veleor 1177936 163 729 413 | 47. | 47 DireWolfM14 2003859 205 812 454 | 48. | 48 mjglqw 886521 254 737 489 | 49. | 49 mindrust 176777 197 712 486 | 50. | 50 mocacino 405464 179 725 386 | |------------------------------------------------------------------------------------| 51. | 51 yogg 140827 135 568 271 | 52. | 52 Coolcryptovator 1980983 266 769 358 | 53. | 53 DarkStar_ 507936 283 743 401 | 54. | 54 minerjones 346731 111 423 281 | 55. | 55 morvillz7z 1825672 153 641 311 | |------------------------------------------------------------------------------------| 56. | 56 Hhampuz 881377 316 836 366 | 57. | 57 tvplus006 1311641 233 796 272 | 58. | 58 bob123 579628 167 871 537 | 59. | 59 witcher_sense 1433865 140 851 357 | 60. | 60 stompix 164749 207 579 434 | |------------------------------------------------------------------------------------| 61. | 61 Lafu 805820 153 638 376 | 62. | 62 infofront 41175 139 696 418 | 63. | 63 coinlocket$ 1339716 190 595 327 | 64. | 64 Plutosky 1237522 55 579 323 | 65. | 65 asche 1580039 131 670 415 | |------------------------------------------------------------------------------------| 66. | 66 BitCryptex 1169179 148 641 323 | 67. | 67 yahoo62278 355846 371 770 311 | 68. | 68 nc50lc 1237156 170 709 376 | 69. | 69 tranthidung 1292764 234 776 329 | 70. | 70 xtraelv 897509 220 724 333 | |------------------------------------------------------------------------------------| 71. | 71 Xal0lex 1068464 123 562 317 | 72. | 72 mole0815 1424178 119 784 553 | 73. | 73 Lauda 101872 237 740 497 | 74. | 74 Coding Enthusiast 879277 105 540 174 | 75. | 75 CryptopreneurBrainboss 1052091 210 620 313 | |------------------------------------------------------------------------------------| 76. | 76 Toxic2040 239406 120 831 580 | 77. | 77 satoshi 3 259 361 64 | 78. | 78 Foxpup 55384 148 418 221 | 79. | 79 Alex_Sr 1762404 110 536 341 | 80. | 80 aundroid 1015954 108 663 385 | |------------------------------------------------------------------------------------| 81. | 81 madnessteat 1894120 119 589 285 | 82. | 82 Piggy 188198 190 447 146 | 83. | 83 Welsh 84521 176 482 251 | 84. | 84 pandukelana2712 1304130 155 534 216 | 85. | 85 PHI16168 1071136 116 398 166 | |------------------------------------------------------------------------------------| 86. | 86 wwzsocki 131333 157 593 315 | 87. | 87 SaltySpitoon 38894 103 369 216 | 88. | 88 lovesmayfamilis 1982152 109 828 345 | 89. | 89 TheNewAnon135246 153656 141 329 179 | 90. | 90 Blacknavy 1018510 152 512 252 | |------------------------------------------------------------------------------------| 91. | 91 TMAN 98986 214 603 365 | 92. | 92 Kalemder 487377 139 575 245 | 93. | 93 tyKiwanuka 1025255 109 464 268 | 94. | 94 eddie13 580327 147 455 270 | 95. | 95 nullius 976210 219 700 295 | |------------------------------------------------------------------------------------| 96. | 96 Corrosive 2005913 95 271 79 | 97. | 97 theyoungmillionaire 1180530 151 368 117 | 98. | 98 Rikafip 2658890 167 603 236 | 99. | 99 masulum 1283017 132 582 214 | 100. | 100 Ratimov 2627711 126 684 383 | +------------------------------------------------------------------------------------+
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Update 2020w17ABSTRACT- Period: 2018w4 - 2020w18 08may2020 02:50:52 (GMT time).
- Observed weeks: 118
- Incomple weeks: 2018w4, 2020w18.
- The last merit transaction is at 01may2020 02:51:51 (GMT time)
- A new member have joined the top 100 since last Friday: Rikafip
List of top 100 merit earners, sorted descendingly by sum of earned merits: +-------------------------------------------------------+ | rank_total username userid total | |-------------------------------------------------------| 1. | 1 theymos 35 6792 | 2. | 2 LoyceV 459836 5209 | 3. | 3 suchmoon 234771 4069 | 4. | 4 o_e_l_e_o 1188543 4037 | 5. | 5 DdmrDdmr 1582324 3724 | |-------------------------------------------------------| 6. | 6 El duderino_ 1067333 3529 | 7. | 7 fillippone 1852120 3038 | 8. | 8 Last of the V8s 479624 2894 | 9. | 9 gmaxwell 11425 2552 | 10. | 10 The Pharmacist 487418 2486 | |-------------------------------------------------------| 11. | 11 mikeywith 2033515 2307 | 12. | 12 satoshi 3 2304 | 13. | 13 achow101 290195 2258 | 14. | 14 nutildah 317618 2184 | 15. | 15 LFC_Bitcoin 379487 2152 | |-------------------------------------------------------| 16. | 16 1miau 2143453 2072 | 17. | 17 VB1001 1138727 1957 | 18. | 18 xhomerx10 120694 1944 | 19. | 19 HCP 867786 1923 | 20. | 20 hilariousetc 397737 1910 | |-------------------------------------------------------| 21. | 21 iasenko 1291828 1893 | 22. | 22 abhiseshakana 1878246 1778 | 23. | 23 Hhampuz 881377 1758 | 24. | 24 DireWolfM14 2003859 1648 | 25. | 25 pooya87 379147 1647 | |-------------------------------------------------------| 26. | 26 JayJuanGee 252510 1640 | 27. | 27 HairyMaclairy 181806 1620 | 28. | 28 Lauda 101872 1580 | 29. | 29 nullius 976210 1574 | 30. | 30 Steamtyme 1112531 1573 | |-------------------------------------------------------| 31. | 31 xtraelv 897509 1563 | 32. | 32 qwk 24140 1553 | 33. | 33 Vod 30747 1524 | 34. | 34 krogothmanhattan 1000199 1486 | 35. | 35 marlboroza 787736 1471 | |-------------------------------------------------------| 36. | 36 gentlemand 155345 1466 | 37. | 37 TryNinja 557798 1451 | 38. | 38 bob123 579628 1432 | 39. | 39 roycilik 1051955 1430 | 40. | 40 yogg 140827 1424 | |-------------------------------------------------------| 41. | 41 Jet Cash 698159 1414 | 42. | 42 Veleor 1177936 1393 | 43. | 43 tranthidung 1292764 1375 | 44. | 44 witcher_sense 1433865 1369 | 45. | 45 yahoo62278 355846 1365 | |-------------------------------------------------------| 46. | 46 joniboni 1275282 1362 | 47. | 47 jojo69 49008 1353 | 48. | 48 ETFbitcoin 359716 1339 | 49. | 49 DarkStar_ 507936 1331 | 50. | 50 bitmover 1554927 1330 | |-------------------------------------------------------| 51. | 51 Husna QA 1827294 1327 | 52. | 52 BobLawblaw 569455 1316 | 53. | 53 Toxic2040 239406 1314 | 54. | 54 TMAN 98986 1302 | 55. | 55 philipma1957 64507 1301 | |-------------------------------------------------------| 56. | 56 mu_enrico 1574226 1299 | 57. | 57 BitCryptex 1169179 1298 | 58. | 58 mocacino 405464 1271 | 59. | 59 Coding Enthusiast 879277 1260 | 60. | 60 morvillz7z 1825672 1247 | |-------------------------------------------------------| 61. | 61 Ratimov 2627711 1242 | 62. | 62 taikuri13 1855828 1234 | 63. | 63 hugeblack 1059082 1221 | 64. | 64 Carlton Banks 64205 1220 | 65. | 65 Coolcryptovator 1980983 1218 | |-------------------------------------------------------| 66. | 66 coinlocket$ 1339716 1217 | 67. | 67 nc50lc 1237156 1191 | 68. | 68 tvplus006 1311641 1182 | 69. | 69 Piggy 188198 1157 | 70. | 70 mole0815 1424178 1156 | |-------------------------------------------------------| 71. | 71 lovesmayfamilis 1982152 1146 | 72. | 72 minerjones 346731 1116 | 73. | 73 CryptopreneurBrainboss 1052091 1115 | 74. | 74 Kalemder 487377 1099 | 75. | 75 Goran_ 1039323 1092 | |-------------------------------------------------------| 76. | 76 SaltySpitoon 38894 1090 | 77. | 77 asche 1580039 1074 | 78. | 78 PHI16168 1071136 1074 | 79. | 79 Xal0lex 1068464 1073 | 80. | 80 aundroid 1015954 1058 | |-------------------------------------------------------| 81. | 81 mjglqw 886521 1057 | 82. | 82 masulum 1283017 1030 | 83. | 83 Corrosive 2005913 1024 | 84. | 84 theyoungmillionaire 1180530 1012 | 85. | 85 madnessteat 1894120 1011 | |-------------------------------------------------------| 86. | 86 infofront 41175 983 | 87. | 87 mindrust 176777 979 | 88. | 88 stompix 164749 975 | 89. | 89 pandukelana2712 1304130 975 | 90. | 90 wwzsocki 131333 971 | |-------------------------------------------------------| 91. | 91 eddie13 580327 969 | 92. | 92 Foxpup 55384 963 | 93. | 93 Lafu 805820 954 | 94. | 94 tyKiwanuka 1025255 954 | 95. | 95 Plutosky 1237522 953 | |-------------------------------------------------------| 96. | 96 Rikafip 2658890 945 | 97. | 97 Welsh 84521 941 | 98. | 98 Alex_Sr 1762404 937 | 99. | 99 Blacknavy 1018510 931 | 100. | 100 TheNewAnon135246 153656 931 | +-------------------------------------------------------+
List of top 100 merit earners, sorted descendingly by median of weekly earned merits:Algorithm: The idea are a narrower IQR and higher p25 are better. IQR plays its role as spread of weekly earned merits. p25 plays its role as lower threshold of 50% weekly earned merits. - Descending median
- Ascending IQR (IQR = p75 - p25)
- Descending p25
The new algorithm means if 2 users have same median, their ranks will be decided by IQR, which user has lower IQR will have higher position in the list. Next, if 2 users still have same IQR, the last indicator will be used: p25. The user has higher p25 value will have higher position. +----------------------------------------------------------------------------------------+ | rank_median username userid median iqr p25 p75 min max | |----------------------------------------------------------------------------------------| 1. | 1 LoyceV 459836 41 37 22 59 2 115 | 2. | 2 o_e_l_e_o 1188543 33 30 16 46 0 101 | 3. | 3 suchmoon 234771 30 30 17 47 0 148 | 4. | 4 El duderino_ 1067333 28 23 17 40 0 100 | 5. | 5 theymos 35 27 52 11 63 0 1328 | |----------------------------------------------------------------------------------------| 6. | 6 DdmrDdmr 1582324 26 27 15 42 0 106 | 7. | 7 Last of the V8s 479624 22 21 12 33 0 93 | 8. | 8 The Pharmacist 487418 16 20 9 29 0 93 | 9. | 9 mikeywith 2033515 16 31 0 31 0 92 | 10. | 10 achow101 290195 15 19 7 26 1 77 | |----------------------------------------------------------------------------------------| 11. | 11 nutildah 317618 15 25 1 26 0 94 | 12. | 12 LFC_Bitcoin 379487 14 20 6 26 0 73 | 13. | 13 VB1001 1138727 14 27 0 27 0 98 | 14. | 14 HairyMaclairy 181806 12 12 6 18 0 56 | 15. | 15 JayJuanGee 252510 12 13 6 19 0 54 | |----------------------------------------------------------------------------------------| 16. | 16 xhomerx10 120694 12 14 6 20 0 121 | 17. | 17 HCP 867786 12 17 5 22 0 69 | 18. | 18 gmaxwell 11425 12 22 4 26 0 162 | 19. | 19 pooya87 379147 11 16 5 21 0 48 | 20. | 20 hilariousetc 397737 11 20 3 23 0 90 | |----------------------------------------------------------------------------------------| 21. | 21 iasenko 1291828 11 21 5 26 0 52 | 22. | 22 fillippone 1852120 11 40 0 40 0 141 | 23. | 23 TryNinja 557798 10 11 5 16 0 40 | 24. | 24 gentlemand 155345 10 13 5 18 1 74 | 25. | 25 abhiseshakana 1878246 10 19 3 22 0 73 | |----------------------------------------------------------------------------------------| 26. | 26 1miau 2143453 10 24 2 26 0 100 | 27. | 27 BobLawblaw 569455 9 10 5 15 0 55 | 28. | 28 ETFbitcoin 359716 9 10 4 14 0 50 | 29. | 29 philipma1957 64507 9 11 5 16 0 38 | 30. | 30 bitmover 1554927 9 12 4 16 0 48 | |----------------------------------------------------------------------------------------| 31. | 31 marlboroza 787736 9 12 3 15 0 79 | 32. | 32 roycilik 1051955 9 15 3 18 0 48 | 33. | 33 Steamtyme 1112531 9 15 3 18 0 115 | 34. | 34 qwk 24140 9 15 3 18 0 88 | 35. | 35 jojo69 49008 8 10 4 14 0 102 | |----------------------------------------------------------------------------------------| 36. | 36 Goran_ 1039323 8 10 3 13 0 36 | 37. | 37 Vod 30747 8 11 3 14 0 158 | 38. | 38 Carlton Banks 64205 8 11 3 14 0 76 | 39. | 39 taikuri13 1855828 8 12 4 16 0 36 | 40. | 40 Husna QA 1827294 8 12 3 15 0 62 | |----------------------------------------------------------------------------------------| 41. | 41 hugeblack 1059082 8 12 2 14 0 62 | 42. | 42 joniboni 1275282 8 13 4 17 0 54 | 43. | 43 Jet Cash 698159 8 13 3 16 0 65 | 44. | 44 mu_enrico 1574226 8 13 2 15 0 78 | 45. | 45 krogothmanhattan 1000199 8 14 3 17 0 77 | |----------------------------------------------------------------------------------------| 46. | 46 Veleor 1177936 8 17 0 17 0 90 | 47. | 47 DireWolfM14 2003859 8 19 1 20 0 84 | 48. | 48 mjglqw 886521 7 9 3 12 0 52 | 49. | 49 mindrust 176777 7 9 2 11 0 55 | 50. | 50 mocacino 405464 7 10 4 14 0 50 | |----------------------------------------------------------------------------------------| 51. | 51 yogg 140827 7 12 2 14 0 91 | 52. | 52 Coolcryptovator 1980983 7 12 2 14 0 64 | 53. | 53 DarkStar_ 507936 7 13 2 15 0 78 | 54. | 54 minerjones 346731 7 13 1 14 0 67 | 55. | 55 morvillz7z 1825672 7 14 1 15 0 58 | |----------------------------------------------------------------------------------------| 56. | 56 Hhampuz 881377 7 16 3 19 0 92 | 57. | 57 tvplus006 1311641 7 17 0 17 0 42 | 58. | 58 bob123 579628 7 18 1 19 0 68 | 59. | 59 witcher_sense 1433865 7 19 0 19 0 76 | 60. | 60 stompix 164749 6 7 3 10 0 62 | |----------------------------------------------------------------------------------------| 61. | 61 Lafu 805820 6 9 2 11 0 41 | 62. | 62 infofront 41175 6 10 2 12 0 74 | 63. | 63 coinlocket$ 1339716 6 11 2 13 0 98 | 64. | 64 Plutosky 1237522 6 11 1 12 0 31 | 65. | 65 asche 1580039 6 11 1 12 0 50 | |----------------------------------------------------------------------------------------| 66. | 66 BitCryptex 1169179 6 12 3 15 0 126 | 67. | 67 yahoo62278 355846 6 12 2 14 0 130 | 68. | 68 nc50lc 1237156 6 12 1 13 0 68 | 69. | 69 tranthidung 1292764 6 16 1 17 0 98 | 70. | 70 xtraelv 897509 6 17 2 19 0 104 | |----------------------------------------------------------------------------------------| 71. | 71 Xal0lex 1068464 5 10 2 12 0 116 | 72. | 72 mole0815 1424178 5 11 2 13 0 73 | 73. | 73 Lauda 101872 5 14 2 16 0 238 | 74. | 74 Coding Enthusiast 879277 5 14 0 14 0 116 | 75. | 75 CryptopreneurBrainboss 1052091 5 14 0 14 0 81 | |----------------------------------------------------------------------------------------| 76. | 76 Toxic2040 239406 5 19 0 19 0 105 | 77. | 77 satoshi 3 5 21 1 22 0 482 | 78. | 78 Foxpup 55384 4 9 1 10 0 88 | 79. | 79 Alex_Sr 1762404 4 11 0 11 0 103 | 80. | 80 aundroid 1015954 4 11 0 11 0 64 | |----------------------------------------------------------------------------------------| 81. | 81 madnessteat 1894120 4 15 0 15 0 54 | 82. | 82 Piggy 188198 4 15 0 15 0 85 | 83. | 83 Welsh 84521 3 8 1 9 0 103 | 84. | 84 pandukelana2712 1304130 3 9 0 9 0 94 | 85. | 85 PHI16168 1071136 3 10 0 10 0 85 | |----------------------------------------------------------------------------------------| 86. | 86 wwzsocki 131333 3 11 0 11 0 70 | 87. | 87 SaltySpitoon 38894 3 12 0 12 0 94 | 88. | 88 lovesmayfamilis 1982152 3 17 0 17 0 45 | 89. | 89 TheNewAnon135246 153656 2 6 0 6 0 133 | 90. | 90 Blacknavy 1018510 2 8 0 8 0 121 | |----------------------------------------------------------------------------------------| 91. | 91 TMAN 98986 2 11 0 11 0 275 | 92. | 92 Kalemder 487377 1 7 0 7 0 161 | 93. | 93 tyKiwanuka 1025255 1 8 0 8 0 107 | 94. | 94 eddie13 580327 1 11 0 11 0 122 | 95. | 95 nullius 976210 0 6 0 6 0 180 | |----------------------------------------------------------------------------------------| 96. | 96 Corrosive 2005913 0 6 0 6 0 172 | 97. | 97 theyoungmillionaire 1180530 0 12 0 12 0 104 | 98. | 98 Rikafip 2658890 0 12 0 12 0 100 | 99. | 99 masulum 1283017 0 13 0 13 0 61 | 100. | 100 Ratimov 2627711 0 14 0 14 0 93 | +----------------------------------------------------------------------------------------+
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Converted dataset: - In 2020 at 01may2020 02:51:51 (GMT time)
- The last one, with dayid = 829 is an incomplete day.
+-----------------------------------------------------------------+ | dayid date merit dofw week month year | |-----------------------------------------------------------------| 708. | 708 01jan2020 810 Wednesday 2020w1 2020m1 2020 | 709. | 709 02jan2020 854 Thursday 2020w1 2020m1 2020 | 710. | 710 03jan2020 837 Friday 2020w1 2020m1 2020 | 711. | 711 04jan2020 637 Saturday 2020w1 2020m1 2020 | 712. | 712 05jan2020 777 Sunday 2020w1 2020m1 2020 | |-----------------------------------------------------------------| 713. | 713 06jan2020 959 Monday 2020w1 2020m1 2020 | 714. | 714 07jan2020 871 Tuesday 2020w1 2020m1 2020 | 715. | 715 08jan2020 860 Wednesday 2020w2 2020m1 2020 | 716. | 716 09jan2020 733 Thursday 2020w2 2020m1 2020 | 717. | 717 10jan2020 745 Friday 2020w2 2020m1 2020 | |-----------------------------------------------------------------| 718. | 718 11jan2020 743 Saturday 2020w2 2020m1 2020 | 719. | 719 12jan2020 689 Sunday 2020w2 2020m1 2020 | 720. | 720 13jan2020 754 Monday 2020w2 2020m1 2020 | 721. | 721 14jan2020 871 Tuesday 2020w2 2020m1 2020 | 722. | 722 15jan2020 979 Wednesday 2020w3 2020m1 2020 | |-----------------------------------------------------------------| 723. | 723 16jan2020 972 Thursday 2020w3 2020m1 2020 | 724. | 724 17jan2020 1063 Friday 2020w3 2020m1 2020 | 725. | 725 18jan2020 823 Saturday 2020w3 2020m1 2020 | 726. | 726 19jan2020 1192 Sunday 2020w3 2020m1 2020 | 727. | 727 20jan2020 1136 Monday 2020w3 2020m1 2020 | |-----------------------------------------------------------------| 728. | 728 21jan2020 1082 Tuesday 2020w3 2020m1 2020 | 729. | 729 22jan2020 863 Wednesday 2020w4 2020m1 2020 | 730. | 730 23jan2020 1050 Thursday 2020w4 2020m1 2020 | 731. | 731 24jan2020 1061 Friday 2020w4 2020m1 2020 | 732. | 732 25jan2020 1043 Saturday 2020w4 2020m1 2020 | |-----------------------------------------------------------------| 733. | 733 26jan2020 715 Sunday 2020w4 2020m1 2020 | 734. | 734 27jan2020 961 Monday 2020w4 2020m1 2020 | 735. | 735 28jan2020 953 Tuesday 2020w4 2020m1 2020 | 736. | 736 29jan2020 1051 Wednesday 2020w5 2020m1 2020 | 737. | 737 30jan2020 1125 Thursday 2020w5 2020m1 2020 | |-----------------------------------------------------------------| 738. | 738 31jan2020 1072 Friday 2020w5 2020m1 2020 | 739. | 739 01feb2020 705 Saturday 2020w5 2020m2 2020 | 740. | 740 02feb2020 836 Sunday 2020w5 2020m2 2020 | 741. | 741 03feb2020 908 Monday 2020w5 2020m2 2020 | 742. | 742 04feb2020 1059 Tuesday 2020w5 2020m2 2020 | |-----------------------------------------------------------------| 743. | 743 05feb2020 873 Wednesday 2020w6 2020m2 2020 | 744. | 744 06feb2020 932 Thursday 2020w6 2020m2 2020 | 745. | 745 07feb2020 800 Friday 2020w6 2020m2 2020 | 746. | 746 08feb2020 763 Saturday 2020w6 2020m2 2020 | 747. | 747 09feb2020 724 Sunday 2020w6 2020m2 2020 | |-----------------------------------------------------------------| 748. | 748 10feb2020 812 Monday 2020w6 2020m2 2020 | 749. | 749 11feb2020 669 Tuesday 2020w6 2020m2 2020 | 750. | 750 12feb2020 596 Wednesday 2020w7 2020m2 2020 | 751. | 751 13feb2020 1047 Thursday 2020w7 2020m2 2020 | 752. | 752 14feb2020 1041 Friday 2020w7 2020m2 2020 | |-----------------------------------------------------------------| 753. | 753 15feb2020 890 Saturday 2020w7 2020m2 2020 | 754. | 754 16feb2020 790 Sunday 2020w7 2020m2 2020 | 755. | 755 17feb2020 1364 Monday 2020w7 2020m2 2020 | 756. | 756 18feb2020 1195 Tuesday 2020w7 2020m2 2020 | 757. | 757 19feb2020 1004 Wednesday 2020w8 2020m2 2020 | |-----------------------------------------------------------------| 758. | 758 20feb2020 782 Thursday 2020w8 2020m2 2020 | 759. | 759 21feb2020 1050 Friday 2020w8 2020m2 2020 | 760. | 760 22feb2020 729 Saturday 2020w8 2020m2 2020 | 761. | 761 23feb2020 724 Sunday 2020w8 2020m2 2020 | 762. | 762 24feb2020 1037 Monday 2020w8 2020m2 2020 | |-----------------------------------------------------------------| 763. | 763 25feb2020 988 Tuesday 2020w8 2020m2 2020 | 764. | 764 26feb2020 857 Wednesday 2020w9 2020m2 2020 | 765. | 765 27feb2020 960 Thursday 2020w9 2020m2 2020 | 766. | 766 28feb2020 678 Friday 2020w9 2020m2 2020 | 767. | 767 29feb2020 662 Saturday 2020w9 2020m2 2020 | |-----------------------------------------------------------------| 768. | 768 01mar2020 651 Sunday 2020w9 2020m3 2020 | 769. | 769 02mar2020 755 Monday 2020w9 2020m3 2020 | 770. | 770 03mar2020 674 Tuesday 2020w9 2020m3 2020 | 771. | 771 04mar2020 572 Wednesday 2020w10 2020m3 2020 | 772. | 772 05mar2020 727 Thursday 2020w10 2020m3 2020 | |-----------------------------------------------------------------| 773. | 773 06mar2020 622 Friday 2020w10 2020m3 2020 | 774. | 774 07mar2020 697 Saturday 2020w10 2020m3 2020 | 775. | 775 08mar2020 670 Sunday 2020w10 2020m3 2020 | 776. | 776 09mar2020 634 Monday 2020w10 2020m3 2020 | 777. | 777 10mar2020 700 Tuesday 2020w10 2020m3 2020 | |-----------------------------------------------------------------| 778. | 778 11mar2020 800 Wednesday 2020w11 2020m3 2020 | 779. | 779 12mar2020 790 Thursday 2020w11 2020m3 2020 | 780. | 780 13mar2020 748 Friday 2020w11 2020m3 2020 | 781. | 781 14mar2020 562 Saturday 2020w11 2020m3 2020 | 782. | 782 15mar2020 528 Sunday 2020w11 2020m3 2020 | |-----------------------------------------------------------------| 783. | 783 16mar2020 888 Monday 2020w11 2020m3 2020 | 784. | 784 17mar2020 793 Tuesday 2020w11 2020m3 2020 | 785. | 785 18mar2020 1090 Wednesday 2020w12 2020m3 2020 | 786. | 786 19mar2020 867 Thursday 2020w12 2020m3 2020 | 787. | 787 20mar2020 999 Friday 2020w12 2020m3 2020 | |-----------------------------------------------------------------| 788. | 788 21mar2020 628 Saturday 2020w12 2020m3 2020 | 789. | 789 22mar2020 549 Sunday 2020w12 2020m3 2020 | 790. | 790 23mar2020 683 Monday 2020w12 2020m3 2020 | 791. | 791 24mar2020 787 Tuesday 2020w12 2020m3 2020 | 792. | 792 25mar2020 786 Wednesday 2020w13 2020m3 2020 | |-----------------------------------------------------------------| 793. | 793 26mar2020 855 Thursday 2020w13 2020m3 2020 | 794. | 794 27mar2020 934 Friday 2020w13 2020m3 2020 | 795. | 795 28mar2020 658 Saturday 2020w13 2020m3 2020 | 796. | 796 29mar2020 452 Sunday 2020w13 2020m3 2020 | 797. | 797 30mar2020 909 Monday 2020w13 2020m3 2020 | |-----------------------------------------------------------------| 798. | 798 31mar2020 798 Tuesday 2020w13 2020m3 2020 | 799. | 799 01apr2020 858 Wednesday 2020w14 2020m4 2020 | 800. | 800 02apr2020 1062 Thursday 2020w14 2020m4 2020 | 801. | 801 03apr2020 805 Friday 2020w14 2020m4 2020 | 802. | 802 04apr2020 943 Saturday 2020w14 2020m4 2020 | |-----------------------------------------------------------------| 803. | 803 05apr2020 661 Sunday 2020w14 2020m4 2020 | 804. | 804 06apr2020 846 Monday 2020w14 2020m4 2020 | 805. | 805 07apr2020 886 Tuesday 2020w14 2020m4 2020 | 806. | 806 08apr2020 875 Wednesday 2020w15 2020m4 2020 | 807. | 807 09apr2020 687 Thursday 2020w15 2020m4 2020 | |-----------------------------------------------------------------| 808. | 808 10apr2020 758 Friday 2020w15 2020m4 2020 | 809. | 809 11apr2020 615 Saturday 2020w15 2020m4 2020 | 810. | 810 12apr2020 660 Sunday 2020w15 2020m4 2020 | 811. | 811 13apr2020 592 Monday 2020w15 2020m4 2020 | 812. | 812 14apr2020 907 Tuesday 2020w15 2020m4 2020 | |-----------------------------------------------------------------| 813. | 813 15apr2020 734 Wednesday 2020w16 2020m4 2020 | 814. | 814 16apr2020 763 Thursday 2020w16 2020m4 2020 | 815. | 815 17apr2020 827 Friday 2020w16 2020m4 2020 | 816. | 816 18apr2020 752 Saturday 2020w16 2020m4 2020 | 817. | 817 19apr2020 627 Sunday 2020w16 2020m4 2020 | |-----------------------------------------------------------------| 818. | 818 20apr2020 626 Monday 2020w16 2020m4 2020 | 819. | 819 21apr2020 723 Tuesday 2020w16 2020m4 2020 | 820. | 820 22apr2020 700 Wednesday 2020w17 2020m4 2020 | 821. | 821 23apr2020 687 Thursday 2020w17 2020m4 2020 | 822. | 822 24apr2020 706 Friday 2020w17 2020m4 2020 | |-----------------------------------------------------------------| 823. | 823 25apr2020 639 Saturday 2020w17 2020m4 2020 | 824. | 824 26apr2020 663 Sunday 2020w17 2020m4 2020 | 825. | 825 27apr2020 654 Monday 2020w17 2020m4 2020 | 826. | 826 28apr2020 490 Tuesday 2020w17 2020m4 2020 | 827. | 827 29apr2020 795 Wednesday 2020w18 2020m4 2020 | |-----------------------------------------------------------------| 828. | 828 30apr2020 983 Thursday 2020w18 2020m4 2020 | 829. | 829 01may2020 27 Friday 2020w18 2020m5 2020 | +-----------------------------------------------------------------+
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It seems that on the new beta site we can manually select the priority of withdrawals (fast, normal, slow). This surely affects the transaction fees. I didn't see the same options on the old website. Do you have any plans to introduce it there as well?
I would like to see them, but if there are different options for transaction fees as you suggested, I think there should be additional rules/ warnings on support tickets. - Fast: if your transactions are not yet confirmed after 30 minutes, your support tickets will be considered
- Normal: If your transactions are not yet confirmed after 3 hours, your support tickets will be considered
- Slow: If your transactions are not yet confirmed after 12 hours, your support tickets will be considered
Some thing like these to avoid more support tickets because of over-personalized transaction fees. With such warnings, users will better aware of potential issues for their fee-personalized withdrawals. I guess newbies always want to move with low fees but are not aware of such risks. Warnings are for newbies.
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