ABSTRACT 2020w6, GMT timeData is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w7 and an incomplete day (dayid = 752). Details on days dropped, please see above posts.
Intra-day merits:- Total observed days: 749
- Potential outliers are days that have intraday total merits beyond 165 or 1201
- Median of intraday merits over the period is 660
- 50% of observed days have their intra-day merits range from 553 to 812 (the interquartile range)
- In medians, the highest and lowest days are Tuesday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
- There are 56 potential outliers (beyond 165 or 1201) in total.
- The distribution of outliers over years are: 42 (75%) for 2018, 14 (25%) for 2019, and 0 (0%) 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: 107
- The median of intra-week merits is 4584
- 50% of observed weeks (107 weeks in total), have total merits in the range from 4109 to 5573 (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 1913 or 7769], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397).
|
|
|
|
Intra-week merits (from 24/1/2018 to 11/2/2020)Last 3 days dropped due to incomplete week (2020w7) and an incomplete day (dayid = 752)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 |
+-----------------+
- 50% of observed weeks ( 107 weeks) have total intra-week merits above 4584, whilst the rest 50% of them have total intra-week merits below 4584. 4584 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4109 to 5573 (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 | 107.0 5553.5 3503.4 4584.0 4109.0 5573.0 3186.0 27920.0
----------------------------------------------------------------------------------------------
. di 5573-4109
1464
. di 1464*1.5
2196
. di 5573+2196
7769
. di 4109-2196
1913
It means that potential outliers are weeks that have intra-week merits beyond 1913 or 7769. How many weeks are potential outliers? . count if (merit >= 7769 | merit < 1913) & merit != .
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).  List of weeks in descending weekly meritsThe last week (with 5573 merits) stays at the 27th position, among 105 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 6756 2020w5 |
|------------------------------|
16. | 16 6646 2020w4 |
17. | 17 6542 2018w14 |
18. | 18 6392 2018w13 |
19. | 19 6271 2019w48 |
20. | 20 6102 2019w2 |
|------------------------------|
21. | 21 6066 2019w51 |
22. | 22 5946 2018w15 |
23. | 23 5776 2019w3 |
24. | 24 5745 2020w1 |
25. | 25 5728 2019w13 |
|------------------------------|
26. | 26 5596 2019w20 |
27. | 27 5573 2020w6 |
28. | 28 5395 2020w2 |
29. | 29 5375 2019w43 |
30. | 30 5373 2019w24 |
|------------------------------|
31. | 31 5253 2019w15 |
32. | 32 5160 2019w42 |
33. | 33 5043 2018w18 |
34. | 34 5002 2019w19 |
35. | 35 4979 2019w10 |
|------------------------------|
36. | 36 4880 2019w16 |
37. | 37 4832 2019w50 |
38. | 38 4820 2018w17 |
39. | 39 4817 2019w18 |
40. | 40 4816 2019w44 |
|------------------------------|
41. | 41 4753 2019w45 |
42. | 42 4726 2019w9 |
43. | 43 4701 2019w41 |
44. | 44 4695 2019w14 |
45. | 45 4693 2019w21 |
|------------------------------|
46. | 46 4690 2019w12 |
47. | 47 4685 2018w19 |
48. | 48 4684 2018w26 |
49. | 49 4672 2019w26 |
50. | 50 4650 2019w49 |
|------------------------------|
51. | 51 4629 2019w25 |
52. | 52 4606 2018w47 |
53. | 53 4597 2019w23 |
54. | 54 4584 2019w1 |
55. | 55 4582 2019w4 |
|------------------------------|
56. | 56 4574 2018w25 |
57. | 57 4508 2018w39 |
58. | 58 4505 2019w6 |
59. | 59 4473 2018w23 |
60. | 60 4462 2019w28 |
|------------------------------|
61. | 61 4449 2018w16 |
62. | 62 4431 2018w20 |
63. | 63 4424 2018w42 |
64. | 64 4408 2019w5 |
65. | 65 4386 2018w43 |
|------------------------------|
66. | 66 4382 2019w38 |
67. | 67 4377 2019w30 |
68. | 68 4367 2018w27 |
69. | 69 4348 2019w39 |
70. | 70 4342 2019w22 |
|------------------------------|
71. | 71 4325 2018w40 |
72. | 72 4314 2019w8 |
73. | 73 4295 2019w11 |
74. | 74 4277 2018w29 |
75. | 75 4260 2019w17 |
|------------------------------|
76. | 76 4259 2019w7 |
77. | 77 4248 2018w22 |
78. | 78 4209 2019w40 |
79. | 79 4199 2018w32 |
80. | 80 4175 2018w45 |
|------------------------------|
81. | 81 4109 2018w28 |
82. | 82 4047 2018w46 |
83. | 83 4005 2019w37 |
84. | 84 4005 2019w29 |
85. | 85 3981 2018w41 |
|------------------------------|
86. | 86 3965 2019w33 |
87. | 87 3953 2018w24 |
88. | 88 3903 2018w21 |
89. | 89 3882 2019w27 |
90. | 90 3811 2019w34 |
|------------------------------|
91. | 91 3809 2018w30 |
92. | 92 3791 2018w48 |
93. | 93 3767 2018w33 |
94. | 94 3763 2018w34 |
95. | 95 3689 2018w50 |
|------------------------------|
96. | 96 3687 2018w52 |
97. | 97 3683 2019w36 |
98. | 98 3615 2018w51 |
99. | 99 3603 2019w31 |
100. | 100 3596 2018w49 |
|------------------------------|
101. | 101 3586 2018w37 |
102. | 102 3579 2019w35 |
103. | 103 3536 2018w36 |
104. | 104 3489 2018w31 |
105. | 105 3346 2019w32 |
|------------------------------|
106. | 106 3321 2018w44 |
107. | 107 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 Tuesday, Friday, and Thursday at 700, 695, and 690, respectively; whislt the lowest days are Saturday, Sunday, and Wednesday at 596, 613, and 656, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 919, 855, and 813, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 699, 709, and 776, respectively. Basic statistics:Summary for variables: merit
by categories of: dofw
dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
Sunday | 107.0 698.6 372.0 613.0 492.0 764.0 300.0 3240.0
Monday | 107.0 775.6 454.7 659.0 553.0 850.0 370.0 3343.0
Tuesday | 107.0 813.0 499.3 700.0 592.0 871.0 339.0 3826.0
Wednesday | 107.0 784.4 455.3 656.0 599.0 832.0 347.0 4103.0
Thursday | 107.0 918.3 1271.2 690.0 573.0 817.0 411.0 12676.0
Friday | 107.0 854.7 790.5 695.0 561.0 831.0 373.0 6348.0
Saturday | 107.0 708.9 488.7 596.0 501.0 736.0 375.0 4627.0
----------+--------------------------------------------------------------------------------
Total | 749.0 793.4 685.7 660.0 553.0 812.0 300.0 12676.0
-------------------------------------------------------------------------------------------
Outliers displayed as red circles.  ] Outliers non-displayed. Details on ranks:In medians +----------------------------------------------------------------------+
| rankmedian dofw median mean p25 p75 min max |
|----------------------------------------------------------------------|
1. | 1 Tuesday 700 813.028 592 871 339 3826 |
2. | 2 Friday 695 854.7383 561 831 373 6348 |
3. | 3 Thursday 690 918.2711 573 817 411 12676 |
4. | 4 Monday 659 775.6168 553 850 370 3343 |
5. | 5 Wednesday 656 784.4299 599 832 347 4103 |
|----------------------------------------------------------------------|
6. | 6 Sunday 613 698.5888 492 764 300 3240 |
7. | 7 Saturday 596 708.8505 501 736 375 4627 |
+----------------------------------------------------------------------+
In means +--------------------------------------------------------------------+
| rankmean dofw mean median p25 p75 min max |
|--------------------------------------------------------------------|
1. | 1 Thursday 918.2711 690 573 817 411 12676 |
2. | 2 Friday 854.7383 695 561 831 373 6348 |
3. | 3 Tuesday 813.028 700 592 871 339 3826 |
4. | 4 Wednesday 784.4299 656 599 832 347 4103 |
5. | 5 Monday 775.6168 659 553 850 370 3343 |
|--------------------------------------------------------------------|
6. | 6 Saturday 708.8505 596 501 736 375 4627 |
7. | 7 Sunday 698.5888 613 492 764 300 3240 |
+--------------------------------------------------------------------+
|
|
|
|
During the period from 24/1/2018 to 11/2/2020 (last 3 days dropped due to incomplete week, 2020w7 and an incomplete day - dayid = 752), 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 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 |
43. | 43 1345 38 02mar2018 Friday 2018w9 2018m3 2018 |
44. | 44 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 |
45. | 45 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 |
|-----------------------------------------------------------------------------|
46. | 46 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 |
47. | 47 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 |
48. | 48 1289 27 19feb2018 Monday 2018w8 2018m2 2018 |
49. | 49 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 |
50. | 50 1249 31 23feb2018 Friday 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. | 4 347 330 19dec2018 Wednesday 2018w51 2018m12 2018 |
5. | 5 347 299 18nov2018 Sunday 2018w46 2018m11 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. | 14 378 305 24nov2018 Saturday 2018w47 2018m11 2018 |
15. | 15 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 |
|-----------------------------------------------------------------------------|
16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 |
17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 |
18. | 18 385 327 16dec2018 Sunday 2018w50 2018m12 2018 |
19. | 19 385 215 26aug2018 Sunday 2018w34 2018m8 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. | 23 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 |
24. | 24 401 557 03aug2019 Saturday 2019w31 2019m8 2019 |
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. | 47 441 319 08dec2018 Saturday 2018w49 2018m12 2018 |
48. | 48 441 404 03mar2019 Sunday 2019w9 2019m3 2019 |
49. | 49 442 278 28oct2018 Sunday 2018w43 2018m10 2018 |
50. | 50 442 342 31dec2018 Monday 2018w52 2018m12 2018 |
+-----------------------------------------------------------------------------+
|
|
|
|
Time-series plots:Full dataset:Truncated dataset:
Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w7 (daydi = 750, 751), the incomplete week & incomlete day (dayid = 752).
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 749 793.3605 685.7131 660 553 812 300 12676
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 165 or 1201. . di 812-553
259
. di 259*1.5
388.5
. di 812+388.5
1200.5
. di 553-388.5
164.5
There are 56 outliers (beyond 1202 or 162) in full dataset, in total. . count if (merit >= 1201 | merit <= 165) & merit != .
56
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 |
58. | 58 1211 22mar2018 |
237. | 237 2553 17sep2018 |
238. | 238 1807 18sep2018 |
239. | 239 1347 19sep2018 |
240. | 240 1221 20sep2018 |
|---------------------------|
429. | 429 1247 28mar2019 |
476. | 476 1215 14may2019 |
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 |
+---------------------------+
- 2018: 42 (75%)
- 2019: 14 (25%)
- 2020: 0 (0%)
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I found a rather large folder on my computer simply called "Bitcoin", but I can't find a wallet/program connected with it. Anyone know which wallet it belongs to? https://i.ibb.co/MShK162/wafafgasg.pngYou have to do backup of the wallet.dat before installing the latest version of Bitcoin Core 0.19.0.1. The link to download it is at https://bitcoin.org/en/download - you sometimes see that link in the top left corner of the forum. Backup, how many backup do you need? You should make multiple backup of your wallet.dat and use one of them to recover your Bitcoin Core. In case one of your backup will be broken in the recovery process, you will be safe and have other backups to recover it again. This thread will help you: [overview] Recover Bitcoin from any old storage format |
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theymos wrote his guide: Topic title style guide. You can read all of his guide, but in this thread I want to focus on this part only. Some people like to put "tags" in the title within brackets. Like "[GLBSE] [ANNOUNCE] ASDF: Generic asset". I personally don't like this style. I prefer to include the tag info within the sentence, like "Announcing ASDF, a generic asset on GLBSE". When tags are really necessary, it may indicate that a new subforum should be created.
I see some threads have titles with tags, but the most annoying (for newbies) is The tag is annoying when you want to mention about that thread, with url and topic title. Then, when you make your post, it will be broken because of the List tag. If you know it, you will edit the title to {LIST} or {list}, just don't use bracket block. Anyway, as I pointed out, it is annoying and troubles for people who don't know what is real issue and method to fix it. Honestly, when I firstly faced with such troubles, I did not know what are issues.
My advice:- Don't include List tag in your thread's title.
- If you still want to use List tag, please use: {List}, {LIST}, or List/ LIST
I give you an example at the end to help you see what is the break List tag causes. Open Merit Source Applications,waiting list.[/url]
Do you see that the thread I want to present is broken, it should be:
[url=https://bitcointalk.org/index.php?topic=5197548.0][LIST] Open Merit Source Applications,waiting list.[/url]
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The detection algorithm has spotted new merit sources:
1) kryptqnick
2) pawel7777
I understand your merit-source-detecting algorithm but I don't know when you detected those two users as potential merit sources? Their names are not listed in {LIST}Open Merit Source Applications,waiting list.The latest new merit source allocation happened in November of 2019, around 4 months ago. I know admin can remove two sources and add two new ones but it is not what I think of, honestly. Dataset: +-------------------------------------------------------------+
| id day month2 year date meritsource smerit |
|-------------------------------------------------------------|
1. | 1 24 1 2018 24jan2018 35 8125 |
2. | 2 26 1 2018 26jan2018 49 9025 |
3. | 3 1 3 2018 01mar2018 57 11975 |
4. | 4 12 3 2018 12mar2018 77 17650 |
5. | 5 22 3 2018 22mar2018 80 17800 |
|-------------------------------------------------------------|
6. | 6 18 5 2018 18may2018 80 18500 |
7. | 7 6 7 2018 06jul2018 82 18900 |
8. | 8 11 7 2018 11jul2018 83 19100 |
9. | 9 17 9 2018 17sep2018 120 23045 |
10. | 10 17 11 2018 17nov2018 119 22045 |
|-------------------------------------------------------------|
11. | 11 22 12 2018 22dec2018 120 22055 |
12. | 12 5 1 2019 05jan2019 123 20735 |
13. | 13 6 2 2019 06feb2019 122 20835 |
14. | 14 15 3 2019 15mar2019 130 20605 |
15. | 15 27 6 2019 27jun2019 131 21045 |
|-------------------------------------------------------------|
16. | 16 30 10 2019 30oct2019 130 20895 |
17. | 17 14 11 2019 14nov2019 90 18821 |
18. | 18 15 11 2019 15nov2019 98 21671 |
+-------------------------------------------------------------+
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If I were you, I would not do that, giving away merit is an objective matter for every person, whenever we see a worthy article, we can post it send merit, it may be random. However, it may be one, maybe 10, it doesn't matter, it should not be restricted  There are always special cases when you give more than your max daily cap (if you set yours) but I still believe it is better to have a max daily cap. whenever I see posts from you, it will be statistics, analysis, calculations and data, ... WHY???  I am stat enthusiast and not all of my posts or threads are related to statistics. See  We are human, let's act based on our emotions and thoughts, don't work like a robot, figures are not everything, there are no rules here.
Statistics are not everything on the forum but theymos (the core admin) has to rely on statistics (from his own algorithms) in order to make changes or improvements on the forum.
I do neither attack OP (cabalism13) nor the Pilipinas local board (I visited that board sometimes and gave some of my merits to their locals as well). Statistics I gave above disclose the fact that board is one of the most active local boards on the forum. To decide adding new merit sources or increase monthly sMerits for each or some specific current merit sources in that board, I don't know it will become true or not. I do neither know how many merit sources are in that board nor how many sMerits allocated for it monthly. Those figures compared to those figures of the whole forum make sense for any potential changes. In total, the forum has: - 98 merit sources
- 21671 sMerits allocated monthly
Source: https://bitcointalk.org/index.php?action=merit;stats=sourcesIf you are curious about historical changes in merit sources, see at: Merit source observations
To be honest, I didn't understand how we could calculate the amount of sMerit we get
There are two available services for you: But it is unnecessary to use those services just to know how many sMerits you have left. Let's click on the merit button and you will be directed to a page, on which you will find your available sMerits. |
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Temp-ban data are not included in the modlog. With temp-bans, users can still wear their signatures so there is no way to detect them, technically, AFAIK. Lol say what? The first time, he didn't know it wasn't allowed. I would have expected him to learn from that ban.
So my guess is the ban got longer this time?
I think that is expected. My wild guess is that it would be around 2 weeks, a month or it varies from the rule broke. They are not fixed offfence for all but maybe it is 2-week temp-ban this time. First offence: 7 days
Second offence: 14 days
Third offence: 30 days
Fourth: Permanent ban
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I am not a merit source (I planned to make my source application on the beautiful day 02/02/2020 but I did not finish it as consequence of something unexpected) but I have my strategies to do if I am a source: - Setting up a max cap of daily smerits will be given away.
- Filling the gaps of un-used sMerits of previous days (if you don't find good posts to give away)
- Never pre-use your self-allocated sMerits.
I could be wrong but obeying these rules will help you lifting up the level of quality of posts you will give your sMerits on. For example, if I set up my daily cap at 5, I must find only 5 best posts each day to send my 5 sMerits to. There are days you find many good posts (more than 5, and you will have to choose the best 5) and days you did not find a single good post. I have some statistics for your local (all outdated ones). Your local is the sixth most actively local boards on the forum, based on statistics. Based on the criteria, the top 5 active local boards are: - Russian: 1505 posts/day
- Indonesian: 545 posts/day
- Turkish: 376 posts/day
- Chinese: 213 posts/day
- Pilipinas: 174 posts/day
There are two sets of criteria but I would like to choose the rankpost. There is no reasons for now to combine two criteria sets. Details: +-----------------------------------------------------------------------------------------------------------------------------+
| rankpost ranktopic boardname npost_daily ntopics_daily npost ntopics daysbetween birthday today |
|-----------------------------------------------------------------------------------------------------------------------------|
1. | 1 1 Russian 1356.2 36.3 4626017 123808 3411 28jul2010 29nov2019 |
2. | 2 5 Indonesian 545 6.5 1049600 12574 1926 21aug2014 29nov2019 |
3. | 3 3 Turkish 375.2 16 889951 38038 2372 01jun2013 29nov2019 |
4. | 4 2 Chinese 212.9 28.9 658643 89330 3093 11jun2011 29nov2019 |
5. | 5 6 Pilipinas 173.4 5.5 241878 7642 1395 03feb2016 29nov2019 |
Ranks in total posts per day (ntopics_daily): +------------------------------------------+
| ranktopic boardname ntopics_daily |
|------------------------------------------|
1. | 1 Russian 36.3 |
2. | 2 Chinese 28.9 |
3. | 3 Turkish 16 |
4. | 4 German 7.8 |
5. | 5 Indonesian 6.5 |
|------------------------------------------|
6. | 6 Pilipinas 5.5 |
In median, there are 7 merits distributed daily on your board (it is an outdate figure, and I guess the statistics has been risen recent months, but not too significantly). 6. Pilipinas variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 555.0 11.8 18.9 7.0 3.0 15.0 1.0 331.0
----------------------------------------------------------------------------------------------
Outliers are days have intra-day merits above 33. . di 15-3
12
. di 12*1.5
18
. di 15 + 18
33
Most of outliers occured since the April of 2019. Lots of effects from merit sources in that board, definitely. +-------------------+
| date merit |
|-------------------|
2. | 26jan2018 48 |
3. | 27jan2018 46 |
5. | 29jan2018 33 |
6. | 30jan2018 51 |
72. | 08apr2018 52 |
75. | 12apr2018 55 |
85. | 24apr2018 46 |
133. | 19jun2018 64 |
155. | 11jul2018 83 |
|-------------------|
329. | 26apr2019 36 |
347. | 15may2019 61 |
352. | 20may2019 37 |
370. | 07jun2019 40 |
372. | 09jun2019 331 |
375. | 12jun2019 51 |
376. | 13jun2019 40 |
377. | 14jun2019 48 |
378. | 15jun2019 47 |
383. | 20jun2019 34 |
409. | 17jul2019 39 |
413. | 21jul2019 84 |
420. | 28jul2019 36 |
421. | 29jul2019 65 |
441. | 18aug2019 90 |
478. | 26sep2019 92 |
482. | 30sep2019 33 |
483. | 01oct2019 38 |
488. | 06oct2019 61 |
495. | 13oct2019 34 |
497. | 15oct2019 40 |
500. | 18oct2019 41 |
514. | 01nov2019 55 |
520. | 07nov2019 38 |
522. | 09nov2019 33 |
539. | 26nov2019 61 |
540. | 27nov2019 53 |
+-------------------+
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While I only think that reporting spam posts every time we find it is a mandatory action and dont ignoring it so that the moderator can consider the appropriate punishment given to them.
Freedom is the basic of the forum. There is nothing mandatory required for all. Even rules, we only have unofficial ones. Regarding to what you all discussed about the negative feedback on spammers (or neutral), let's see theymos' opinion on this. In particular, in my view:
- Giving negative trust for being an annoying poster is inappropriate, since this has nothing to do with their trustworthiness. If they're disrupting discussion or never adding anything, then that's something for moderators to deal with, and you should report their posts and/or complain in Meta about it.
As far as I know of, @The Pharmacist and @actmyname are the two (at least ?) who pioneered to leave negative feedbacks on spammers because of massively terrible spam endemic on the forum circa late of 2017 and early of 2018. I don't know where they began to report and tag spammers but I read their replies in some threads about their works back in that period. They claimed that they stopped leaving negative trusts and reports (reduce in intensity) after the merit system was kicked-off. |
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Well, I haven't received official word, yet. But I'll change my signature and avatar now. Welcome back after your very long holidays, bones261. I don't know you in real life as well as have not yet contacted with each other but we crossed over on the forum sometimes. |
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I'll definitely be expecting lots of goals from the Dortmund - PSG clash, both teams are free-scoring and play open, attractive football.
PSG has better players than Dortmund but who knows, it is the Champions League, where PSG got many defeats recent seasons. Dortmund, despite of their ups and downs, had some greater match results in Champions League than PSG. They have better history in Champions League, I meant. I bet on PSG because such team like them need to go as far as possible in order to keep the Champions Leauge as attractive as possible. This is the match I'll be watching tomorrow, Diego simeone and athletico know how to play a very tight game, with little chances and few goals and I think that's how tomorrow's game is going to be(both legs even).
Athletico Madrid might win at very small different in score. The odds between home-away goals will be important. |
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I need another loan. Could you help me, please ? Thank you. Request For a No Collateral Loan from DarkStarRequired BTC Amount: 0.06 BTCEstimated Loan Duration: 30 days BTC Address: 16J4EgmFpiWBtji3WNyyqXQPcqnX6Z4JRA Signed Message: -----BEGIN BITCOIN SIGNED MESSAGE-----
This is tranthidung from bitcointalk and today is the 2nd of January, 2020.
I am asking DarkStar_ for a 0.06 BTC loan.
Duration : 30 days max.
If accepted, please send 0.06 BTC to : 16J4EgmFpiWBtji3WNyyqXQPcqnX6Z4JRA
-----BEGIN SIGNATURE-----
bc1qkjrr4u80fpyk59nlrlmzyfxfe37smauherfvfr
IDc+nWbkoDGZYp+h3IHVf8StMmwICesUnHiZsMfLUf/NWNzrLoUGBsZ9gu+yoF3REc1XmE9uIlLJ9xIhZOPZOxs=
-----END BITCOIN SIGNED MESSAGE----- Sorry, I edited the sign message a bit because the initial one contains incorrect year. Now, it is correct. Accepted, BTC sent: https://blockchair.com/bitcoin/transaction/cc497a7f374070de4643ee64401eb0eaaae95f78d3d939141d0eba413d9c7118As discussed yesterday, I made my loan repayment today. It should be late of yesterday, but I was busy and could not do it on time. I am sorry for a little bit later loan repayment. . di (0.06*.234/100*47)+0.06
.0665988
Oops! I forgot to re-check the final withdrawal amount (after fees charged), then it left 0.0662 only. Please let me pay the rest with my next loan.  Txid: https://blockchair.com/bitcoin/transaction/2fb7ac803622be21f01cb6606a8a99e792c205d4874269a39ba330f03716ecea |
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Converted dataset: - In 2020 at 14feb2020 02:37:50 (GMT time)
- The last one, with dayid = 752 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 122 Friday 2020w7 2020m2 2020 |
+----------------------------------------------------------------+
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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.
+-----------------------------------------------------------------------------------------------------------------------------------------------------+
| username userid rank_total rank_median total median mean p25 p75 min max nsenders ntransactions nposts |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
1. | theymos 35 1 4 6521 28 60.38 11.5 66 2 1328 922 2460 487 |
2. | LoyceV 459836 2 1 4759 41.5 44.06 22.5 58.5 2 115 555 2557 1195 |
3. | suchmoon 234771 3 3 3703 30.5 34.29 17 46.5 0 148 372 2112 1312 |
4. | o_e_l_e_o 1188543 4 2 3476 30.5 32.19 15.5 44 0 101 356 1907 1201 |
5. | DdmrDdmr 1582324 5 6 3312 25 30.67 15 41 0 106 346 1721 910 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
6. | micgoossens 1067333 6 5 3250 28 30.09 17 40.5 0 100 299 2089 1331 |
7. | fillippone 1852120 7 27 2424 9 22.44 0 33.5 0 141 243 1333 634 |
8. | Last of the V8s 479624 8 7 2409 21 22.31 9 31.5 0 64 220 1700 1169 |
9. | The Pharmacist 487418 9 8 2339 16.5 21.66 10 30.5 0 93 295 1246 882 |
10. | gmaxwell 11425 10 19 2224 10.5 20.59 3 24 0 162 147 690 265 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
11. | satoshi 3 11 75 2170 5 20.09 1.5 21.5 0 482 252 348 62 |
12. | achow101 290195 12 9 2082 15 19.28 8 26.5 0 77 161 1067 447 |
13. | mikeywith 2033515 13 10 1935 15 17.92 0 29 0 92 211 1130 624 |
14. | 1miau 2143453 14 35 1890 9 17.5 2 26 0 100 235 1145 517 |
15. | hilariousetc 397737 15 15 1840 12.5 17.04 5 23 0 90 200 856 520 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
16. | xhomerx10 120694 16 18 1766 11.5 16.35 5.5 20 0 121 201 986 569 |
17. | nutildah 317618 17 13 1722 12.5 15.94 1 24.5 0 81 246 943 593 |
18. | HCP 867786 18 12 1721 12.5 15.94 5 21.5 0 69 212 1001 640 |
19. | LFC_Bitcoin 379487 19 14 1656 12.5 15.33 6 22.5 0 61 196 1250 902 |
20. | abhiseshakana 1878246 20 17 1609 11.5 14.9 2.5 22.5 0 73 115 872 448 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
21. | iasenko 1291828 21 20 1599 10.5 14.81 5 24 0 52 270 830 373 |
22. | VB1001 1138727 22 21 1563 10 14.47 0 23 0 98 176 1187 699 |
23. | Hhampuz 881377 23 56 1558 6.5 14.43 3 17.5 0 92 281 683 318 |
24. | HairyMaclairy 181806 24 11 1553 13 14.38 7 19 0 56 152 1226 862 |
25. | Steamtyme 1112531 25 22 1550 10 14.35 3.5 19 0 115 184 698 392 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
26. | xtraelv 897509 26 36 1511 8.5 13.99 2 20 0 104 212 688 312 |
27. | krogothmanhattan 1000199 27 39 1436 8.5 13.3 3 18 0 77 217 636 268 |
28. | qwk 24140 28 29 1434 9 13.28 3 18 0 88 209 768 462 |
29. | JayJuanGee 252510 29 16 1423 12 13.18 5.5 18 0 43 192 1096 891 |
30. | Vod 30747 30 47 1416 7.5 13.11 3 13.5 0 158 283 689 376 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
31. | bob123 579628 31 49 1403 7.5 12.99 2.5 19 0 68 163 847 525 |
32. | Lauda 101872 32 73 1390 5 12.87 1 13.5 0 238 209 617 415 |
33. | Jet Cash 698159 33 28 1359 9 12.58 3 18 0 65 267 792 535 |
34. | marlboroza 787736 34 30 1343 9 12.44 3 14.5 0 79 191 607 371 |
35. | DireWolfM14 2003859 35 64 1343 6 12.44 0 17.5 0 84 185 661 380 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
36. | Veleor 1177936 36 42 1343 8 12.44 0 18.5 0 90 160 702 395 |
37. | pooya87 379147 37 23 1328 10 12.3 4 19 0 42 210 876 585 |
38. | TryNinja 557798 38 24 1318 10 12.2 5 16 0 40 249 853 631 |
39. | gentlemand 155345 39 25 1299 9.5 12.03 5 18 1 74 258 895 682 |
40. | roycilik 1051955 40 37 1289 8.5 11.94 3 18.5 0 48 143 721 290 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
41. | TMAN 98986 41 92 1288 2 11.93 0 11 0 275 212 597 360 |
42. | joniboni 1275282 42 41 1271 8 11.77 5 17 0 54 177 705 412 |
43. | bitmover 1554927 43 31 1267 9 11.73 5 17 0 48 245 810 459 |
44. | tranthidung 1292764 44 78 1234 4.5 11.43 1 15 0 98 220 694 299 |
45. | BitCryptex 1169179 45 52 1231 7 11.4 3 15.5 0 126 142 597 300 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
46. | DarkStar_ 507936 46 54 1229 7 11.38 2 15 0 78 271 681 371 |
47. | yahoo62278 355846 47 71 1225 5 11.34 1 12.5 0 130 352 692 266 |
48. | nullius 976210 48 97 1221 0 11.31 0 3 0 180 185 551 221 |
49. | mu_enrico 1574226 49 38 1214 8.5 11.24 2 16 0 78 117 671 325 |
50. | ETFbitcoin 359716 50 34 1199 9 11.1 3 15 0 50 200 696 477 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
51. | Carlton Banks 64205 51 26 1198 9 11.09 4 15 0 76 152 663 407 |
52. | BobLawblaw 569455 52 32 1195 9 11.06 5 15 0 55 137 916 580 |
53. | Husna QA 1827294 53 40 1195 8.5 11.06 3 15 0 62 122 650 308 |
54. | taikuri13 1855828 54 33 1176 9 10.89 5 17 0 36 116 710 484 |
55. | yogg 140827 55 66 1171 6 10.84 1 13 0 91 124 475 237 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
56. | coinlocket$ 1339716 56 50 1171 7 10.84 2 13.5 0 98 186 569 312 |
57. | morvillz7z 1825672 57 44 1167 8 10.81 1 17 0 58 146 592 282 |
58. | Piggy 188198 58 67 1157 5 10.71 1 16 0 85 190 447 146 |
59. | jojo69 49008 59 45 1156 8 10.7 4 12 0 102 143 798 553 |
60. | witcher_sense 1433865 60 59 1141 6 10.56 0 17 0 76 121 725 304 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
61. | philipma1957 64507 61 46 1140 8 10.56 5 16 0 38 171 600 471 |
62. | Coolcryptovator 1980983 62 48 1137 7.5 10.53 2 14.5 0 64 255 712 329 |
63. | Coding Enthusiast 879277 63 77 1121 5 10.38 0 11 0 116 103 479 159 |
64. | lovesmayfamilis 1982152 64 85 1105 3.5 10.23 0 17 0 45 109 801 332 |
65. | minerjones 346731 65 51 1051 7 9.73 1 14 0 67 104 387 250 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
66. | CryptopreneurBrainboss 1052091 66 81 1040 4 9.63 0 15 0 81 190 569 291 |
67. | hugeblack 1059082 67 63 1038 6 9.61 2 13.5 0 62 206 678 401 |
68. | mocacino 405464 68 58 1032 6.5 9.56 3.5 13 0 48 158 589 331 |
69. | Xal0lex 1068464 69 65 1030 6 9.54 2 12 0 116 120 536 302 |
70. | tvplus006 1311641 70 57 1014 6.5 9.39 0 16.5 0 42 225 695 230 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
71. | theyoungmillionaire 1180530 71 96 1011 1 9.36 0 12 0 104 151 367 117 |
72. | mole0815 1424178 72 79 1003 4.5 9.29 1.5 11.5 0 73 99 647 454 |
73. | SaltySpitoon 38894 73 82 1003 4 9.29 0 12 0 94 99 357 207 |
74. | Toxic2040 239406 74 69 985 5 9.12 0 13.5 0 94 113 693 498 |
75. | Goran_ 1039323 75 43 979 8 9.06 3 13 0 36 112 655 508 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
76. | pandukelana2712 1304130 76 84 968 4 8.96 .5 10.5 0 94 153 531 216 |
77. | aundroid 1015954 77 89 955 3 8.84 0 8 0 64 102 573 308 |
78. | asche 1580039 78 60 954 6 8.83 1 12 0 50 119 611 385 |
79. | nc50lc 1237156 79 68 945 5 8.75 1 11 0 68 152 552 309 |
80. | PHI16168 1071136 80 88 944 3 8.74 0 9.5 0 85 112 336 140 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
81. | Alex_Sr 1762404 81 74 933 5 8.64 1 12 0 103 110 534 340 |
82. | Corrosive 2005913 82 100 927 0 8.58 0 5 0 172 88 227 62 |
83. | eddie13 580327 83 95 925 1.5 8.56 0 11.5 0 122 140 429 252 |
84. | infofront 41175 84 55 924 7 8.56 2 12 0 74 136 655 397 |
85. | wwzsocki 131333 85 86 905 3 8.38 0 11 0 70 145 554 293 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
86. | madnessteat 1894120 86 87 903 3 8.36 0 13.5 0 54 116 526 251 |
87. | mjglqw 886521 87 53 901 7 8.34 3 12 0 48 226 624 428 |
88. | Welsh 84521 88 90 894 3 8.28 1 9 0 103 171 455 234 |
89. | stompix 164749 89 76 892 5 8.26 3 10 0 62 197 522 397 |
90. | actmyame 465017 90 72 881 5 8.16 1 12 0 66 164 448 302 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
91. | ICOEthics 2204241 91 91 880 2 8.15 0 14 0 69 122 506 250 |
92. | igor72 1094195 92 62 879 6 8.14 0 13 0 29 79 456 311 |
93. | Ratimov 2627711 93 99 869 0 8.05 0 1.5 0 72 102 497 285 |
94. | Lafu 805820 94 61 860 6 7.96 2 11 0 41 146 576 338 |
95. | Blacknavy 1018510 95 94 859 2 7.95 0 7 0 121 142 447 213 |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
96. | Quickseller 358020 96 80 858 4 7.94 1 12 0 58 142 424 241 |
97. | Foxpup 55384 97 83 856 4 7.93 .5 9.5 0 88 140 376 202 |
98. | TheNewAnon135246 153656 98 93 850 2 7.87 0 6 0 133 127 286 154 |
99. | masulum 1283017 99 98 850 0 7.87 0 13 0 59 121 494 191 |
100. | TheFuzzStone 679341 100 70 849 5 7.86 2 12 0 53 115 456 235 |
+-----------------------------------------------------------------------------------------------------------------------------------------------------+
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Update 2020w6ABSTRACT- Period: 2018w4 - 2020w7 (forum time).
- Observed weeks: 108
- Incomple weeks: 2018w4, 2020w7.
- The last merit transaction is at 14feb2020 02:37:50 (forum time)
List of top 100 merit earners, sorted descendingly by sum of earned merits: +-------------------------------------------------------+
| rank_total username userid total |
|-------------------------------------------------------|
1. | 1 theymos 35 6521 |
2. | 2 LoyceV 459836 4759 |
3. | 3 suchmoon 234771 3703 |
4. | 4 o_e_l_e_o 1188543 3476 |
5. | 5 DdmrDdmr 1582324 3312 |
|-------------------------------------------------------|
6. | 6 micgoossens 1067333 3250 |
7. | 7 fillippone 1852120 2424 |
8. | 8 Last of the V8s 479624 2409 |
9. | 9 The Pharmacist 487418 2339 |
10. | 10 gmaxwell 11425 2224 |
|-------------------------------------------------------|
11. | 11 satoshi 3 2170 |
12. | 12 achow101 290195 2082 |
13. | 13 mikeywith 2033515 1935 |
14. | 14 1miau 2143453 1890 |
15. | 15 hilariousetc 397737 1840 |
|-------------------------------------------------------|
16. | 16 xhomerx10 120694 1766 |
17. | 17 nutildah 317618 1722 |
18. | 18 HCP 867786 1721 |
19. | 19 LFC_Bitcoin 379487 1656 |
20. | 20 abhiseshakana 1878246 1609 |
|-------------------------------------------------------|
21. | 21 iasenko 1291828 1599 |
22. | 22 VB1001 1138727 1563 |
23. | 23 Hhampuz 881377 1558 |
24. | 24 HairyMaclairy 181806 1553 |
25. | 25 Steamtyme 1112531 1550 |
|-------------------------------------------------------|
26. | 26 xtraelv 897509 1511 |
27. | 27 krogothmanhattan 1000199 1436 |
28. | 28 qwk 24140 1434 |
29. | 29 JayJuanGee 252510 1423 |
30. | 30 Vod 30747 1416 |
|-------------------------------------------------------|
31. | 31 bob123 579628 1403 |
32. | 32 Lauda 101872 1390 |
33. | 33 Jet Cash 698159 1359 |
34. | 34 marlboroza 787736 1343 |
35. | 35 DireWolfM14 2003859 1343 |
|-------------------------------------------------------|
36. | 36 Veleor 1177936 1343 |
37. | 37 pooya87 379147 1328 |
38. | 38 TryNinja 557798 1318 |
39. | 39 gentlemand 155345 1299 |
40. | 40 roycilik 1051955 1289 |
|-------------------------------------------------------|
41. | 41 TMAN 98986 1288 |
42. | 42 joniboni 1275282 1271 |
43. | 43 bitmover 1554927 1267 |
44. | 44 tranthidung 1292764 1234 |
45. | 45 BitCryptex 1169179 1231 |
|-------------------------------------------------------|
46. | 46 DarkStar_ 507936 1229 |
47. | 47 yahoo62278 355846 1225 |
48. | 48 nullius 976210 1221 |
49. | 49 mu_enrico 1574226 1214 |
50. | 50 ETFbitcoin 359716 1199 |
|-------------------------------------------------------|
51. | 51 Carlton Banks 64205 1198 |
52. | 52 BobLawblaw 569455 1195 |
53. | 53 Husna QA 1827294 1195 |
54. | 54 taikuri13 1855828 1176 |
55. | 55 yogg 140827 1171 |
|-------------------------------------------------------|
56. | 56 coinlocket$ 1339716 1171 |
57. | 57 morvillz7z 1825672 1167 |
58. | 58 Piggy 188198 1157 |
59. | 59 jojo69 49008 1156 |
60. | 60 witcher_sense 1433865 1141 |
|-------------------------------------------------------|
61. | 61 philipma1957 64507 1140 |
62. | 62 Coolcryptovator 1980983 1137 |
63. | 63 Coding Enthusiast 879277 1121 |
64. | 64 lovesmayfamilis 1982152 1105 |
65. | 65 minerjones 346731 1051 |
|-------------------------------------------------------|
66. | 66 CryptopreneurBrainboss 1052091 1040 |
67. | 67 hugeblack 1059082 1038 |
68. | 68 mocacino 405464 1032 |
69. | 69 Xal0lex 1068464 1030 |
70. | 70 tvplus006 1311641 1014 |
|-------------------------------------------------------|
71. | 71 theyoungmillionaire 1180530 1011 |
72. | 72 mole0815 1424178 1003 |
73. | 73 SaltySpitoon 38894 1003 |
74. | 74 Toxic2040 239406 985 |
75. | 75 Goran_ 1039323 979 |
|-------------------------------------------------------|
76. | 76 pandukelana2712 1304130 968 |
77. | 77 aundroid 1015954 955 |
78. | 78 asche 1580039 954 |
79. | 79 nc50lc 1237156 945 |
80. | 80 PHI16168 1071136 944 |
|-------------------------------------------------------|
81. | 81 Alex_Sr 1762404 933 |
82. | 82 Corrosive 2005913 927 |
83. | 83 eddie13 580327 925 |
84. | 84 infofront 41175 924 |
85. | 85 wwzsocki 131333 905 |
|-------------------------------------------------------|
86. | 86 madnessteat 1894120 903 |
87. | 87 mjglqw 886521 901 |
88. | 88 Welsh 84521 894 |
89. | 89 stompix 164749 892 |
90. | 90 actmyame 465017 881 |
|-------------------------------------------------------|
91. | 91 ICOEthics 2204241 880 |
92. | 92 igor72 1094195 879 |
93. | 93 Ratimov 2627711 869 |
94. | 94 Lafu 805820 860 |
95. | 95 Blacknavy 1018510 859 |
|-------------------------------------------------------|
96. | 96 Quickseller 358020 858 |
97. | 97 Foxpup 55384 856 |
98. | 98 TheNewAnon135246 153656 850 |
99. | 99 masulum 1283017 850 |
100. | 100 TheFuzzStone 679341 849 |
+-------------------------------------------------------+
List of top 100 merit earners, sorted descendingly by median of weekly earned merits: +--------------------------------------------------------------------------------------------+
| rank_median username userid median mean p25 p75 min max |
|--------------------------------------------------------------------------------------------|
1. | 1 LoyceV 459836 41.5 44.06 22.5 58.5 2 115 |
2. | 2 o_e_l_e_o 1188543 30.5 32.19 15.5 44 0 101 |
3. | 3 suchmoon 234771 30.5 34.29 17 46.5 0 148 |
4. | 4 theymos 35 28 60.38 11.5 66 2 1328 |
5. | 5 micgoossens 1067333 28 30.09 17 40.5 0 100 |
|--------------------------------------------------------------------------------------------|
6. | 6 DdmrDdmr 1582324 25 30.67 15 41 0 106 |
7. | 7 Last of the V8s 479624 21 22.31 9 31.5 0 64 |
8. | 8 The Pharmacist 487418 16.5 21.66 10 30.5 0 93 |
9. | 9 achow101 290195 15 19.28 8 26.5 0 77 |
10. | 10 mikeywith 2033515 15 17.92 0 29 0 92 |
|--------------------------------------------------------------------------------------------|
11. | 11 HairyMaclairy 181806 13 14.38 7 19 0 56 |
12. | 12 HCP 867786 12.5 15.94 5 21.5 0 69 |
13. | 13 nutildah 317618 12.5 15.94 1 24.5 0 81 |
14. | 14 LFC_Bitcoin 379487 12.5 15.33 6 22.5 0 61 |
15. | 15 hilariousetc 397737 12.5 17.04 5 23 0 90 |
|--------------------------------------------------------------------------------------------|
16. | 16 JayJuanGee 252510 12 13.18 5.5 18 0 43 |
17. | 17 abhiseshakana 1878246 11.5 14.9 2.5 22.5 0 73 |
18. | 18 xhomerx10 120694 11.5 16.35 5.5 20 0 121 |
19. | 19 gmaxwell 11425 10.5 20.59 3 24 0 162 |
20. | 20 iasenko 1291828 10.5 14.81 5 24 0 52 |
|--------------------------------------------------------------------------------------------|
21. | 21 VB1001 1138727 10 14.47 0 23 0 98 |
22. | 22 Steamtyme 1112531 10 14.35 3.5 19 0 115 |
23. | 23 pooya87 379147 10 12.3 4 19 0 42 |
24. | 24 TryNinja 557798 10 12.2 5 16 0 40 |
25. | 25 gentlemand 155345 9.5 12.03 5 18 1 74 |
|--------------------------------------------------------------------------------------------|
26. | 26 Carlton Banks 64205 9 11.09 4 15 0 76 |
27. | 27 fillippone 1852120 9 22.44 0 33.5 0 141 |
28. | 28 Jet Cash 698159 9 12.58 3 18 0 65 |
29. | 29 qwk 24140 9 13.28 3 18 0 88 |
30. | 30 marlboroza 787736 9 12.44 3 14.5 0 79 |
|--------------------------------------------------------------------------------------------|
31. | 31 bitmover 1554927 9 11.73 5 17 0 48 |
32. | 32 BobLawblaw 569455 9 11.06 5 15 0 55 |
33. | 33 taikuri13 1855828 9 10.89 5 17 0 36 |
34. | 34 ETFbitcoin 359716 9 11.1 3 15 0 50 |
35. | 35 1miau 2143453 9 17.5 2 26 0 100 |
|--------------------------------------------------------------------------------------------|
36. | 36 xtraelv 897509 8.5 13.99 2 20 0 104 |
37. | 37 roycilik 1051955 8.5 11.94 3 18.5 0 48 |
38. | 38 mu_enrico 1574226 8.5 11.24 2 16 0 78 |
39. | 39 krogothmanhattan 1000199 8.5 13.3 3 18 0 77 |
40. | 40 Husna QA 1827294 8.5 11.06 3 15 0 62 |
|--------------------------------------------------------------------------------------------|
41. | 41 joniboni 1275282 8 11.77 5 17 0 54 |
42. | 42 Veleor 1177936 8 12.44 0 18.5 0 90 |
43. | 43 Goran_ 1039323 8 9.06 3 13 0 36 |
44. | 44 morvillz7z 1825672 8 10.81 1 17 0 58 |
45. | 45 jojo69 49008 8 10.7 4 12 0 102 |
|--------------------------------------------------------------------------------------------|
46. | 46 philipma1957 64507 8 10.56 5 16 0 38 |
47. | 47 Vod 30747 7.5 13.11 3 13.5 0 158 |
48. | 48 Coolcryptovator 1980983 7.5 10.53 2 14.5 0 64 |
49. | 49 bob123 579628 7.5 12.99 2.5 19 0 68 |
50. | 50 coinlocket$ 1339716 7 10.84 2 13.5 0 98 |
|--------------------------------------------------------------------------------------------|
51. | 51 minerjones 346731 7 9.73 1 14 0 67 |
52. | 52 BitCryptex 1169179 7 11.4 3 15.5 0 126 |
53. | 53 mjglqw 886521 7 8.34 3 12 0 48 |
54. | 54 DarkStar_ 507936 7 11.38 2 15 0 78 |
55. | 55 infofront 41175 7 8.56 2 12 0 74 |
|--------------------------------------------------------------------------------------------|
56. | 56 Hhampuz 881377 6.5 14.43 3 17.5 0 92 |
57. | 57 tvplus006 1311641 6.5 9.39 0 16.5 0 42 |
58. | 58 mocacino 405464 6.5 9.56 3.5 13 0 48 |
59. | 59 witcher_sense 1433865 6 10.56 0 17 0 76 |
60. | 60 asche 1580039 6 8.83 1 12 0 50 |
|--------------------------------------------------------------------------------------------|
61. | 61 Lafu 805820 6 7.96 2 11 0 41 |
62. | 62 igor72 1094195 6 8.14 0 13 0 29 |
63. | 63 hugeblack 1059082 6 9.61 2 13.5 0 62 |
64. | 64 DireWolfM14 2003859 6 12.44 0 17.5 0 84 |
65. | 65 Xal0lex 1068464 6 9.54 2 12 0 116 |
|--------------------------------------------------------------------------------------------|
66. | 66 yogg 140827 6 10.84 1 13 0 91 |
67. | 67 Piggy 188198 5 10.71 1 16 0 85 |
68. | 68 nc50lc 1237156 5 8.75 1 11 0 68 |
69. | 69 Toxic2040 239406 5 9.12 0 13.5 0 94 |
70. | 70 TheFuzzStone 679341 5 7.86 2 12 0 53 |
|--------------------------------------------------------------------------------------------|
71. | 71 yahoo62278 355846 5 11.34 1 12.5 0 130 |
72. | 72 actmyame 465017 5 8.16 1 12 0 66 |
73. | 73 Lauda 101872 5 12.87 1 13.5 0 238 |
74. | 74 Alex_Sr 1762404 5 8.64 1 12 0 103 |
75. | 75 satoshi 3 5 20.09 1.5 21.5 0 482 |
|--------------------------------------------------------------------------------------------|
76. | 76 stompix 164749 5 8.26 3 10 0 62 |
77. | 77 Coding Enthusiast 879277 5 10.38 0 11 0 116 |
78. | 78 tranthidung 1292764 4.5 11.43 1 15 0 98 |
79. | 79 mole0815 1424178 4.5 9.29 1.5 11.5 0 73 |
80. | 80 Quickseller 358020 4 7.94 1 12 0 58 |
|--------------------------------------------------------------------------------------------|
81. | 81 CryptopreneurBrainboss 1052091 4 9.63 0 15 0 81 |
82. | 82 SaltySpitoon 38894 4 9.29 0 12 0 94 |
83. | 83 Foxpup 55384 4 7.93 .5 9.5 0 88 |
84. | 84 pandukelana2712 1304130 4 8.96 .5 10.5 0 94 |
85. | 85 lovesmayfamilis 1982152 3.5 10.23 0 17 0 45 |
|--------------------------------------------------------------------------------------------|
86. | 86 wwzsocki 131333 3 8.38 0 11 0 70 |
87. | 87 madnessteat 1894120 3 8.36 0 13.5 0 54 |
88. | 88 PHI16168 1071136 3 8.74 0 9.5 0 85 |
89. | 89 aundroid 1015954 3 8.84 0 8 0 64 |
90. | 90 Welsh 84521 3 8.28 1 9 0 103 |
|--------------------------------------------------------------------------------------------|
91. | 91 ICOEthics 2204241 2 8.15 0 14 0 69 |
92. | 92 TMAN 98986 2 11.93 0 11 0 275 |
93. | 93 TheNewAnon135246 153656 2 7.87 0 6 0 133 |
94. | 94 Blacknavy 1018510 2 7.95 0 7 0 121 |
95. | 95 eddie13 580327 1.5 8.56 0 11.5 0 122 |
|--------------------------------------------------------------------------------------------|
96. | 96 theyoungmillionaire 1180530 1 9.36 0 12 0 104 |
97. | 97 nullius 976210 0 11.31 0 3 0 180 |
98. | 98 masulum 1283017 0 7.87 0 13 0 59 |
99. | 99 Ratimov 2627711 0 8.05 0 1.5 0 72 |
100. | 100 Corrosive 2005913 0 8.58 0 5 0 172 |
+--------------------------------------------------------------------------------------------+
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