If you are free (from signature), please wear those signatures to support the forum. I am not a professional signature designer, so feel free to edit those signatures to make it better. If you make it, please leave adjusted signatures, which I might consider to update the OP with newest, and better versions. Additionally, there is a Epochtalk software for new coming forum, with opened-source-code, and there are two forums (so far) used that source-code. You can join them or set-up and run your own ones in order to help the forum testing and debuging the new forum software. Reminder:Don't use same password - that you use for your account in bitcointalk.org, for your account in those forums. Credit: Heisenberg_HunterJr.Member ▄▄▄▄▄▄ BITCOINTALK.ORG ▄▄▄▄▄▄
10 YEARS OF LEGENDARY TALKS, PHENOMENAL SUCCESSES AND CATASTROPHIC FAILURES [center]▄▄▄▄▄▄ BITCOIN ▄▄▄▄▄▄
10 YEARS OF LEGENDARY TALKS, PHENOMENAL SUCCESSES AND CATASTROPHIC FAILURES[/center] Member [center][url=https://bitcointalk.org/]▬▬▬▬▬ BITCOINTALK.ORG ▬▬▬▬▬
10 years of Legendary Talks, Phenomenal Successes and Catastrophic Failures[/url]
[url=https://coinbistro.com/boards]New Testing Forum[/url] [url=http://epochtalk.org/]Epochtalk[/url] [url=https://github.com/epochtalk/epochtalk]Github[/url] [url=https://bitcointalk.org/index.php?topic=5158825.0]Announcement[/url][/center]
Full Member[center][url=https://bitcointalk.org/index.php?topic=5092492.0][b]《 [/b][color=#EBB523][size=9pt][font=arial black]SATOSHI NAKAMOTO's lesson[/font][/size][/color][/url] [url=https://bitcoin.org/en/][color=#f69212]《[/color] [font=arial black] [color=#f69212]▬▬▬▬▬ [/color][color=#f69212]BITCOIN [/color][color=#f69212]▬▬▬▬▬ [/color][/font][color=#f69212]》[/color][font=arial black][color=#EBB523] JANUARY 3,2009 [/color][/font][b] 》[/b][/url]
[font=arial black][url=https://bitcointalk.org][color=#EB9423]Bitcointalk.org[/color][/url] [url=https://bitcointalk.org/index.php?topic=5.0][color=#f69212] 10 years (22 Nov, 2009 - 2019)[/color][/url][/font]
[font=arial][b][color=#f69212]《 [/color] [b][url=http://epochtalk.org/]Epochtalk.org[/url] [url=https://github.com/epochtalk/epochtalk] Github[/url][color=#f69212] 》[/color] [color=#f69212]《 [/color] [url=https://coinbistro.com/boards]Coinbistro.com[/url] [url=https://bitcointalk.org/index.php?topic=5158825.0] ANN[/url] [color=#f69212] 》[/color] [color=#f69212]《 [/color][url=https://www.cryptos-currencies.com/boards]Crypto-currencies.com[/url] [url=https://bitcointalk.org/index.php?topic=5115500.0] ANN[/url][color=#f69212] 》[/color][/b][/font][/center]
Credits: Rizzrack[center][url=https://bitcointalk.org/index.php?topic=5092492.0][b]《 [/b][color=#EBB523][size=9pt][font=arial black]SATOSHI NAKAMOTO's lesson[/font][/size][/color][/url] [url=https://bitcoin.org/en/][color=#f69212]《[/color] [font=arial black] [color=#f69212]▬▬▬▬▬ [/color][color=#f69212]BITCOIN [/color][color=#f69212]▬▬▬▬▬ [/color][/font][color=#f69212]》[/color][font=arial black][color=#EBB523] JANUARY 3,2009 [/color][/font][b] 》[/b][/url]
[font=arial black][url=https://bitcointalk.org][color=#EB9423]Bitcointalk.org[/color][/url] [url=https://bitcointalk.org/index.php?topic=5.0][color=#f69212] 10 years (22 Nov, 2009 - 2019)[/color][/url][/font]
[font=arial][b][color=#f69212]《 [/color] [b][url=http://epochtalk.org/]Epochtalk.org[/url] [url=https://github.com/epochtalk/epochtalk] Github[/url][color=#f69212] 》[/color] [color=#f69212]《 [/color] [url=https://coinbistro.com/boards]Coinbistro.com[/url] [url=https://bitcointalk.org/index.php?topic=5158825.0] ANN[/url] [color=#f69212] 》[/color] [color=#f69212]《 [/color][url=https://discord.gg/ahgHyku]Discord Party[/url] [url=https://bitcointalk.org/index.php?topic=5247383.0] ANN[/url][color=#f69212] 》[/color][/b][/font][/center]
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[td][center][url=https://bitcoin.org/][color=#000][b][size=15pt][font=Arial black]B I T C O I N[/font][/size][/url]
[b][font=arial][size=7pt][url=https://bitcointalk.org/index.php?topic=5092492.0]S A T O S H I’s lesson[/url][/size][/font][/b][/center][/td][td][/td]
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[td][center][b][font=Arial][size=13pt] [url=https://bitcointalk.org] [color=#f69212]Bitcointalk.org[/color][/url][/size]
[url=https://bitcointalk.org/index.php?topic=5.0][size=11pt][color=#f69212]10 years (22 Nov, 2009 - 2019)[/color][/size][/center][/td][td][/td]
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[b][font=arial][size=8pt][url=https://coinbistro.com/boards][color=#777]Coinbistro.com[/color][/url] [url=https://bitcointalk.org/index.php?topic=5158825.0][color=#777] ANN[/color][/url]
[url=https://www.cryptos-currencies.com/boards][color=#777]Crypto-currencies.com[/color][/url] [url=https://bitcointalk.org/index.php?topic=5115500.0][color=#777]ANN[/color][/url][table][tr][td][/td][/tr][/table]
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[td][center][url=http://epochtalk.org/][b][font=arial black][size=11pt][color=#333]Epochtalk.org[/color][/size][/font]
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[center][url=https://github.com/epochtalk/epochtalk][color=#777][b]Github[/b][/color][/url][/center]
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[td][center][url=https://bitcoin.org/][glow=#f79413,2,300][b][font=Arial][size=11pt][size=13pt][color=#fff]PEER TO PEER[/color][/size]
[size=11pt][color=#fff]ELECTRONIC CASH SYSTEM[/color][/size][/size][/font][/b][/glow][/url][/center][/td][td][/td]
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[td][center][url=https://bitcoin.org/en/download][b][font=arial black][size=11pt][color=#333]GET YOUR[/color][/size][/font]
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Avatar Credit: saiga31
Credit: yazher
Credit: Unknown author
Credit: madnessteat
Credit: jayguar |
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Not only this discussion thread is active, but also the Announcement thread of DASH is very very actively in the forum. Over years, DASH has still been a very rare altcoins that has active ANN thread even when the project has built its own forum for a very long time ago. If you look at the ANN thread of DASH closely, you will easily see the fact that the ANN thread is much cleaner than ANN threads of other altcoins. There are very little spam posts in DASH's ANN thread, fortunately. BTW, I would like to say thanks to qwizzie, who has creative idea to create this discussion thread for DASH, as his approach to keep ANN thread for important announcements from DASH team. |
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After a few days I got back my account thank you Playbetr support for a quick responce, I want to know if I will entitle to get a welcome bonus if I'm depositing again. I really like your platform this is my new sportsbetting site I hope I will get bonus after depositing small amount of btc.
The Playbetr platform provides diversifying games and sportsbet for their users. I totally satisfy with my experience on Playbetr, from user interface to deposits and withdrawals. All things work fastly and smoothly as expected. If you look at the trust page of Playbetr account, you will see that Hhampuz, who is well-known and reliable manager left positive comments for Playbetr. That is definitely another good plus point for the platform and their reputation. |
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And I highly doubt bitcointalk is in trouble. I'd like to ask OP when the forum was getting 30 million views per month. That was probably in 2017? If so, that makes sense.
I don't know when in happened (over 30 mil. total visits per day), but I agree with you that it likely happened in late of 2017. Assumed monthly statistics on registered accounts of bitcointalk.org (2009-2019)You can read more details in that thread, or have a quick glance. December of 2017 is the period when total monthly registered accounts in the forum hit its all time high - that is shown as a spike in the below time-series plot. . list id day month2 year date regacc, abb(30)
+------------------------------------------------+
| id day month2 year date regacc |
|------------------------------------------------|
1. | 1 2 11 2009 02nov2009 3 |
2. | 2 2 12 2009 02dec2009 8 |
3. | 3 1 1 2010 01jan2010 8 |
4. | 4 31 1 2010 31jan2010 22 |
5. | 5 2 3 2010 02mar2010 5 |
|------------------------------------------------|
6. | 6 1 4 2010 01apr2010 22 |
7. | 7 1 5 2010 01may2010 15 |
8. | 8 31 5 2010 31may2010 33 |
9. | 9 30 6 2010 30jun2010 325 |
10. | 10 30 7 2010 30jul2010 159 |
|------------------------------------------------|
11. | 11 29 8 2010 29aug2010 148 |
12. | 12 28 9 2010 28sep2010 190 |
13. | 13 28 10 2010 28oct2010 204 |
14. | 14 27 11 2010 27nov2010 383 |
15. | 15 27 12 2010 27dec2010 384 |
|------------------------------------------------|
16. | 16 26 1 2011 26jan2011 938 |
17. | 17 25 2 2011 25feb2011 2202 |
18. | 18 27 3 2011 27mar2011 2737 |
19. | 19 26 4 2011 26apr2011 4936 |
20. | 20 26 5 2011 26may2011 14048 |
|------------------------------------------------|
21. | 21 25 6 2011 25jun2011 6250 |
22. | 22 25 7 2011 25jul2011 3903 |
23. | 23 24 8 2011 24aug2011 2938 |
24. | 24 23 9 2011 23sep2011 1983 |
25. | 25 23 10 2011 23oct2011 1965 |
|------------------------------------------------|
26. | 26 22 11 2011 22nov2011 1835 |
27. | 27 22 12 2011 22dec2011 1812 |
28. | 28 21 1 2012 21jan2012 2082 |
29. | 29 20 2 2012 20feb2012 1901 |
30. | 30 21 3 2012 21mar2012 2158 |
|------------------------------------------------|
31. | 31 20 4 2012 20apr2012 1969 |
32. | 32 20 5 2012 20may2012 2057 |
33. | 33 19 6 2012 19jun2012 2040 |
34. | 34 19 7 2012 19jul2012 2145 |
35. | 35 18 8 2012 18aug2012 2419 |
|------------------------------------------------|
36. | 36 17 9 2012 17sep2012 2661 |
37. | 37 17 10 2012 17oct2012 2958 |
38. | 38 16 11 2012 16nov2012 2763 |
39. | 39 16 12 2012 16dec2012 2611 |
40. | 40 15 1 2013 15jan2013 3320 |
|------------------------------------------------|
41. | 41 14 2 2013 14feb2013 4933 |
42. | 42 16 3 2013 16mar2013 13816 |
43. | 43 15 4 2013 15apr2013 18162 |
44. | 44 15 5 2013 15may2013 11318 |
45. | 45 14 6 2013 14jun2013 8095 |
|------------------------------------------------|
46. | 46 14 7 2013 14jul2013 6703 |
47. | 47 13 8 2013 13aug2013 5505 |
48. | 48 12 9 2013 12sep2013 4137 |
49. | 49 12 10 2013 12oct2013 5632 |
50. | 50 11 11 2013 11nov2013 26804 |
|------------------------------------------------|
51. | 51 11 12 2013 11dec2013 28776 |
52. | 52 10 1 2014 10jan2014 29576 |
53. | 53 9 2 2014 09feb2014 29839 |
54. | 54 11 3 2014 11mar2014 22534 |
55. | 55 10 4 2014 10apr2014 18065 |
|------------------------------------------------|
56. | 56 10 5 2014 10may2014 13071 |
57. | 57 9 6 2014 09jun2014 12180 |
58. | 58 9 7 2014 09jul2014 10561 |
59. | 59 8 8 2014 08aug2014 10925 |
60. | 60 7 9 2014 07sep2014 9418 |
|------------------------------------------------|
61. | 61 7 10 2014 07oct2014 8218 |
62. | 62 6 11 2014 06nov2014 7974 |
63. | 63 6 12 2014 06dec2014 8136 |
64. | 64 5 1 2015 05jan2015 23256 |
65. | 65 4 2 2015 04feb2015 36913 |
|------------------------------------------------|
66. | 66 6 3 2015 06mar2015 33500 |
67. | 67 5 4 2015 05apr2015 8450 |
68. | 68 5 5 2015 05may2015 8577 |
69. | 69 4 6 2015 04jun2015 10303 |
70. | 70 4 7 2015 04jul2015 11773 |
|------------------------------------------------|
71. | 71 3 8 2015 03aug2015 9725 |
72. | 72 2 9 2015 02sep2015 7644 |
73. | 73 2 10 2015 02oct2015 68601 |
74. | 74 1 11 2015 01nov2015 44059 |
75. | 75 1 12 2015 01dec2015 37106 |
|------------------------------------------------|
76. | 76 30 1 2016 30jan2016 42233 |
77. | 77 29 2 2016 29feb2016 24213 |
78. | 78 30 3 2016 30mar2016 19336 |
79. | 79 29 4 2016 29apr2016 16031 |
80. | 80 29 5 2016 29may2016 19935 |
|------------------------------------------------|
81. | 81 28 6 2016 28jun2016 12582 |
82. | 82 28 7 2016 28jul2016 10646 |
83. | 83 27 8 2016 27aug2016 9986 |
84. | 84 26 9 2016 26sep2016 9844 |
85. | 85 26 10 2016 26oct2016 10718 |
|------------------------------------------------|
86. | 86 25 11 2016 25nov2016 10691 |
87. | 87 25 12 2016 25dec2016 12429 |
88. | 88 24 1 2017 24jan2017 13664 |
89. | 89 23 2 2017 23feb2017 13893 |
90. | 90 25 3 2017 25mar2017 15276 |
|------------------------------------------------|
91. | 91 24 4 2017 24apr2017 20585 |
92. | 92 24 5 2017 24may2017 31381 |
93. | 93 23 6 2017 23jun2017 35866 |
94. | 94 23 7 2017 23jul2017 40726 |
95. | 95 22 8 2017 22aug2017 45026 |
|------------------------------------------------|
96. | 96 21 9 2017 21sep2017 70477 |
97. | 97 21 10 2017 21oct2017 95568 |
98. | 98 20 11 2017 20nov2017 144762 |
99. | 99 20 12 2017 20dec2017 238433 |
100. | 100 19 1 2018 19jan2018 136872 |
|------------------------------------------------|
101. | 101 18 2 2018 18feb2018 107237 |
102. | 102 20 3 2018 20mar2018 87087 |
103. | 103 19 4 2018 19apr2018 89659 |
104. | 104 19 5 2018 19may2018 83999 |
105. | 105 18 6 2018 18jun2018 72430 |
|------------------------------------------------|
106. | 106 18 7 2018 18jul2018 61360 |
107. | 107 17 8 2018 17aug2018 41451 |
108. | 108 16 9 2018 16sep2018 41516 |
109. | 109 16 10 2018 16oct2018 35335 |
110. | 110 15 11 2018 15nov2018 31502 |
|------------------------------------------------|
111. | 111 15 12 2018 15dec2018 20733 |
112. | 112 14 1 2019 14jan2019 20046 |
113. | 113 28 2 2019 28feb2019 16202 |
114. | 114 31 3 2019 31mar2019 18932 |
115. | 115 30 4 2019 30apr2019 17910 |
|------------------------------------------------|
116. | 116 30 5 2019 30may2019 24472 |
117. | 117 30 6 2019 30jun2019 22357 |
what are your plans to reverse this?
The forum now looks much better than months ago, especially before January of 2018 - when merit system born and positively changed the forum and users' posting habit. Personally and honestly, I don't see there are convincible reasons to reverse the forum back to its status in 2017. To reverse, there are something have to be deactivated, such as merit system, and bump score. They all have played their roles very well and positively, so I don't think they will be deactivated. Generally, the forum does not get any benefits from over high daily traffics if most of visitors are spammers, bounty hunters, and scammers. They only destroy the forum's reputation, and it is not what the forum as well as good users expect. |
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It is valuable to always keep in mind that all kind of bounties, projects (hardforked ones, for instance), that ask for private keys, seeds from bounty application forms or from their websites, are surely scam projects.
Private keys and / or seeds are utmost important things of crypto wallets, and owners should never give those things away for any reason relates to claiming coins (from hardforked projects) or receiving free coins/ tokens from bounties.
The only reason to share private keys or seeds is preventive plans when they pass away, then their wives, children can get their cryptos.
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Possible solutions: - Adjust bot(s) that count posts of participants by including post length. Most of bump posts only or mostly contain "bump/ bump for visibility/ bump!, etc.". By the way, too short posts should be rejected automatically by bots.
- Adjust timeframe to count posts of participants, for each 24 hours rather than each 3-4 hours like the campaign has so far.
What @joniboni suggested above, counting posts each week is same as mosts of other campaigns, but for Cryptotalk.org's campaign, I think that timeframe is too long. Because of they accept so many participants, and Yobit & manager should check posts every day to kick out bad posters each day (at least). It will also help to reduce spam level from bad posters, who join the campaign. |
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Grammar is not the only issue of bad posts, but for whatever reasons behind bad posts, if they are non-sense, off-topic, seriously English-broken and no one can understand it, you can report such posts. But, such posts are rarely in my opinion. Nowadays, even if people use Google translation, they can easily to make understandable posts. Of course, such posts made by Google translation are not perfect in English, and contains some vocabularies or grammartical mistakes, but they are understandable. If someone have ideas and use Google translation ask help for their posts, I think their posts will be understandable. Most of reported posts are nonsense, off-topic or very short posts without meanings. Ideas behind posts are utmost important, vocabularies and grammar are supplementary components ! If I sort out three factors: ideas, grammar, and vocabularies, in importance. They will be in order like this: |
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Update:Time series plot
Dataset for median, interquartile range of intraday merits. list week median q1 q3 merit
+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2018w26 733 609 991 4465 |
2. | 2018w27 715 598 979 4278 |
3. | 2018w28 707 592 963 4247 |
4. | 2018w29 693 589 922 4167 |
5. | 2018w30 684 577 902 3661 |
|------------------------------------------|
6. | 2018w31 682 575 891 3863 |
7. | 2018w32 675 567 880 4011 |
8. | 2018w33 667 559 867 3631 |
9. | 2018w34 652 555 848 3805 |
10. | 2018w35 642 537 844 3072 |
|------------------------------------------|
11. | 2018w36 639 528 838 3590 |
12. | 2018w37 634 528 829 5644 |
13. | 2018w38 641 530 846 7837 |
14. | 2018w39 640 531 839 4395 |
15. | 2018w40 639 528 829 4310 |
|------------------------------------------|
16. | 2018w41 637 528 808 3816 |
17. | 2018w42 639 530 807 4829 |
18. | 2018w43 639 528 801 3953 |
19. | 2018w44 628 521 796 3347 |
20. | 2018w45 630 522 789 4525 |
|------------------------------------------|
21. | 2018w46 628 523 788 3747 |
22. | 2018w47 628 522.5 783.5 4575 |
23. | 2018w48 627 522 778 3765 |
24. | 2018w49 623.5 520 775 3571 |
25. | 2018w50 622 520 774 3805 |
|------------------------------------------|
26. | 2018w51 621.5 517.5 770 3769 |
27. | 2018w52 617.5 514 764 3338 |
28. | 2019w1 617 514 769 4803 |
29. | 2019w2 621.5 515 775 6632 |
30. | 2019w3 623 517 777 5317 |
|------------------------------------------|
31. | 2019w4 623.5 518.5 775 4667 |
32. | 2019w5 622 518 775 4491 |
33. | 2019w6 622 520 775 4332 |
34. | 2019w7 621 522 771 4221 |
35. | 2019w8 621.5 521 770 4521 |
|------------------------------------------|
36. | 2019w9 622 520 769 4638 |
37. | 2019w10 624 522 766 4913 |
38. | 2019w11 624 522 762 4326 |
39. | 2019w12 626.5 523 761 4609 |
40. | 2019w13 628 525 766 6130 |
|------------------------------------------|
41. | 2019w14 627.5 529 761 4526 |
42. | 2019w15 629 530 762 5271 |
43. | 2019w16 632.5 530.5 764 4688 |
44. | 2019w17 629 530 762 4448 |
45. | 2019w18 629 531 762 4764 |
|------------------------------------------|
46. | 2019w19 636 532 762 5454 |
47. | 2019w20 638.5 532.5 767.5 5214 |
48. | 2019w21 639 533 766 4580 |
49. | 2019w22 639 535 761 4445 |
50. | 2019w23 639 535 761 4687 |
|------------------------------------------|
51. | 2019w24 640 536 764 5354 |
52. | 2019w25 640 537 762 4726 |
53. | 2019w26 640 535 762 4367 |
54. | 2019w27 640 535 761 4225 |
55. | 2019w28 639 532.5 761 4119 |
|------------------------------------------|
56. | 2019w29 639 532 761 4277 |
57. | 2019w30 636.5 533 760 4176 |
58. | 2019w31 629 532 760 3549 |
59. | 2019w32 628 530 757 3207 |
60. | 2019w33 628 530 755 4236 |
|------------------------------------------|
61. | 2019w34 627 529 752 3622 |
62. | 2019w35 627 528 750 3540 |
63. | 2019w36 625.5 526.5 742 3809 |
64. | 2019w37 625 525 742 4043 |
65. | 2019w38 624 528 738 4520 |
|------------------------------------------|
66. | 2019w39 624 528 737 4318 |
67. | 2019w40 624 525 737 4357 |
List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.. list week median q1 q3 merit
+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2019w1 617 514 769 4803 |
2. | 2018w52 617.5 514 764 3338 |
3. | 2019w7 621 522 771 4221 |
4. | 2019w8 621.5 521 770 4521 |
5. | 2019w2 621.5 515 775 6632 |
|------------------------------------------|
6. | 2018w51 621.5 517.5 770 3769 |
7. | 2019w5 622 518 775 4491 |
8. | 2018w50 622 520 774 3805 |
9. | 2019w6 622 520 775 4332 |
10. | 2019w9 622 520 769 4638 |
|------------------------------------------|
11. | 2019w3 623 517 777 5317 |
12. | 2019w4 623.5 518.5 775 4667 |
13. | 2018w49 623.5 520 775 3571 |
14. | 2019w39 624 528 737 4318 |
15. | 2019w10 624 522 766 4913 |
|------------------------------------------|
16. | 2019w40 624 525 737 4357 |
17. | 2019w11 624 522 762 4326 |
18. | 2019w38 624 528 738 4520 |
19. | 2019w37 625 525 742 4043 |
20. | 2019w36 625.5 526.5 742 3809 |
|------------------------------------------|
21. | 2019w12 626.5 523 761 4609 |
22. | 2019w35 627 528 750 3540 |
23. | 2018w48 627 522 778 3765 |
24. | 2019w34 627 529 752 3622 |
25. | 2019w14 627.5 529 761 4526 |
|------------------------------------------|
26. | 2019w33 628 530 755 4236 |
27. | 2019w32 628 530 757 3207 |
28. | 2019w13 628 525 766 6130 |
29. | 2018w47 628 522.5 783.5 4575 |
30. | 2018w44 628 521 796 3347 |
|------------------------------------------|
31. | 2018w46 628 523 788 3747 |
32. | 2019w17 629 530 762 4448 |
33. | 2019w31 629 532 760 3549 |
34. | 2019w18 629 531 762 4764 |
35. | 2019w15 629 530 762 5271 |
|------------------------------------------|
36. | 2018w45 630 522 789 4525 |
37. | 2019w16 632.5 530.5 764 4688 |
38. | 2018w37 634 528 829 5644 |
39. | 2019w19 636 532 762 5454 |
40. | 2019w30 636.5 533 760 4176 |
|------------------------------------------|
41. | 2018w41 637 528 808 3816 |
42. | 2019w20 638.5 532.5 767.5 5214 |
43. | 2019w23 639 535 761 4687 |
44. | 2018w43 639 528 801 3953 |
45. | 2019w29 639 532 761 4277 |
|------------------------------------------|
46. | 2019w22 639 535 761 4445 |
47. | 2018w42 639 530 807 4829 |
48. | 2019w21 639 533 766 4580 |
49. | 2018w36 639 528 838 3590 |
50. | 2019w28 639 532.5 761 4119 |
|------------------------------------------|
51. | 2018w40 639 528 829 4310 |
52. | 2018w39 640 531 839 4395 |
53. | 2019w27 640 535 761 4225 |
54. | 2019w26 640 535 762 4367 |
55. | 2019w24 640 536 764 5354 |
|------------------------------------------|
56. | 2019w25 640 537 762 4726 |
57. | 2018w38 641 530 846 7837 |
58. | 2018w35 642 537 844 3072 |
59. | 2018w34 652 555 848 3805 |
60. | 2018w33 667 559 867 3631 |
|------------------------------------------|
61. | 2018w32 675 567 880 4011 |
62. | 2018w31 682 575 891 3863 |
63. | 2018w30 684 577 902 3661 |
64. | 2018w29 693 589 922 4167 |
65. | 2018w28 707 592 963 4247 |
|------------------------------------------|
66. | 2018w27 715 598 979 4278 |
67. | 2018w26 733 609 991 4465 |
Now, let's take a look at the variations of intra-day medians over weeks. Method: I took medians of intraday merits over weeks (since 2018w46, from id 293 - 299, here). The median of intraday merits at the end of 2018w46 will be calculated from intraday merits started from days with id #26 - # 299; days before id #26 truncated due to extremely outliers. For later weeks, just moving forwards with each 7-day-time-frame to calculate next medians of intradays over weeks. Since 2018w48 to 2019w40, the dataset has: - 64 weeks in total. - Median of median of intraday merits over weeks is 629. - Interquartile range of median of median of intraday merits over weeks ranges from 624 to 639. . tabstat median, s(n mean sd p25 p50 p75 min max) format(%9.1f)
variable | N mean sd p25 p50 p75 min max
-------------+--------------------------------------------------------------------------------
median | 64.0 634.4 15.6 624.0 629.0 639.0 617.0 693.0
----------------------------------------------------------------------------------------------
- From LoyceV's weekly data dumps. - From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)
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ABSTRACT
Intra-day merits:
Notes:
- The part of the asbstract describes figures of intraday merits over the period from 19/2/2018 to 07/10/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 07/10/2019 truncated as well due to incomplete week (the 2019w41);
- Statistics presented in the post are for truncated dataset
(1) Potential outliers are days that have intraday total merits beyond 207 or 1055;
(2) Median of intraday merits over the period is 624;
(3) 50% of observed days have their intra-day merits range from 525 to 737 (the interquartile range);
(4) Friday [in GTM time] is the day over weeks has lowest intraday merits in terms of both median and mean, at 584, and 607, respectively.
(5) Monday [in GTM time] is the day over weeks has highest intraday merits in terms of median and mean, at 670, and 724.
(6) There are 36 potential outliers in total, and only six of them occured in 2019, 04/01/2019 (1083) , 09/1/2019 (1162), 14/01/2019 (1128) , 27/3/2019 (1250), 13/5/2019 (1151), and 11/6/2019 (1188).
(7) Minimum and maximum of intraday merits (full dataset) are 295, and 13018, on 03/8/2019 and 24/1/2018, respectively.
Intra-week merits:
Notes:
The part of the abstract use full dataset, only dropped last two days due to incomple week (2019w41).
(1) The median of intra-week merits is 4465;
(2) 50% of observed weeks (89 weeeks in total), have total merits in the range from 4011 to 4929 (the interquaritle range of intra-week merits).
(3) Minimum and maximum of intra-week merits are 3072 and 30960, in 2018w35, and 2018w4, respectively;
(4) Thirteen potential outliers [beyond 2634 or 6306], only one of them occurred in the year 2019, in 2019w2 at 6632.
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Intra-week merits (from 24/1/2018 to 07/10/2019)Last two days dropped due to incomplete weeks (2019w41)Converted dataset:. list merit week
+-----------------+
| merit week |
|-----------------|
1. | 30960 2018w4 |
2. | 19979 2018w5 |
3. | 13313 2018w6 |
4. | 11745 2018w7 |
5. | 8767 2018w8 |
|-----------------|
6. | 8833 2018w9 |
7. | 7261 2018w10 |
8. | 7317 2018w11 |
9. | 6952 2018w12 |
10. | 6744 2018w13 |
|-----------------|
11. | 6423 2018w14 |
12. | 5494 2018w15 |
13. | 4742 2018w16 |
14. | 4612 2018w17 |
15. | 4965 2018w18 |
|-----------------|
16. | 4766 2018w19 |
17. | 4353 2018w20 |
18. | 3864 2018w21 |
19. | 4194 2018w22 |
20. | 4538 2018w23 |
|-----------------|
21. | 3839 2018w24 |
22. | 4929 2018w25 |
23. | 4465 2018w26 |
24. | 4278 2018w27 |
25. | 4247 2018w28 |
|-----------------|
26. | 4167 2018w29 |
27. | 3661 2018w30 |
28. | 3863 2018w31 |
29. | 4011 2018w32 |
30. | 3631 2018w33 |
|-----------------|
31. | 3805 2018w34 |
32. | 3072 2018w35 |
33. | 3590 2018w36 |
34. | 5644 2018w37 |
35. | 7837 2018w38 |
|-----------------|
36. | 4395 2018w39 |
37. | 4310 2018w40 |
38. | 3816 2018w41 |
39. | 4829 2018w42 |
40. | 3953 2018w43 |
|-----------------|
41. | 3347 2018w44 |
42. | 4525 2018w45 |
43. | 3747 2018w46 |
44. | 4575 2018w47 |
45. | 3765 2018w48 |
|-----------------|
46. | 3571 2018w49 |
47. | 3805 2018w50 |
48. | 3769 2018w51 |
49. | 3338 2018w52 |
50. | 4803 2019w1 |
|-----------------|
51. | 6632 2019w2 |
52. | 5317 2019w3 |
53. | 4667 2019w4 |
54. | 4491 2019w5 |
55. | 4332 2019w6 |
|-----------------|
56. | 4221 2019w7 |
57. | 4521 2019w8 |
58. | 4638 2019w9 |
59. | 4913 2019w10 |
60. | 4326 2019w11 |
|-----------------|
61. | 4609 2019w12 |
62. | 6130 2019w13 |
63. | 4526 2019w14 |
64. | 5271 2019w15 |
65. | 4688 2019w16 |
|-----------------|
66. | 4448 2019w17 |
67. | 4764 2019w18 |
68. | 5454 2019w19 |
69. | 5214 2019w20 |
70. | 4580 2019w21 |
|-----------------|
71. | 4445 2019w22 |
72. | 4687 2019w23 |
73. | 5354 2019w24 |
74. | 4726 2019w25 |
75. | 4367 2019w26 |
|-----------------|
76. | 4225 2019w27 |
77. | 4119 2019w28 |
78. | 4277 2019w29 |
79. | 4176 2019w30 |
80. | 3549 2019w31 |
|-----------------|
81. | 3207 2019w32 |
82. | 4236 2019w33 |
83. | 3622 2019w34 |
84. | 3540 2019w35 |
85. | 3809 2019w36 |
|-----------------|
86. | 4043 2019w37 |
87. | 4520 2019w38 |
88. | 4318 2019w39 |
89. | 4357 2019w40 |
+-----------------+
- 50% of observed weeks ( 89 weeks) have total intra-week merits above 4465, whilst the rest 50% of them have total intra-week merits below 4465. 4465 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4011 to 4929 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 3072 - 30960. . tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 89.0 5311.6 3571.5 4465.0 4011.0 4929.0 3072.0 30960.0
----------------------------------------------------------------------------------------------
. di 4929-4011
918
. di 918*1.5
1377
. di 4929+1377
6306
. di 4011-1377
2634
It means that potential outliers are weeks that have intra-week merits beyond 2634 or 6306. Results are as same as last week's data update. How many weeks are potential outliers? . count if (merit >= 6306 | merit < 2634) & merit != .
13
weeks are outliers, in total. List of those thirteen weeks: . list merit week if merit >= 6306 | merit <= 2634
+-----------------+
| merit week |
|-----------------|
1. | 30960 2018w4 |
2. | 19979 2018w5 |
3. | 13313 2018w6 |
4. | 11745 2018w7 |
5. | 8767 2018w8 |
|-----------------|
6. | 8833 2018w9 |
7. | 7261 2018w10 |
8. | 7317 2018w11 |
9. | 6952 2018w12 |
10. | 6744 2018w13 |
|-----------------|
11. | 6423 2018w14 |
35. | 7837 2018w38 |
51. | 6632 2019w2 |
+-----------------+
Most of them occured in the year 2018, and there is only one outlier week occured in 2019, in 2019w2 at 6632. 
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Medians and means of intra-day merits over days of weeks.Colors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Monday, Wednesday, and Thursday at 670, 653, and 651, respectively; whislt the lowest days are Friday, Saturday, and Sunday at 584, 588, and 607, respectively. - In means, the highest days are Monday, Wednesday, and Tuesday, at 724, 694, and 687, respectively; whilst the lowest days are Friday, Saturday, and Sunday, at 607, 609, and 664, respectively. - Monday has still been the highest day in terms of median and mean of intra-day merits over weeks, in contrast Friday is the lowest days in terms of median, and mean of intra-day merits over weeks. Calendar day is in GMT time.To take away all doubt: the first Merit was this one: 1516831941 1 2818066.msg28853325 35 877396 Use EpochConverter to convert 1516831941 (Unix Time) to GMT: Wednesday 24 January 2018 22:12:21. . tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f) by(dofw)
Summary for variables: merit
by categories of: dofw
dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
Sunday | 85.0 663.4 274.6 607.0 505.0 770.0 394.0 2464.0
Monday | 86.0 723.4 257.0 669.5 563.0 797.0 313.0 1863.0
Tuesday | 85.0 686.4 197.9 639.0 586.0 734.0 384.0 1327.0
Wednesday | 85.0 693.8 199.4 653.0 558.0 760.0 394.0 1271.0
Thursday | 85.0 676.4 191.7 651.0 533.0 766.0 348.0 1335.0
Friday | 85.0 606.6 187.5 584.0 500.0 651.0 349.0 1706.0
Saturday | 85.0 609.0 196.0 588.0 478.0 682.0 295.0 1410.0
----------+--------------------------------------------------------------------------------
Total | 596.0 665.7 220.1 624.0 525.0 737.0 295.0 2464.0
-------------------------------------------------------------------------------------------
Outliers displayed as red circles. Outliers non-displayed.
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During the period from 24/1/2018 to 09/10/2019, the minimum and maximum of intra-day merit are 295 and 13018, on 03/8/2019 and 24/1/2018, respectively. List of the top 50-highest day in terms of intra-day merits: . list merit id date dofw day month2 year week month
+-------------------------------------------------------------------------------+
| merit id date dofw day month2 year week month |
|-------------------------------------------------------------------------------|
1. | 13018 1 24jan2018 Wednesday 24 1 2018 2018w4 2018m1 |
2. | 6762 2 25jan2018 Thursday 25 1 2018 2018w4 2018m1 |
3. | 4500 3 26jan2018 Friday 26 1 2018 2018w4 2018m1 |
4. | 4193 7 30jan2018 Tuesday 30 1 2018 2018w5 2018m1 |
5. | 3800 6 29jan2018 Monday 29 1 2018 2018w5 2018m1 |
|-------------------------------------------------------------------------------|
6. | 3490 4 27jan2018 Saturday 27 1 2018 2018w4 2018m1 |
7. | 3190 5 28jan2018 Sunday 28 1 2018 2018w4 2018m1 |
8. | 2821 8 31jan2018 Wednesday 31 1 2018 2018w5 2018m1 |
9. | 2569 10 02feb2018 Friday 2 2 2018 2018w5 2018m2 |
10. | 2546 9 01feb2018 Thursday 1 2 2018 2018w5 2018m2 |
|-------------------------------------------------------------------------------|
11. | 2514 22 14feb2018 Wednesday 14 2 2018 2018w7 2018m2 |
12. | 2464 236 16sep2018 Sunday 16 9 2018 2018w37 2018m9 |
13. | 2310 14 06feb2018 Tuesday 6 2 2018 2018w6 2018m2 |
14. | 2182 12 04feb2018 Sunday 4 2 2018 2018w5 2018m2 |
15. | 2143 16 08feb2018 Thursday 8 2 2018 2018w6 2018m2 |
|-------------------------------------------------------------------------------|
16. | 2142 15 07feb2018 Wednesday 7 2 2018 2018w6 2018m2 |
17. | 2078 13 05feb2018 Monday 5 2 2018 2018w6 2018m2 |
18. | 1992 23 15feb2018 Thursday 15 2 2018 2018w7 2018m2 |
19. | 1868 11 03feb2018 Saturday 3 2 2018 2018w5 2018m2 |
20. | 1863 237 17sep2018 Monday 17 9 2018 2018w38 2018m9 |
|-------------------------------------------------------------------------------|
21. | 1748 18 10feb2018 Saturday 10 2 2018 2018w6 2018m2 |
22. | 1706 38 02mar2018 Friday 2 3 2018 2018w9 2018m3 |
23. | 1618 25 17feb2018 Saturday 17 2 2018 2018w7 2018m2 |
24. | 1580 21 13feb2018 Tuesday 13 2 2018 2018w7 2018m2 |
25. | 1449 17 09feb2018 Friday 9 2 2018 2018w6 2018m2 |
|-------------------------------------------------------------------------------|
26. | 1443 19 11feb2018 Sunday 11 2 2018 2018w6 2018m2 |
27. | 1416 24 16feb2018 Friday 16 2 2018 2018w7 2018m2 |
28. | 1410 32 24feb2018 Saturday 24 2 2018 2018w8 2018m2 |
29. | 1404 27 19feb2018 Monday 19 2 2018 2018w8 2018m2 |
30. | 1392 34 26feb2018 Monday 26 2 2018 2018w9 2018m2 |
|-------------------------------------------------------------------------------|
31. | 1355 48 12mar2018 Monday 12 3 2018 2018w11 2018m3 |
32. | 1335 37 01mar2018 Thursday 1 3 2018 2018w9 2018m3 |
33. | 1332 20 12feb2018 Monday 12 2 2018 2018w7 2018m2 |
34. | 1327 35 27feb2018 Tuesday 27 2 2018 2018w9 2018m2 |
35. | 1324 56 20mar2018 Tuesday 20 3 2018 2018w12 2018m3 |
|-------------------------------------------------------------------------------|
36. | 1295 238 18sep2018 Tuesday 18 9 2018 2018w38 2018m9 |
37. | 1293 26 18feb2018 Sunday 18 2 2018 2018w7 2018m2 |
38. | 1280 30 22feb2018 Thursday 22 2 2018 2018w8 2018m2 |
39. | 1271 239 19sep2018 Wednesday 19 9 2018 2018w38 2018m9 |
40. | 1268 29 21feb2018 Wednesday 21 2 2018 2018w8 2018m2 |
|-------------------------------------------------------------------------------|
41. | 1258 68 01apr2018 Sunday 1 4 2018 2018w13 2018m4 |
42. | 1250 428 27mar2019 Wednesday 27 3 2019 2019w13 2019m3 |
43. | 1246 41 05mar2018 Monday 5 3 2018 2018w10 2018m3 |
44. | 1229 57 21mar2018 Wednesday 21 3 2018 2018w12 2018m3 |
45. | 1188 504 11jun2019 Tuesday 11 6 2019 2019w24 2019m6 |
|-------------------------------------------------------------------------------|
46. | 1187 33 25feb2018 Sunday 25 2 2018 2018w8 2018m2 |
47. | 1170 28 20feb2018 Tuesday 20 2 2018 2018w8 2018m2 |
48. | 1162 351 09jan2019 Wednesday 9 1 2019 2019w2 2019m1 |
49. | 1160 50 14mar2018 Wednesday 14 3 2018 2018w11 2018m3 |
50. | 1151 475 13may2019 Monday 13 5 2019 2019w19 2019m5 |
List of the top 50-lowest days in terms of intra-day merits: . list merit id date dofw day month2 year week month
+-------------------------------------------------------------------------------+
| merit id date dofw day month2 year week month |
|-------------------------------------------------------------------------------|
1. | 295 557 03aug2019 Saturday 3 8 2019 2019w31 2019m8 |
2. | 313 335 24dec2018 Monday 24 12 2018 2018w52 2018m12 |
3. | 317 333 22dec2018 Saturday 22 12 2018 2018w51 2018m12 |
4. | 328 564 10aug2019 Saturday 10 8 2019 2019w32 2019m8 |
5. | 344 340 29dec2018 Saturday 29 12 2018 2018w52 2018m12 |
|-------------------------------------------------------------------------------|
6. | 348 298 17nov2018 Saturday 17 11 2018 2018w46 2018m11 |
7. | 348 338 27dec2018 Thursday 27 12 2018 2018w52 2018m12 |
8. | 349 304 23nov2018 Friday 23 11 2018 2018w47 2018m11 |
9. | 368 566 12aug2019 Monday 12 8 2019 2019w32 2019m8 |
10. | 371 122 25may2018 Friday 25 5 2018 2018w21 2018m5 |
|-------------------------------------------------------------------------------|
11. | 377 191 02aug2018 Thursday 2 8 2018 2018w31 2018m8 |
12. | 377 342 31dec2018 Monday 31 12 2018 2018w52 2018m12 |
13. | 379 326 15dec2018 Saturday 15 12 2018 2018w50 2018m12 |
14. | 380 220 31aug2018 Friday 31 8 2018 2018w35 2018m8 |
15. | 382 599 14sep2019 Saturday 14 9 2019 2019w37 2019m9 |
|-------------------------------------------------------------------------------|
16. | 384 217 28aug2018 Tuesday 28 8 2018 2018w35 2018m8 |
17. | 386 214 25aug2018 Saturday 25 8 2018 2018w34 2018m8 |
18. | 387 339 28dec2018 Friday 28 12 2018 2018w52 2018m12 |
19. | 394 341 30dec2018 Sunday 30 12 2018 2018w52 2018m12 |
20. | 394 568 14aug2019 Wednesday 14 8 2019 2019w33 2019m8 |
|-------------------------------------------------------------------------------|
21. | 395 345 03jan2019 Thursday 3 1 2019 2019w1 2019m1 |
22. | 395 529 06jul2019 Saturday 6 7 2019 2019w27 2019m7 |
23. | 396 228 08sep2018 Saturday 8 9 2018 2018w36 2018m9 |
24. | 398 320 09dec2018 Sunday 9 12 2018 2018w49 2018m12 |
25. | 399 558 04aug2019 Sunday 4 8 2019 2019w31 2019m8 |
|-------------------------------------------------------------------------------|
26. | 400 262 12oct2018 Friday 12 10 2018 2018w41 2018m10 |
27. | 403 329 18dec2018 Tuesday 18 12 2018 2018w51 2018m12 |
28. | 406 287 06nov2018 Tuesday 6 11 2018 2018w45 2018m11 |
29. | 407 556 02aug2019 Friday 2 8 2019 2019w31 2019m8 |
30. | 411 565 11aug2019 Sunday 11 8 2019 2019w32 2019m8 |
|-------------------------------------------------------------------------------|
31. | 413 403 02mar2019 Saturday 2 3 2019 2019w9 2019m3 |
32. | 413 222 02sep2018 Sunday 2 9 2018 2018w35 2018m9 |
33. | 414 527 04jul2019 Thursday 4 7 2019 2019w27 2019m7 |
34. | 416 533 10jul2019 Wednesday 10 7 2019 2019w28 2019m7 |
35. | 416 588 03sep2019 Tuesday 3 9 2019 2019w36 2019m9 |
|-------------------------------------------------------------------------------|
36. | 416 278 28oct2018 Sunday 28 10 2018 2018w43 2018m10 |
37. | 417 587 02sep2019 Monday 2 9 2019 2019w35 2019m9 |
38. | 417 592 07sep2019 Saturday 7 9 2019 2019w36 2019m9 |
39. | 417 109 12may2018 Saturday 12 5 2018 2018w19 2018m5 |
40. | 419 186 28jul2018 Saturday 28 7 2018 2018w30 2018m7 |
|-------------------------------------------------------------------------------|
41. | 421 187 29jul2018 Sunday 29 7 2018 2018w30 2018m7 |
42. | 422 192 03aug2018 Friday 3 8 2018 2018w31 2018m8 |
43. | 425 276 26oct2018 Friday 26 10 2018 2018w43 2018m10 |
44. | 427 140 12jun2018 Tuesday 12 6 2018 2018w24 2018m6 |
45. | 427 277 27oct2018 Saturday 27 10 2018 2018w43 2018m10 |
|-------------------------------------------------------------------------------|
46. | 429 313 02dec2018 Sunday 2 12 2018 2018w48 2018m12 |
47. | 429 418 17mar2019 Sunday 17 3 2019 2019w11 2019m3 |
48. | 431 264 14oct2018 Sunday 14 10 2018 2018w41 2018m10 |
49. | 431 284 03nov2018 Saturday 3 11 2018 2018w44 2018m11 |
50. | 433 221 01sep2018 Saturday 1 9 2018 2018w35 2018m9 |
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Time-series plots:Full dataset:Truncated dataset:
Basic statistics:Full dataset (only dropped first three days):. tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 620.0 730.6 427.0 628.5 530.0 762.5 295.0 4500.0
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 182 or 1112. . di 762.5-530
232.5
. di 232.5*1.5
348.75
. di 762.5+348.75
1111.25
. di 530-348.75
181.25
There are 52 outliers in full dataset, in total. . count if (merit >= 1112 | merit <= 182) & merit != .
52
Those days are: . list id merit date if (merit >= 1112 | merit <= 182) & merit != .
+-------------------------+
| id merit date |
|-------------------------|
1. | 3 4500 26jan2018 |
2. | 4 3490 27jan2018 |
3. | 5 3190 28jan2018 |
4. | 6 3800 29jan2018 |
5. | 7 4193 30jan2018 |
|-------------------------|
6. | 8 2821 31jan2018 |
7. | 9 2546 01feb2018 |
8. | 10 2569 02feb2018 |
9. | 11 1868 03feb2018 |
10. | 12 2182 04feb2018 |
|-------------------------|
11. | 13 2078 05feb2018 |
12. | 14 2310 06feb2018 |
13. | 15 2142 07feb2018 |
14. | 16 2143 08feb2018 |
15. | 17 1449 09feb2018 |
|-------------------------|
16. | 18 1748 10feb2018 |
17. | 19 1443 11feb2018 |
18. | 20 1332 12feb2018 |
19. | 21 1580 13feb2018 |
20. | 22 2514 14feb2018 |
|-------------------------|
21. | 23 1992 15feb2018 |
22. | 24 1416 16feb2018 |
23. | 25 1618 17feb2018 |
24. | 26 1293 18feb2018 |
25. | 27 1404 19feb2018 |
|-------------------------|
26. | 28 1170 20feb2018 |
27. | 29 1268 21feb2018 |
28. | 30 1280 22feb2018 |
30. | 32 1410 24feb2018 |
31. | 33 1187 25feb2018 |
|-------------------------|
32. | 34 1392 26feb2018 |
33. | 35 1327 27feb2018 |
35. | 37 1335 01mar2018 |
36. | 38 1706 02mar2018 |
39. | 41 1246 05mar2018 |
|-------------------------|
46. | 48 1355 12mar2018 |
48. | 50 1160 14mar2018 |
49. | 51 1131 15mar2018 |
54. | 56 1324 20mar2018 |
55. | 57 1229 21mar2018 |
|-------------------------|
66. | 68 1258 01apr2018 |
67. | 69 1147 02apr2018 |
151. | 153 1139 25jun2018 |
234. | 236 2464 16sep2018 |
235. | 237 1863 17sep2018 |
|-------------------------|
236. | 238 1295 18sep2018 |
237. | 239 1271 19sep2018 |
349. | 351 1162 09jan2019 |
354. | 356 1128 14jan2019 |
426. | 428 1250 27mar2019 |
|-------------------------|
473. | 475 1151 13may2019 |
502. | 504 1188 11jun2019 |
+-------------------------+
Only five of them occured in 2019, on 09/1/2019 (1162), 14/1/2019 (1128), 27/3/2019 (1250), 13/5/2019 (1151), and 11/6/2019 (1188). Truncated dataset (first 25 days dropped):. tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 596.0 665.7 220.1 624.0 525.0 737.0 295.0 2464.0
----------------------------------------------------------------------------------------------
Applied same formulas I used in earlier analyses, potential outliers are days have intra-day merits beyond 207 or 1055. . di 737-525
212
. di 212*1.5
318
. di 737+318
1055
. di 525-318
207
There are 36 outliers in total, only six of them occured in 2019, on 04/01/2019 (1083) , 09/1/2019 (1162), 14/01/2019 (1128) , 27/3/2019 (1250), 13/5/2019 (1151), and 11/6/2019 (1188). . count if (merit >= 1055 | merit <= 207) & merit != .
36
List of those 36 outliers in truncated dataset . list id merit date if (merit >= 1055 | merit <= 207) & merit != .
+-------------------------+
| id merit date |
|-------------------------|
1. | 27 1404 19feb2018 |
2. | 28 1170 20feb2018 |
3. | 29 1268 21feb2018 |
4. | 30 1280 22feb2018 |
6. | 32 1410 24feb2018 |
|-------------------------|
7. | 33 1187 25feb2018 |
8. | 34 1392 26feb2018 |
9. | 35 1327 27feb2018 |
11. | 37 1335 01mar2018 |
12. | 38 1706 02mar2018 |
|-------------------------|
13. | 39 1090 03mar2018 |
15. | 41 1246 05mar2018 |
16. | 42 1075 06mar2018 |
17. | 43 1111 07mar2018 |
21. | 47 1092 11mar2018 |
|-------------------------|
22. | 48 1355 12mar2018 |
24. | 50 1160 14mar2018 |
25. | 51 1131 15mar2018 |
30. | 56 1324 20mar2018 |
31. | 57 1229 21mar2018 |
|-------------------------|
42. | 68 1258 01apr2018 |
43. | 69 1147 02apr2018 |
44. | 70 1081 03apr2018 |
45. | 71 1062 04apr2018 |
49. | 75 1057 08apr2018 |
|-------------------------|
127. | 153 1139 25jun2018 |
210. | 236 2464 16sep2018 |
211. | 237 1863 17sep2018 |
212. | 238 1295 18sep2018 |
213. | 239 1271 19sep2018 |
|-------------------------|
320. | 346 1083 04jan2019 |
325. | 351 1162 09jan2019 |
330. | 356 1128 14jan2019 |
402. | 428 1250 27mar2019 |
449. | 475 1151 13may2019 |
|-------------------------|
478. | 504 1188 11jun2019 |
+-------------------------+
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Update:ABSTRACT- Median (interquartile range) of weekly earned merits for all 100 top merited profiles is 8 (2 - 18). It means they usually earn around 1 merit per day.
- Median (interquartile range) of weekly earned merits for the group of 1-25 is 12 (4 - 28), that is significantly higher than the figures of last 3 groups: 26-50 (9), 51-75 (7), and 76-100 (7).
- Min - max: 0 and 113, respectively.
- LoyceV has slowly moved to the top of 5, currently stays at the 2nd position. It is not strange because LoyceV is the second merit receiver, just behind theymos.
- Period: 2019w23 - 2019w40
- Weekly earned merits: are not exacly weekly in Calendar day; and come from theymos' merit data dumps and LoyceV's data update. See
- All users in the top 100: 8 merits per week, with interquartile range is 2 to 18. It means if someone can manage to earn more than 7 merits per week, over months, they might move to the top months later.
- The top 1-25: 12 merits per week, that is 30-percent higher than the the second group (top 26-50) at 9. The rest two groups (top 51-75, and top 76-100) have same median at 7. (see details below)
- In median, top 26-100 merited users earn a little more than1 merit per day
Data for last week (2019w40) Source: https://bitcointalk.org/index.php?topic=5115154.msg52736113#msg52736113. list id username m40 c40
+-------------------------------------------+
| id username m40 c40 |
|-------------------------------------------|
1. | 1 theymos 5313 32 |
2. | 2 LoyceV 3755 52 |
3. | 3 suchmoon 3068 22 |
4. | 4 DdmrDdmr 2745 16 |
5. | 5 o_e_l_e_o 2743 43 |
|-------------------------------------------|
6. | 6 micgoossens 2603 45 |
7. | 7 The Pharmacist 2120 10 |
8. | 8 satoshi 1991 71 |
9. | 9 Last of the V8s 1851 8 |
10. | 10 achow101 1788 29 |
|-------------------------------------------|
11. | 11 hilariousetc 1725 0 |
12. | 12 gmaxwell 1455 35 |
13. | 13 1miau 1397 4 |
14. | 14 abhiseshakana 1362 5 |
15. | 15 HairyMaclairy 1388 12 |
|-------------------------------------------|
16. | 16 Vod 1307 0 |
17. | 17 HCP 1325 18 |
18. | 18 xhomerx10 1346 36 |
19. | 19 nutildah 1350 4 |
20. | 20 bob123 1313 14 |
|-------------------------------------------|
21. | 21 xtraelv 1256 1 |
22. | 22 Jet Cash 1269 8 |
23. | 23 krogothmanhattan 1239 3 |
24. | 24 Hhampuz 1218 1 |
25. | 25 iasenko 1216 0 |
|-------------------------------------------|
26. | 26 mikeywith 1301 45 |
27. | 27 qwk 1166 8 |
28. | 28 marlboroza 1148 5 |
29. | 29 Piggy 1133 0 |
30. | 30 Lauda 1133 9 |
|-------------------------------------------|
31. | 31 fillippone 1352 113 |
32. | 32 joniboni 1128 10 |
33. | 33 Steamtyme 1126 2 |
34. | 34 LFC_Bitcoin 1157 10 |
35. | 35 TMAN 1054 0 |
|-------------------------------------------|
36. | 36 coinlocket$ 1095 25 |
37. | 37 ETFbitcoin 1047 8 |
38. | 38 bitmover 1060 10 |
39. | 39 BitCryptex 1027 11 |
40. | 40 JayJuanGee 1055 13 |
|-------------------------------------------|
41. | 41 BobLawblaw 1033 14 |
42. | 42 roycilik 986 0 |
43. | 43 Toxic2040 985 0 |
44. | 44 DarkStar_ 1031 5 |
45. | 45 TryNinja 1049 21 |
|-------------------------------------------|
46. | 46 gentlemand 1020 7 |
47. | 47 SaltySpitoon 977 1 |
48. | 48 mu_enrico 978 4 |
49. | 49 theyoungmillionaire 927 2 |
50. | 50 VB1001 1026 5 |
|-------------------------------------------|
51. | 51 Alex_Sr 897 2 |
52. | 52 taikuri13 955 22 |
53. | 53 morillz7z 959 39 |
54. | 54 philipma1957 912 7 |
55. | 55 ICOEthics 877 0 |
|-------------------------------------------|
56. | 56 Carlton Banks 947 31 |
57. | 57 pooya87 942 22 |
58. | 58 Husna QA 873 4 |
59. | 59 minerjones 890 5 |
60. | 60 jojo69 876 4 |
|-------------------------------------------|
61. | 61 kenzawak 841 0 |
62. | 62 Veleor 1025 81 |
63. | 63 pandukelana2712 833 6 |
64. | 64 Lutpin 816 0 |
65. | 65 Xal0lex 849 2 |
|-------------------------------------------|
66. | 66 PHI16168 795 2 |
67. | 67 Coolcryptovator 844 11 |
68. | 68 nullius 782 1 |
69. | 69 TheNewAnon135246 784 2 |
70. | 70 yogg 826 3 |
|-------------------------------------------|
71. | 71 infofront 846 2 |
72. | 72 Coding Enthusiast 831 45 |
73. | 73 CryptopreneurBrainboss 809 18 |
74. | 74 Quickseller 759 0 |
75. | 75 DireWolfM14 787 8 |
|-------------------------------------------|
76. | 76 loyvesmayfamilis 819 31 |
77. | 77 actmyame 768 8 |
78. | 78 mocacino 774 4 |
79. | 79 OgNasty 726 3 |
80. | 80 asche 737 3 |
|-------------------------------------------|
81. | 81 Goran_ 743 9 |
82. | 82 Flying Hellfish 701 0 |
83. | 83 witcher_sense 771 21 |
84. | 84 bones261 705 1 |
85. | 85 mole0815 726 6 |
|-------------------------------------------|
86. | 86 LeGaulois 689 5 |
87. | 87 Lafu 689 4 |
88. | 88 yahoo62278 827 16 |
89. | 89 hilariousandco 659 1 |
90. | 90 Pmalek 657 6 |
|-------------------------------------------|
91. | 91 tvplus006 706 17 |
92. | 92 HeRetiK 626 0 |
93. | 93 wwzsocki 746 78 |
94. | 94 stompix 669 8 |
95. | 95 Artemis3 636 12 |
|-------------------------------------------|
96. | 96 tranthidung 720 15 |
97. | 97 TheFuzzStone 613 10 |
98. | 98 chimk 642 17 |
99. | 99 Coin-1 620 6 |
100. | 100 mjglqw 608 7 |
+-------------------------------------------+
- For all 100 users: - Mean +/- standard deviation: 12.7 +/- 14.6
- Median (interquartile range): 8 (2 - 18)
For each users (see details in below table). In median(interquartile range): the top 5 (just for last 17 weeks) are: - LoyceV: 46 (24 - 57)
- fillippone: 45 (32 - 64)
- o_e_l_e_o: 44 (34 - 58)
- nutildah: 39 (25 - 44)
- suchmoon: 36 (21 - 47)
There is no outliers found in the top 5. It means their weekly earned merits are very very stable.  For all top 100 merited users:. tabstat meritchange , s(n mean sd p50 p25 p75 min max)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
meritchange | 1700 12.71118 14.58819 8 2 18 0 113
----------------------------------------------------------------------------------------------
. tabstat meritchange , s(n mean sd p50 p25 p75 min max) by(group)
Summary for variables: meritchange
by categories of: group
group | N mean sd p50 p25 p75 min max
-------+--------------------------------------------------------------------------------
1-25 | 425 18.39529 17.94052 12 4 28 0 100
26-50 | 425 12.72706 14.26884 9 2 19 0 113
51-75 | 425 9.242353 10.89184 7 2 13 0 81
76-100 | 425 10.48 12.61888 7 3 13 0 112
-------+--------------------------------------------------------------------------------
Total | 1700 12.71118 14.58819 8 2 18 0 113
----------------------------------------------------------------------------------------
. tabstat meritchange , s(n mean sd p50 p25 p75 min max) by(username)
Summary for variables: meritchange
by categories of: username (username)
username | N mean sd p50 p25 p75 min max
-----------------+--------------------------------------------------------------------------------
1miau | 17 24.17647 23.19546 17 11 29 4 100
Alex_Sr | 17 5.117647 5.266431 5 0 8 0 18
Artemis3 | 17 7.117647 5.383799 6 3 10 0 19
BitCryptex | 17 16 8.9861 16 8 21 3 30
BobLawblaw | 17 6.058824 6.795868 4 2 9 0 27
Carlton Banks | 17 15.64706 12.89351 12 9 17 7 60
Coding Enthusias | 17 12.05882 11.73388 8 5 14 0 45
Coin-1 | 17 7.882353 5.925394 7 4 10 0 23
Coolcryptovator | 17 7.058824 6.397955 7 2 11 0 25
CryptopreneurBra | 17 17.29412 16.76218 14 10 15 5 79
DarkStar_ | 17 12.58824 11.28084 10 5 16 2 45
DdmrDdmr | 17 30.11765 16.69162 28 18 36 5 67
DireWolfM14 | 17 11.64706 11.07329 8 5 14 0 43
ETFbitcoin | 17 14.64706 11.17442 12 8 18 1 47
Flying Hellfish | 17 5.529412 9.063096 1 0 5 0 26
Goran_ | 17 8.764706 5.154239 9 6 10 0 21
HCP | 17 12.52941 7.673963 10 7 18 1 26
HairyMaclairy | 17 14.41176 8.732546 12 9 16 3 42
HeRetiK | 17 4.235294 4.815722 3 2 5 0 20
Hhampuz | 17 5.823529 9.050106 3 1 6 0 36
Husna QA | 17 5.117647 4.567307 4 2 5 0 19
ICOEthics | 17 1.470588 2.426872 1 0 1 0 8
JayJuanGee | 17 15.76471 12.04953 13 11 20 3 57
Jet Cash | 17 6.529412 4.273723 6 3 9 1 16
LFC_Bitcoin | 17 23.52941 9.448 22 17 27 10 48
Lafu | 17 7.352941 5.578319 6 3 10 1 19
Last of the V8s | 17 9.294118 11.04403 4 0 17 0 30
Lauda | 17 3.764706 4.366483 1 0 7 0 14
LeGaulois | 17 4.235294 4.265112 4 2 5 0 18
LoyceV | 17 41.41176 18.33732 46 24 57 16 70
Lutpin | 17 2.235294 2.795743 1 0 5 0 7
OgNasty | 17 2.117647 1.833111 2 1 3 0 7
PHI16168 | 17 3.117647 5.266431 1 0 3 0 17
Piggy | 17 2.117647 2.368606 1 0 4 0 7
Pmalek | 17 6.470588 5.026401 5 3 11 0 17
Quickseller | 17 5.294118 5.76373 5 0 8 0 18
SaltySpitoon | 17 8.764706 8.219865 5 2 14 0 27
Steamtyme | 17 10.29412 8.680184 7 4 12 2 31
TMAN | 17 1.529412 1.841115 1 0 2 0 6
The Pharmacist | 17 9.294118 7.679231 8 5 10 0 29
TheFuzzStone | 17 12.52941 11.83806 11 7 14 0 53
TheNewAnon135246 | 17 4.411765 4.108814 3 2 7 0 15
Toxic2040 | 17 7.411765 10.64811 2 0 11 0 36
TryNinja | 17 15.05882 9.303699 14 9 21 0 32
VB1001 | 17 26.05882 12.77434 25 17 35 5 54
Veleor | 17 23.11765 22.17792 21 10 24 2 81
Vod | 17 3.235294 3.976956 2 1 4 0 14
Xal0lex | 17 11.29412 9.149896 8 6 11 2 37
abhiseshakana | 17 10.05882 6.259698 8 5 16 0 20
achow101 | 17 19.58824 12.65928 17 10 29 1 50
actmyame | 17 11.70588 8.998366 10 6 17 0 32
asche | 17 7.529412 7.391868 6 3 9 1 33
bitmover | 17 19.41176 14.11143 19 13 21 4 68
bob123 | 17 28.88235 13.6193 25 21 39 10 56
bones261 | 17 6.764706 7.758297 5 1 8 0 27
chimk | 17 11.52941 6.587086 11 6 13 5 30
coinlocket$ | 17 3.470588 6.175735 2 0 3 0 25
fillippone | 17 50.70588 23.56047 45 32 64 23 113
gentlemand | 17 17.35294 7.35647 15 12 23 7 31
gmaxwell | 17 9.117647 11.1685 3 1 13 0 35
hilariousandco | 17 4.058824 5.213811 2 1 4 0 18
hilariousetc | 17 7.411765 9.759987 3 1 10 0 30
iasenko | 17 11.35294 11.97362 5 2 20 0 40
infofront | 17 7.882353 18.04121 2 0 5 0 72
jojo69 | 17 6.941176 4.588989 5 4 9 1 18
joniboni | 17 5.176471 4.90198 5 1 9 0 17
kenzawak | 17 4.117647 7.175325 1 0 7 0 23
krogothmanhattan | 17 7.823529 7.239089 5 3 9 0 28
loyvesmayfamilis | 17 20.47059 16.76722 22 4 31 0 49
marlboroza | 17 13.29412 13.65542 7 5 15 0 48
micgoossens | 17 32.35294 13.62416 31 23 38 16 62
mikeywith | 17 23.70588 10.1536 27 17 29 8 45
minerjones | 17 10.88235 6.688445 12 5 15 1 23
mjglqw | 17 10.47059 7.408759 11 4 15 0 24
mocacino | 17 9.823529 7.59305 7 5 15 0 28
mole0815 | 17 6.117647 9.089021 2 1 6 0 34
morillz7z | 17 18.17647 9.951352 15 14 23 4 39
mu_enrico | 17 8.941176 5.355728 7 5 15 1 17
nullius | 17 .3529412 .7859052 0 0 0 0 3
nutildah | 17 36.29412 15.98345 39 25 44 4 66
o_e_l_e_o | 17 45.94118 16.69008 47 34 58 17 82
pandukelana2712 | 17 5.588235 6.605479 4 1 7 0 25
philipma1957 | 17 9.647059 6.051252 8 7 12 3 26
pooya87 | 17 15.23529 6.046997 12 11 19 7 28
qwk | 17 2.941176 2.967966 2 1 2 0 10
roycilik | 17 6.352941 9.803961 2 1 5 0 35
satoshi | 17 12.58824 19.80549 2 1 17 0 71
stompix | 17 7.705882 6.059751 6 2 12 1 20
suchmoon | 17 36.64706 19.30007 36 21 47 10 84
taikuri13 | 17 16.41176 7.7947 17 10 21 8 34
theymos | 17 24.23529 20.93899 20 9 30 1 90
theyoungmilliona | 17 3.235294 5.772017 0 0 3 0 18
tranthidung | 17 22.88235 23.85865 13 12 30 5 104
tvplus006 | 17 14.52941 11.24232 11 7 23 0 37
witcher_sense | 17 24.76471 17.0936 21 13 33 3 61
wwzsocki | 17 20.11765 19.71637 14 4 24 0 78
xhomerx10 | 17 10.29412 9.115678 8 5 11 0 36
xtraelv | 17 10.47059 10.14346 8 2 17 0 32
yahoo62278 | 17 17.29412 25.71421 10 6 16 0 112
yogg | 17 10.94118 8.21181 9 4 17 0 27
-----------------+--------------------------------------------------------------------------------
Total | 1700 12.71118 14.58819 8 2 18 0 113
--------------------------------------------------------------------------------------------------
Box plots:For all top 100 merited users: For 4 groups of top 100 merited users: Over each users (outliers displayed with red circles):
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