The logic is simple, if Messi Doesn't assist or score a goal, Barca are fucked  Messi-dependencia is a chronic disease of Barca and it has lasted for many years. With the another coming 2-year contracts for Messi, Barca will keep depending on him. The interesting point in the match is the moment when Messi shown his angry after he get fooled with a very dangerous tackling. Personally, such defensive tackling in worst case can result in serious injury and can put an endpoint for Messi's career. That is understandable why he did so angry yesterday. |
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ABSTRACT 2020w24, GMT timeData is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w25 and an incomplete day (dayid = 878). Details on days dropped, please see above posts.
Intra-day merits:- Total observed days: 875
- Potential outliers are days that have intraday total merits beyond 179 or 1203
- Median of intraday merits over the period is 673
- 50% of observed days have their intra-day merits range from 563 to 819 (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 57 potential outliers (beyond 179 or 1203) in total.
- The distribution of outliers over years are: 42 (73.7%) for 2018, 14 (24.7%) 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: 125
- The median of intra-week merits is 4672
- 50% of observed weeks (125 weeks in total), have total merits in the range 4248 to 5603 (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 2216 or 7636], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397); none of them occured in 2020.
- The last week has its position at 97th among 125 weeks so far.
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Intra-week merits (from 24/1/2018 to 16/6/2020)Last 3 days dropped due to incomplete week (2020w25) and an incomplete day (dayid = 878)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 |
119. | 5699 2020w18 |
120. | 5648 2020w19 |
|-----------------|
121. | 5802 2020w20 |
122. | 5334 2020w21 |
123. | 4662 2020w22 |
124. | 4676 2020w23 |
125. | 4190 2020w24 |
+-----------------+
- 50% of observed weeks ( 125 weeks) have total intra-week merits above 4672, whilst the rest 50% of them have total intra-week merits below 4672. 4672 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4248 to 5603 (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 | 125.0 5521.5 3250.2 4672.0 4248.0 5603.0 3186.0 27920.0
----------------------------------------------------------------------------------------------
. di 5603-4248
1355
. di 1355*1.5
2032.5
. di 5603+2032.5
7635.5
. di 4248-2032.5
2215.5
It means that potential outliers are weeks that have intra-week merits beyond 2216 or 7636. How many weeks are potential outliers? . count if (merit >= 7636 | merit < 2216) & 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). None of them occured in 2020 so far.  List of weeks in descending weekly meritsThe last week (with 4190 merits) stays at the 97th position, among 125 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 5802 2020w20 |
27. | 27 5776 2019w3 |
28. | 28 5745 2020w1 |
29. | 29 5728 2019w13 |
30. | 30 5699 2020w18 |
|------------------------------|
31. | 31 5648 2020w19 |
32. | 32 5603 2020w12 |
33. | 33 5596 2019w20 |
34. | 34 5573 2020w6 |
35. | 35 5395 2020w2 |
|------------------------------|
36. | 36 5392 2020w13 |
37. | 37 5375 2019w43 |
38. | 38 5373 2019w24 |
39. | 39 5334 2020w21 |
40. | 40 5253 2019w15 |
|------------------------------|
41. | 41 5237 2020w9 |
42. | 42 5160 2019w42 |
43. | 43 5109 2020w11 |
44. | 44 5094 2020w15 |
45. | 45 5052 2020w16 |
|------------------------------|
46. | 46 5043 2018w18 |
47. | 47 5002 2019w19 |
48. | 48 4979 2019w10 |
49. | 49 4880 2019w16 |
50. | 50 4832 2019w50 |
|------------------------------|
51. | 51 4820 2018w17 |
52. | 52 4817 2019w18 |
53. | 53 4816 2019w44 |
54. | 54 4753 2019w45 |
55. | 55 4726 2019w9 |
|------------------------------|
56. | 56 4701 2019w41 |
57. | 57 4695 2019w14 |
58. | 58 4693 2019w21 |
59. | 59 4690 2019w12 |
60. | 60 4685 2018w19 |
|------------------------------|
61. | 61 4684 2018w26 |
62. | 62 4676 2020w23 |
63. | 63 4672 2019w26 |
64. | 64 4662 2020w22 |
65. | 65 4650 2019w49 |
|------------------------------|
66. | 66 4629 2019w25 |
67. | 67 4622 2020w10 |
68. | 68 4606 2018w47 |
69. | 69 4597 2019w23 |
70. | 70 4584 2019w1 |
|------------------------------|
71. | 71 4582 2019w4 |
72. | 72 4574 2018w25 |
73. | 73 4539 2020w17 |
74. | 74 4508 2018w39 |
75. | 75 4505 2019w6 |
|------------------------------|
76. | 76 4473 2018w23 |
77. | 77 4462 2019w28 |
78. | 78 4449 2018w16 |
79. | 79 4431 2018w20 |
80. | 80 4424 2018w42 |
|------------------------------|
81. | 81 4408 2019w5 |
82. | 82 4386 2018w43 |
83. | 83 4382 2019w38 |
84. | 84 4377 2019w30 |
85. | 85 4367 2018w27 |
|------------------------------|
86. | 86 4348 2019w39 |
87. | 87 4342 2019w22 |
88. | 88 4325 2018w40 |
89. | 89 4314 2019w8 |
90. | 90 4295 2019w11 |
|------------------------------|
91. | 91 4277 2018w29 |
92. | 92 4260 2019w17 |
93. | 93 4259 2019w7 |
94. | 94 4248 2018w22 |
95. | 95 4209 2019w40 |
|------------------------------|
96. | 96 4199 2018w32 |
97. | 97 4190 2020w24 |
98. | 98 4175 2018w45 |
99. | 99 4109 2018w28 |
100. | 100 4047 2018w46 |
|------------------------------|
101. | 101 4005 2019w37 |
102. | 102 4005 2019w29 |
103. | 103 3981 2018w41 |
104. | 104 3965 2019w33 |
105. | 105 3953 2018w24 |
|------------------------------|
106. | 106 3903 2018w21 |
107. | 107 3882 2019w27 |
108. | 108 3811 2019w34 |
109. | 109 3809 2018w30 |
110. | 110 3791 2018w48 |
|------------------------------|
111. | 111 3767 2018w33 |
112. | 112 3763 2018w34 |
113. | 113 3689 2018w50 |
114. | 114 3687 2018w52 |
115. | 115 3683 2019w36 |
|------------------------------|
116. | 116 3615 2018w51 |
117. | 117 3603 2019w31 |
118. | 118 3596 2018w49 |
119. | 119 3586 2018w37 |
120. | 120 3579 2019w35 |
|------------------------------|
121. | 121 3536 2018w36 |
122. | 122 3489 2018w31 |
123. | 123 3346 2019w32 |
124. | 124 3321 2018w44 |
125. | 125 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 710, 705, and 704, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 614, 627, and 662, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 905, 848, and 807, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 697, 706, and 780, respectively. Basic statistics:Summary for variables: merit
by categories of: dofw
dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
Sunday | 125.0 696.2 349.6 627.0 505.0 741.0 300.0 3240.0
Monday | 125.0 779.6 426.8 662.0 577.0 859.0 370.0 3343.0
Tuesday | 125.0 806.4 465.8 705.0 595.0 863.0 339.0 3826.0
Wednesday | 125.0 781.2 424.5 696.0 607.0 832.0 347.0 4103.0
Thursday | 125.0 904.7 1176.7 710.0 594.0 845.0 411.0 12676.0
Friday | 125.0 847.7 733.3 704.0 572.0 831.0 373.0 6348.0
Saturday | 125.0 705.6 454.3 614.0 509.0 741.0 375.0 4627.0
----------+--------------------------------------------------------------------------------
Total | 875.0 788.8 637.4 673.0 563.0 819.0 300.0 12676.0
-------------------------------------------------------------------------------------------
Outliers 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 710 904.736 594 845 411 12676 |
2. | 2 Tuesday 705 806.448 595 863 339 3826 |
3. | 3 Friday 704 847.664 572 831 373 6348 |
4. | 4 Wednesday 696 781.224 607 832 347 4103 |
5. | 5 Monday 662 779.56 577 859 370 3343 |
|---------------------------------------------------------------------|
6. | 6 Sunday 627 696.224 505 741 300 3240 |
7. | 7 Saturday 614 705.616 509 741 375 4627 |
+---------------------------------------------------------------------+
In means +-------------------------------------------------------------------+
| rankmean dofw mean median p25 p75 min max |
|-------------------------------------------------------------------|
1. | 1 Thursday 904.736 710 594 845 411 12676 |
2. | 2 Friday 847.664 704 572 831 373 6348 |
3. | 3 Tuesday 806.448 705 595 863 339 3826 |
4. | 4 Wednesday 781.224 696 607 832 347 4103 |
5. | 5 Monday 779.56 662 577 859 370 3343 |
|-------------------------------------------------------------------|
6. | 6 Saturday 705.616 614 509 741 375 4627 |
7. | 7 Sunday 696.224 627 505 741 300 3240 |
+-------------------------------------------------------------------+
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During the period from 24/1/2018 to 16/6/2020 (last 3 days dropped due to incomplete week, 2020w25 and an incomplete day - dayid = 878), 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 27 19feb2018 Monday 2018w8 2018m2 2018 |
49. | 49 1289 21 13feb2018 Tuesday 2018w7 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. | 13 378 305 24nov2018 Saturday 2018w47 2018m11 2018 |
14. | 14 378 566 12aug2019 Monday 2019w32 2019m8 2019 |
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. | 18 385 215 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. | 22 395 872 13jun2020 Saturday 2020w24 2020m6 2020 |
23. | 23 399 593 08sep2019 Sunday 2019w36 2019m9 2019 |
24. | 24 401 557 03aug2019 Saturday 2019w31 2019m8 2019 |
25. | 25 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 |
|-----------------------------------------------------------------------------|
26. | 26 402 263 13oct2018 Saturday 2018w41 2018m10 2018 |
27. | 27 404 229 09sep2018 Sunday 2018w36 2018m9 2018 |
28. | 28 406 277 27oct2018 Saturday 2018w43 2018m10 2018 |
29. | 29 408 530 07jul2019 Sunday 2019w27 2019m7 2019 |
30. | 30 409 123 26may2018 Saturday 2018w21 2018m5 2018 |
|-----------------------------------------------------------------------------|
31. | 31 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 |
32. | 32 410 279 29oct2018 Monday 2018w44 2018m10 2018 |
33. | 33 411 578 24aug2019 Saturday 2019w34 2019m8 2019 |
34. | 34 411 569 15aug2019 Thursday 2019w33 2019m8 2019 |
35. | 35 414 528 05jul2019 Friday 2019w27 2019m7 2019 |
|-----------------------------------------------------------------------------|
36. | 36 421 193 04aug2018 Saturday 2018w31 2018m8 2018 |
37. | 37 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 |
38. | 38 426 230 10sep2018 Monday 2018w37 2018m9 2018 |
39. | 39 426 346 04jan2019 Friday 2019w1 2019m1 2019 |
40. | 40 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 |
|-----------------------------------------------------------------------------|
41. | 41 430 207 18aug2018 Saturday 2018w33 2018m8 2018 |
42. | 42 432 587 02sep2019 Monday 2019w35 2019m9 2019 |
43. | 43 435 522 29jun2019 Saturday 2019w26 2019m6 2019 |
44. | 44 436 419 18mar2019 Monday 2019w11 2019m3 2019 |
45. | 45 440 559 05aug2019 Monday 2019w31 2019m8 2019 |
|-----------------------------------------------------------------------------|
46. | 46 440 265 15oct2018 Monday 2018w42 2018m10 2018 |
47. | 47 440 585 31aug2019 Saturday 2019w35 2019m8 2019 |
48. | 48 441 404 03mar2019 Sunday 2019w9 2019m3 2019 |
49. | 49 441 319 08dec2018 Saturday 2018w49 2018m12 2018 |
50. | 50 442 278 28oct2018 Sunday 2018w43 2018m10 2018 |
+-----------------------------------------------------------------------------+
|
|
|
|
Time-series plots:Full dataset:Truncated dataset:
Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w25 (daydi = 876, 877), the incomplete week & incomlete day (dayid = 878). variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 875 788.7817 637.3838 673 563 819 300 12676
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 179 or 1203. . di 819-563
256
. di 256*1.5
384
. di 819+384
1203
. di 563-384
179
There are 57 outliers (beyond 1203 or 179) in full dataset, in total. . count if (merit >= 1203 | merit <= 179) & merit != .
57
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 |
|---------------------------|
755. | 755 1364 17feb2020 |
+---------------------------+
- 2018: 42 (73.7%)
- 2019: 14 (24.6%)
- 2020: 1 (1.8%)
|
|
|
|
Update 2020w24, 19jun2020 02:51:21 (GMT time)* last 3 days belong to 2020w25.For all users:- Number of users who only earned at least 1 merit: 19686
- Number of users who only sent at least 1 merit: 7381
- Number of users who earned AND sent at least 1 merit: 14850
- Number of users who earned OR sent at least 1 merit: 41917
- Total Autobanned users: 141832
- Total Nuked users: 65530
- Total earned merits (for all): 610378
- Total sent merits (for all): 650603
For legit users only:- Total legit users: 12312
- Total earned merits: 574929
- Total sent merits: 622432
A summary table (for legit users only) | | | | | Earned merits | | | | | | Sent merits | | | | Groups | | | Freq. | Percent | Total earned | Percent | | | Freq. | Percent | Total sent | Percent | | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ | | 1-10 | | | 7566 | 61.5 | 35272 | 6.1 | | | 8721 | 70.8 | 30630 | 4.9 | | 11-100 | | | 3764 | 30.6 | 112507 | 19.6 | | | 2801 | 22.8 | 95152 | 15.3 | | 101-250 | | | 512 | 4.2 | 78569 | 13.7 | | | 465 | 3.8 | 72334 | 11.6 | | 251-500 | | | 218 | 1.8 | 73552 | 12.8 | | | 174 | 1.4 | 60754 | 9.8 | | 501-1000 | | | 155 | 1.8 | 109795 | 19.1 | | | 73 | 0.6 | 49796 | 8.0 | | 1001+ | | | 97 | 0.8 | 165234 | 28.7 | | | 78 | 0.6 | 313766 | 50.4 | | Total | | | 12312 | 100 | 574929 | 100 | | | 12312 | 100 | 622432 | 100 | | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ |
- 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 | 7381 | 17.6 | | Earned only | 19686 | 47.0 | | Both | 14850 | 35.4 | | Total | 41917 | 100 | | _________________________ | ______________ | ______________ | | Account status (for legit only) | | | | _________________________ | ______________ | ______________ | | Legit | 12312 | 82.9 | | Autobanned | 2521 | 17.0 | | Nuked | 17 | 0.1 | | Total | 14850 | 100 | | _________________________ | ______________ | ______________ |
|
|
|
|
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 596 2998 1421 |
2. | 2 o_e_l_e_o 1188543 407 2412 1517 |
3. | 3 suchmoon 234771 400 2385 1491 |
4. | 4 El duderino_ 1067333 310 2364 1502 |
5. | 5 DdmrDdmr 1582324 382 2049 1109 |
|------------------------------------------------------------------------------------|
6. | 6 Last of the V8s 479624 251 2230 1473 |
7. | 7 theymos 35 948 2619 513 |
8. | 8 fillippone 1852120 301 1990 993 |
9. | 9 mikeywith 2033515 252 1481 845 |
10. | 10 nutildah 317618 304 1309 821 |
|------------------------------------------------------------------------------------|
11. | 11 The Pharmacist 487418 320 1347 948 |
12. | 12 LFC_Bitcoin 379487 232 1698 1152 |
13. | 13 VB1001 1138727 192 1582 963 |
14. | 14 achow101 290195 172 1196 489 |
15. | 15 JayJuanGee 252510 221 1415 1131 |
|------------------------------------------------------------------------------------|
16. | 16 gmaxwell 11425 173 936 351 |
17. | 17 HairyMaclairy 181806 156 1330 930 |
18. | 18 HCP 867786 227 1176 737 |
19. | 19 iasenko 1291828 297 1034 463 |
20. | 20 pooya87 379147 243 1187 774 |
|------------------------------------------------------------------------------------|
21. | 21 xhomerx10 120694 215 1157 659 |
22. | 22 TryNinja 557798 293 1080 739 |
23. | 23 1miau 2143453 271 1423 651 |
24. | 24 gentlemand 155345 281 1088 830 |
25. | 25 hilariousetc 397737 211 901 551 |
|------------------------------------------------------------------------------------|
26. | 26 abhiseshakana 1878246 126 992 520 |
27. | 27 philipma1957 64507 207 760 600 |
28. | 28 BobLawblaw 569455 141 1052 653 |
29. | 29 ETFbitcoin 359716 218 822 572 |
30. | 30 bitmover 1554927 270 925 521 |
|------------------------------------------------------------------------------------|
31. | 31 marlboroza 787736 219 718 446 |
32. | 32 hugeblack 1059082 241 885 516 |
33. | 33 qwk 24140 215 870 526 |
34. | 34 Steamtyme 1112531 196 747 417 |
35. | 35 jojo69 49008 153 1044 701 |
|------------------------------------------------------------------------------------|
36. | 36 Goran_ 1039323 122 791 618 |
37. | 37 taikuri13 1855828 119 772 533 |
38. | 38 mu_enrico 1574226 132 737 360 |
39. | 39 krogothmanhattan 1000199 224 673 283 |
40. | 40 DireWolfM14 2003859 214 863 480 |
|------------------------------------------------------------------------------------|
41. | 41 Vod 30747 305 770 427 |
42. | 42 Husna QA 1827294 135 746 350 |
43. | 43 morvillz7z 1825672 153 670 329 |
44. | 44 roycilik 1051955 155 832 337 |
45. | 45 Veleor 1177936 165 747 420 |
|------------------------------------------------------------------------------------|
46. | 46 mindrust 176777 201 737 502 |
47. | 47 mk4 886521 274 809 530 |
48. | 48 Carlton Banks 64205 154 691 423 |
49. | 49 joniboni 1275282 199 782 469 |
50. | 50 mocacino 405464 193 794 421 |
|------------------------------------------------------------------------------------|
51. | 51 Coolcryptovator 1980983 277 807 377 |
52. | 52 DarkStar_ 507936 290 762 415 |
53. | 53 yogg 140827 138 608 288 |
54. | 54 nc50lc 1237156 179 772 415 |
55. | 55 Jet Cash 698159 271 824 559 |
|------------------------------------------------------------------------------------|
56. | 56 minerjones 346731 115 448 298 |
57. | 57 tvplus006 1311641 236 822 285 |
58. | 58 Hhampuz 881377 333 951 418 |
59. | 59 bob123 579628 181 951 587 |
60. | 60 infofront 41175 145 742 444 |
|------------------------------------------------------------------------------------|
61. | 61 Plutosky 1237522 55 680 371 |
62. | 62 BitCryptex 1169179 154 705 356 |
63. | 63 witcher_sense 1433865 146 884 372 |
64. | 64 stompix 164749 222 644 480 |
65. | 65 Lafu 805820 164 685 407 |
|------------------------------------------------------------------------------------|
66. | 66 OmegaStarScream 375981 219 676 411 |
67. | 67 coinlocket$ 1339716 194 616 340 |
68. | 68 asche 1580039 139 715 438 |
69. | 69 tranthidung 1292764 249 860 357 |
70. | 70 CryptopreneurBrainboss 1052091 249 723 336 |
|------------------------------------------------------------------------------------|
71. | 71 xtraelv 897509 222 734 336 |
72. | 72 Toxic2040 239406 125 924 644 |
73. | 73 LeGaulois 507856 217 571 354 |
74. | 74 Coding Enthusiast 879277 106 562 182 |
75. | 75 Xal0lex 1068464 124 575 323 |
|------------------------------------------------------------------------------------|
76. | 76 mole0815 1424178 131 869 617 |
77. | 77 yahoo62278 355846 382 792 321 |
78. | 78 Lauda 101872 243 774 516 |
79. | 79 Welsh 84521 186 527 273 |
80. | 80 aundroid 1015954 112 690 405 |
|------------------------------------------------------------------------------------|
81. | 81 Foxpup 55384 148 425 225 |
82. | 82 Lakai01 1724800 96 711 375 |
83. | 83 satoshi 3 263 366 65 |
84. | 84 SaltySpitoon 38894 108 383 224 |
85. | 85 lovesmayfamilis 1982152 111 854 365 |
|------------------------------------------------------------------------------------|
86. | 86 Blacknavy 1018510 157 549 280 |
87. | 87 PHI16168 1071136 116 412 176 |
88. | 88 wwzsocki 131333 162 620 334 |
89. | 89 madnessteat 1894120 122 599 292 |
90. | 90 Piggy 188198 191 448 147 |
|------------------------------------------------------------------------------------|
91. | 91 TMAN 98986 214 604 365 |
92. | 92 Kalemder 487377 145 609 263 |
93. | 93 tyKiwanuka 1025255 118 522 308 |
94. | 94 Corrosive 2005913 96 273 79 |
95. | 95 nullius 976210 221 716 301 |
|------------------------------------------------------------------------------------|
96. | 96 theyoungmillionaire 1180530 151 369 117 |
97. | 97 zasad@ 2654005 125 541 251 |
98. | 98 masulum 1283017 135 607 227 |
99. | 99 Rikafip 2658890 182 713 287 |
100. | 100 Ratimov 2627711 135 807 443 |
+------------------------------------------------------------------------------------+
|
|
|
|
Update 2020w24ABSTRACT- Period: 2018w4 - 2020w25 19jun2020 02:51:21 (GMT time).
- Observed weeks: 124
- Incomple weeks: 2018w4, 2020w25.
- The last merit transaction is at 19jun2020 02:51:21 (GMT time)
List of top 100 merit earners, sorted descendingly by sum of earned merits: +-------------------------------------------------------+
| rank_total username userid total |
|-------------------------------------------------------|
1. | 1 theymos 35 6848 |
2. | 2 LoyceV 459836 5484 |
3. | 3 o_e_l_e_o 1188543 4314 |
4. | 4 suchmoon 234771 4214 |
5. | 5 DdmrDdmr 1582324 3859 |
|-------------------------------------------------------|
6. | 6 El duderino_ 1067333 3664 |
7. | 7 fillippone 1852120 3441 |
8. | 8 Last of the V8s 479624 3339 |
9. | 9 gmaxwell 11425 2972 |
10. | 10 mikeywith 2033515 2580 |
|-------------------------------------------------------|
11. | 11 The Pharmacist 487418 2531 |
12. | 12 nutildah 317618 2344 |
13. | 13 LFC_Bitcoin 379487 2337 |
14. | 14 achow101 290195 2329 |
15. | 15 satoshi 3 2319 |
|-------------------------------------------------------|
16. | 16 1miau 2143453 2278 |
17. | 17 VB1001 1138727 2111 |
18. | 18 HCP 867786 2033 |
19. | 19 xhomerx10 120694 2009 |
20. | 20 iasenko 1291828 1999 |
|-------------------------------------------------------|
21. | 21 hilariousetc 397737 1929 |
22. | 22 Hhampuz 881377 1914 |
23. | 23 JayJuanGee 252510 1866 |
24. | 24 abhiseshakana 1878246 1844 |
25. | 25 TryNinja 557798 1810 |
|-------------------------------------------------------|
26. | 26 pooya87 379147 1772 |
27. | 27 DireWolfM14 2003859 1747 |
28. | 28 HairyMaclairy 181806 1706 |
29. | 29 Lauda 101872 1640 |
30. | 30 gentlemand 155345 1640 |
|-------------------------------------------------------|
31. | 31 nullius 976210 1627 |
32. | 32 Steamtyme 1112531 1625 |
33. | 33 xtraelv 897509 1585 |
34. | 34 qwk 24140 1583 |
35. | 35 Vod 30747 1571 |
|-------------------------------------------------------|
36. | 36 bob123 579628 1551 |
37. | 37 marlboroza 787736 1540 |
38. | 38 tranthidung 1292764 1521 |
39. | 39 krogothmanhattan 1000199 1508 |
40. | 40 yogg 140827 1500 |
|-------------------------------------------------------|
41. | 41 bitmover 1554927 1487 |
42. | 42 roycilik 1051955 1480 |
43. | 43 Ratimov 2627711 1461 |
44. | 44 jojo69 49008 1447 |
45. | 45 Veleor 1177936 1431 |
|-------------------------------------------------------|
46. | 46 Toxic2040 239406 1429 |
47. | 47 witcher_sense 1433865 1418 |
48. | 48 Jet Cash 698159 1415 |
49. | 49 BitCryptex 1169179 1407 |
50. | 50 yahoo62278 355846 1395 |
|-------------------------------------------------------|
51. | 51 BobLawblaw 569455 1393 |
52. | 52 joniboni 1275282 1393 |
53. | 53 ETFbitcoin 359716 1382 |
54. | 54 mocacino 405464 1377 |
55. | 55 philipma1957 64507 1376 |
|-------------------------------------------------------|
56. | 56 hugeblack 1059082 1364 |
57. | 57 Husna QA 1827294 1363 |
58. | 58 DarkStar_ 507936 1356 |
59. | 59 mu_enrico 1574226 1328 |
60. | 60 CryptopreneurBrainboss 1052091 1310 |
|-------------------------------------------------------|
61. | 61 morvillz7z 1825672 1305 |
62. | 62 TMAN 98986 1303 |
63. | 63 Coding Enthusiast 879277 1302 |
64. | 64 nc50lc 1237156 1271 |
65. | 65 Coolcryptovator 1980983 1265 |
|-------------------------------------------------------|
66. | 66 taikuri13 1855828 1263 |
67. | 67 mole0815 1424178 1258 |
68. | 68 coinlocket$ 1339716 1255 |
69. | 69 Carlton Banks 64205 1238 |
70. | 70 tvplus006 1311641 1217 |
|-------------------------------------------------------|
71. | 71 lovesmayfamilis 1982152 1183 |
72. | 72 minerjones 346731 1164 |
73. | 73 Kalemder 487377 1163 |
74. | 74 mk4 886521 1160 |
75. | 75 Piggy 188198 1158 |
|-------------------------------------------------------|
76. | 76 asche 1580039 1146 |
77. | 77 SaltySpitoon 38894 1134 |
78. | 78 Goran_ 1039323 1133 |
79. | 79 Rikafip 2658890 1126 |
80. | 80 Plutosky 1237522 1114 |
|-------------------------------------------------------|
81. | 81 PHI16168 1071136 1095 |
82. | 82 Xal0lex 1068464 1095 |
83. | 83 stompix 164749 1092 |
84. | 84 aundroid 1015954 1090 |
85. | 85 OmegaStarScream 375981 1066 |
|-------------------------------------------------------|
86. | 86 masulum 1283017 1065 |
87. | 87 infofront 41175 1061 |
88. | 88 Welsh 84521 1048 |
89. | 89 zasad@ 2654005 1045 |
90. | 90 LeGaulois 507856 1043 |
|-------------------------------------------------------|
91. | 91 Lakai01 1724800 1039 |
92. | 92 tyKiwanuka 1025255 1029 |
93. | 93 mindrust 176777 1028 |
94. | 94 Corrosive 2005913 1026 |
95. | 95 Lafu 805820 1023 |
|-------------------------------------------------------|
96. | 96 madnessteat 1894120 1023 |
97. | 97 wwzsocki 131333 1018 |
98. | 98 theyoungmillionaire 1180530 1013 |
99. | 99 Foxpup 55384 981 |
100. | 100 Blacknavy 1018510 980 |
+-------------------------------------------------------+
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 40.5 35 23 58 2 115 |
2. | 2 o_e_l_e_o 1188543 32.5 29 17 46 0 101 |
3. | 3 suchmoon 234771 30 30 16 46 0 148 |
4. | 4 El duderino_ 1067333 27.5 23 17 40 0 100 |
5. | 5 DdmrDdmr 1582324 25 26 15 41 0 106 |
|----------------------------------------------------------------------------------------|
6. | 6 Last of the V8s 479624 23 24 13 37 0 118 |
7. | 7 theymos 35 22.5 51 10 61 0 1328 |
8. | 8 fillippone 1852120 19.5 44 0 44 0 141 |
9. | 9 mikeywith 2033515 17.5 31 0 31 0 92 |
10. | 10 nutildah 317618 15.5 26 1 27 0 94 |
|----------------------------------------------------------------------------------------|
11. | 11 The Pharmacist 487418 15 19 9 28 0 93 |
12. | 12 LFC_Bitcoin 379487 15 21 6 27 0 73 |
13. | 13 VB1001 1138727 15 27 0 27 0 98 |
14. | 14 achow101 290195 14.5 16 8 24 0 77 |
15. | 15 JayJuanGee 252510 13 14 6 20 0 54 |
|----------------------------------------------------------------------------------------|
16. | 16 gmaxwell 11425 13 26 4 30 0 178 |
17. | 17 HairyMaclairy 181806 12 12 6 18 0 56 |
18. | 18 HCP 867786 12 17 5 22 0 69 |
19. | 19 iasenko 1291828 12 21 5 26 0 52 |
20. | 20 pooya87 379147 11.5 15 6 21 0 48 |
|----------------------------------------------------------------------------------------|
21. | 21 xhomerx10 120694 11.5 15 5 20 0 121 |
22. | 22 TryNinja 557798 11 12 6 18 0 173 |
23. | 23 1miau 2143453 11 24 2 26 0 100 |
24. | 24 gentlemand 155345 10 13 5 18 0 74 |
25. | 25 hilariousetc 397737 10 18 3 21 0 90 |
|----------------------------------------------------------------------------------------|
26. | 26 abhiseshakana 1878246 10 18 3 21 0 73 |
27. | 27 philipma1957 64507 9.5 11 5 16 0 38 |
28. | 28 BobLawblaw 569455 9 10 5 15 0 55 |
29. | 29 ETFbitcoin 359716 9 10 4 14 0 50 |
30. | 30 bitmover 1554927 9 12 4 16 0 102 |
|----------------------------------------------------------------------------------------|
31. | 31 marlboroza 787736 9 12 3 15 0 79 |
32. | 32 hugeblack 1059082 8.5 13 2 15 0 62 |
33. | 33 qwk 24140 8.5 15 3 18 0 88 |
34. | 34 Steamtyme 1112531 8.5 15 3 18 0 115 |
35. | 35 jojo69 49008 8 10 4 14 0 102 |
|----------------------------------------------------------------------------------------|
36. | 36 Goran_ 1039323 8 10 3 13 0 36 |
37. | 37 taikuri13 1855828 8 12 4 16 0 36 |
38. | 38 mu_enrico 1574226 8 13 2 15 0 78 |
39. | 39 krogothmanhattan 1000199 8 14 2 16 0 77 |
40. | 40 DireWolfM14 2003859 8 19 1 20 0 84 |
|----------------------------------------------------------------------------------------|
41. | 41 Vod 30747 7.5 11 2 13 0 158 |
42. | 42 Husna QA 1827294 7.5 12 3 15 0 62 |
43. | 43 morvillz7z 1825672 7.5 14 1 15 0 58 |
44. | 44 roycilik 1051955 7.5 15 3 18 0 48 |
45. | 45 Veleor 1177936 7.5 17 0 17 0 90 |
|----------------------------------------------------------------------------------------|
46. | 46 mindrust 176777 7 9 2 11 0 55 |
47. | 47 mk4 886521 7 10 3 13 0 52 |
48. | 48 Carlton Banks 64205 7 10 3 13 0 76 |
49. | 49 joniboni 1275282 7 11 4 15 0 54 |
50. | 50 mocacino 405464 7 11 4 15 0 50 |
|----------------------------------------------------------------------------------------|
51. | 51 Coolcryptovator 1980983 7 11 3 14 0 64 |
52. | 52 DarkStar_ 507936 7 12 2 14 0 78 |
53. | 53 yogg 140827 7 12 2 14 0 91 |
54. | 54 nc50lc 1237156 7 12 1 13 0 68 |
55. | 55 Jet Cash 698159 7 13 2 15 0 65 |
|----------------------------------------------------------------------------------------|
56. | 56 minerjones 346731 7 13 1 14 0 67 |
57. | 57 tvplus006 1311641 7 15 1 16 0 42 |
58. | 58 Hhampuz 881377 7 16 3 19 0 92 |
59. | 59 bob123 579628 7 17 2 19 0 68 |
60. | 60 infofront 41175 6.5 10 2 12 0 74 |
|----------------------------------------------------------------------------------------|
61. | 61 Plutosky 1237522 6.5 11 2 13 0 43 |
62. | 62 BitCryptex 1169179 6.5 12 3 15 0 126 |
63. | 63 witcher_sense 1433865 6.5 19 0 19 0 76 |
64. | 64 stompix 164749 6 9 3 12 0 62 |
65. | 65 Lafu 805820 6 9 2 11 0 41 |
|----------------------------------------------------------------------------------------|
66. | 66 OmegaStarScream 375981 6 10 2 12 0 43 |
67. | 67 coinlocket$ 1339716 6 10 2 12 0 98 |
68. | 68 asche 1580039 6 10 2 12 0 50 |
69. | 69 tranthidung 1292764 6 16 1 17 0 98 |
70. | 70 CryptopreneurBrainboss 1052091 6 16 0 16 0 81 |
|----------------------------------------------------------------------------------------|
71. | 71 xtraelv 897509 6 17 1 18 0 104 |
72. | 72 Toxic2040 239406 6 19 0 19 0 105 |
73. | 73 LeGaulois 507856 5.5 8 3 11 0 64 |
74. | 74 Coding Enthusiast 879277 5.5 13 0 13 0 116 |
75. | 75 Xal0lex 1068464 5 9 2 11 0 116 |
|----------------------------------------------------------------------------------------|
76. | 76 mole0815 1424178 5 11 2 13 0 73 |
77. | 77 yahoo62278 355846 5 11 2 13 0 130 |
78. | 78 Lauda 101872 5 14 2 16 0 238 |
79. | 79 Welsh 84521 4 8 1 9 0 103 |
80. | 80 aundroid 1015954 4 8 1 9 0 64 |
|----------------------------------------------------------------------------------------|
81. | 81 Foxpup 55384 4 9 0 9 0 88 |
82. | 82 Lakai01 1724800 4 10 0 10 0 63 |
83. | 83 satoshi 3 4 19 1 20 0 482 |
84. | 84 SaltySpitoon 38894 3.5 12 0 12 0 94 |
85. | 85 lovesmayfamilis 1982152 3.5 16 0 16 0 45 |
|----------------------------------------------------------------------------------------|
86. | 86 Blacknavy 1018510 3 8 0 8 0 121 |
87. | 87 PHI16168 1071136 3 9 0 9 0 85 |
88. | 88 wwzsocki 131333 3 10 1 11 0 70 |
89. | 89 madnessteat 1894120 3 13 0 13 0 54 |
90. | 90 Piggy 188198 3 14 0 14 0 85 |
|----------------------------------------------------------------------------------------|
91. | 91 TMAN 98986 2 10 0 10 0 275 |
92. | 92 Kalemder 487377 1 7 0 7 0 161 |
93. | 93 tyKiwanuka 1025255 1 10 0 10 0 107 |
94. | 94 Corrosive 2005913 0 5 0 5 0 172 |
95. | 95 nullius 976210 0 6 0 6 0 180 |
|----------------------------------------------------------------------------------------|
96. | 96 theyoungmillionaire 1180530 0 10 0 10 0 104 |
97. | 97 zasad@ 2654005 0 12 0 12 0 72 |
98. | 98 masulum 1283017 0 13 0 13 0 61 |
99. | 99 Rikafip 2658890 0 14 0 14 0 100 |
100. | 100 Ratimov 2627711 0 22 0 22 0 93 |
+----------------------------------------------------------------------------------------+
|
|
|
|
Converted dataset: - In 2020 at 19jun2020 02:51:21 (GMT time)
- The last one, with dayid = 878 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 |
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There is a daily giveaway with KENO games on VipGame.io. Each qualified gambler will get $15 with the requirement is waggering $100+. |
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This is how it goes on Vietnam, I wonder how much does it cost for the Casino to run in our Country. Here they legalize it but still, there are lots of illegal casinos running. especially in Capital City where most of them got busted by the authorities and most of the players are Chinese. Maybe they cannot run casinos in their own country because of huge payment that's why they came to us to play because the consequences if caught are just lightly deported back to their country.
It is better to run anything legallly because owners won't get troubles with law regulation. With crypto and online crypto casinos, owners will have to be very flexible with fastly law regulation changes. There are costs and risks to run casinos legally or illegally. Running them illegally causes higher risks for owners but still owners get beneficial income, definitely. About risks, they have to think of risks carefully. Getting money and go in jails are not good endings. Another thing is moral aspect in specific nations about gambling. I am not sure how people who decided to gamble in this casino had fait that casino is provably fair? I would be
afraid to gamble in underground casino.
Provably fair is a technical term for blockchain-based casino industry. Nevertheless, I don't think all gamblers actually know and care about provably fair. What they want is place to gamble and satisfy their greediness. There are limited gamblers understand what is provably fair and know how to verify seeds to judge provably fair characteristic of casinos.  |
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I thought more like adding a link to the Merit Race thread on the bottom of the post and same adding a link to this thread on the Merit Race thread. But adding a link to a list like you give examples is also a good solution, tho you need to maintain another thread with a list. Btw, I did the same, but only for reference to quickly find what I need. Because it is an archival thread, for your own reference. You can modify it further by classifying your threads into different board categories. The default one given by the forum is for all boards: https://bitcointalk.org/gettopics.php?user=1292764 (replace your userid at the end).Next, moving further by boards with &boards=boardid at the end. I will take mine as examples:
You don't have to create your own thread list and manually update it because the forum provides it and automatically updates it for you. Having something free and operates automatically are always better because it minimizes mistakes. I feel it is useful because in the past, I managed my thread that is the same as yours: I am on the way to Legendary rank, after 2 years (only lack of activities). It takes lot of my time to update it manually.  Enjoy the tip! |
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Just an idea, why don't link the other graphs/stats you made, below on each post with graphs so people like Hhampuz don't get confused. It's not that much of a work but it will be nice to have a quick access to all of them, and you get aslo a better exposure. Correct, OP can do something like these: |
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Something is wrong with this data, specially in the last 5 weeks or so. It is different from http://loyce.club/trust/DT1-strength.txtI made the animation, but the data was inconsistent (only 3-4 DT 1 in the last week), so I will be doing another one with this file. I am sorry for the incorrect stats. For my analysis, the bug does not affect my statistical results but for yours, it does affect. I have to replace ,, to ,., with dot represents a missing value. Then everything is fine. You can check the sheet again. |
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No, I didn't mean that, I never thought you would help them to cheat like a spy I know that you are doing your job very well. Good to know that I am doing a good work. I am talking about account verification issues for sale. I see many people buying it, and many people selling it. And it means they have violated Paxful's terms of service. Many people even use fake information to verify accounts. So I think you should take measures to prevent that. Just a comment on what is happening It is not something new or strange because people do it on all platforms, not only on Paxful. I appreciated your ideas but it belong to verification team, not my side. Even if cheaters successfully verify their accounts, they will be caught sooner or later. Cheaters and scammers will be disclosed through their trading activities and more things. Ridiculously, when get caught and busted, they often cry as innocent victims. Once again, it occurs on all platforms.  |
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Amazing. I can do that with your information. I liked your idea.
Your time variable is good enough. I will convert it to real date times.
I don't know details on date time from weekid. You should ask LoyceV for such details because it depends on how he coded weekid. Now, what do you need? Data in above format or in excel sheet? |
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