Some changes- Data*: From now on, there is only data for banned users. Due to changes from loyce.club update.
- Stats for autobanned/ nuked are excluded since this week update.
- Thread title: change to fit newest version of data
I do have old versions here, but the new version is just banned.txt: both Nuked and Autobanned accounts combined.
Update 2020w27, 10jul2020 02:49:07 (GMT time)* last 3 days belong to 2020w28.For all users:- Number of users who only earned at least 1 merit: 19886
- Number of users who only sent at least 1 merit: 7378
- Number of users who earned AND sent at least 1 merit: 14923
- Number of users who earned OR sent at least 1 merit: 42187
- Total banned users: 207677 *
- Total earned merits (for all): 623491
- Total sent merits (for all): 664319
For legit users only:- Total legit users: 12381
- Total earned merits: 588027
- Total sent merits: 636144
A summary table (for legit users only) | | | | | Earned merits | | | | | | Sent merits | | | | Groups | | | Freq. | Percent | Total earned | Percent | | | Freq. | Percent | Total sent | Percent | | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ | | 1-10 | | | 7593 | 61.3 | 35422 | 6.0 | | | 8763 | 70.8 | 30753 | 4.8 | | 11-100 | | | 3791 | 30.6 | 113572 | 19.3 | | | 2814 | 22.7 | 95341 | 15.0 | | 101-250 | | | 519 | 4.2 | 80031 | 13.6 | | | 473 | 3.8 | 73313 | 11.5 | | 251-500 | | | 221 | 1.8 | 74906 | 12.7 | | | 176 | 1.4 | 61508 | 9.7 | | 501-1000 | | | 158 | 1.3 | 113008 | 19.2 | | | 75 | 0.6 | 50632 | 8.0 | | 1001+ | | | 99 | 0.8 | 171088 | 29.1 | | | 80 | 0.7 | 324597 | 51.0 | | Total | | | 12381 | 100 | 588027 | 100 | | | 12381 | 100 | 636144 | 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 | 7378 | 17.5 | | Earned only | 19886 | 47.1 | | Both | 14923 | 35.4 | | Total | 42187 | 100 | | _________________________ | ______________ | ______________ | | Account status (for legit only) | | | | _________________________ | ______________ | ______________ | | Legit | 12381 | 83.0 | | Banned | 2542 | 17.0 | | Total | 14923 | 100 | | _________________________ | ______________ | ______________ |
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Congratz! Well deserved for sure, I remember the first time you joined one of my campaigns as a.. Sr. Member I believe? Been quite the journey for you and I've always appreciated all the stats you've presented when it comes to campaigns and otherwise. Keep up the good work  Thank you, Hhampuz. It is always my honor to work with you. Haha. It is a very long time ago and your memory is not correct. I joined first campaign under your management a few days after when I had my avatar, so my rank was Full member. Stay safe and keep up your good management works as well
Congratulations tranthidung! Today was my day too. I'm glad we did it together  Continue with your good and very often also very informative work here. Thanks and congratulations mole0815 as well!
I always find them interesting, though I'm not someone who's got a hard-on for statistics. Either way, it takes effort to produce the statistical analysis and that ought to be rewarded.
I had been a fan of your stats. Although I did not add take participate in discussion there, I liked them a lot.
Keep up the good work and the nice statistics on a few of your threads , sometimes nice to see them!
Congrats and I’m sure I’m not the only one who likes your “boring” statistics threads ! I’ve enjoyed looking at all of your threads on the forum - please keep up the good work . Top poster Just a short message. " Keep up always the good stats".
Thank you all for your support because it is good to know my analyses (or only some of them) are not terrible and boring like I imagined.
Once again, thank you for all your words that help me feel better and superb happy. Stay safe and good luck, I love you all bitcointalkers.
P/S: There is no merit spree here for bad posters, straightfully said.  |
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Given your answer, why then don't the VND market makers at those exchanges create liquidity at Bisq exchange?
It is decentralized and non-custodial, and has been available for years.
I don't trade on Bisq (actually I heard of it) and after reading your post, I visit the website and found that Bisq is for app trading only (please correct me if I am wrong at this point). Bisq will be great if people can trade it directly on web brower, and if Tor is allowed it will be more convenient for guys who take care of privacy. Personally, I don't like to trade on an exchange that does not provide trading on web browser. In the past, I used to trade on Crypto Bridge exchange which is a cool one but eventually their team did an awful scam exit. About BisqThere are good points: - No Identity Verification: (I am not sure how long will it last). Many exchanges claim to be non-KYC but gradually they force users to do KYC.
- Decentralized: It is a good feature for tech gurus only.
Likely not good points: - Decentralized: It is inconvenient for non-tech guys who don't know how to setup and operate Bisq on their devices.
- Mandatory installation of Bisq's app: I don't like it and I would prefer to use platforms that are available for web browsers as well as try to trade on applications and mobile devices.
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Which decentralized, non-custodial exchanges are used by Vietnamese to trade BTC<>VND online?
There is no decentralized and non-custodial exchanges to directly trade BTC to VND, as far as I know of. It is already difficult to find truly decentralized exchanges so that having one at least to trade BTC to local fiat is zero. Fortunately, there are some exchanges (or also called as P2P - peer-to-peer marketplaces) that you can check and use after your investigations. *: See All in all, they are not decentralized and not non-custodial so that you can not have full control of your Bitcoin wallets and your funds. Your funds are on the hands of exchange/ marketplace owners and this is a big risks. They can scam you or whatever to steal your funds. BTW, it is wisely to avoid storing your funds in BTC or whatever crypto on exchanges or marketplaces. What you should do to be your own bank and to be safe is: - Storing your funds in non-custodial wallets, back it up in multiple places, under multiple formats. Testing your backups to make sure you back it up completely correct, without typos.
- Only send your funds to exchanges/ markeplaces to cash out and withdraw as instantly as possible.
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I advise him to read following threads in order to better express his ideas Topic title, idea organization, topic sentence are very important to attract readers. Good grammartical and vocabulary usages help to represent what writers want to express. |
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Intra-week merits (from 24/1/2018 to 07/7/2020)Last 3 days dropped due to incomplete week (2020w28) and an incomplete day (dayid = 899)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 |
|-----------------|
126. | 4366 2020w25 |
127. | 4474 2020w26 |
128. | 4630 2020w27 |
+-----------------+
- 50% of observed weeks ( 128 weeks) have total intra-week merits above 4656, whilst the rest 50% of them have total intra-week merits below 4656. 4656 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4254 to 5600 (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 | 128.0 5497.3 3215.4 4656.0 4253.5 5599.5 3186.0 27920.0
----------------------------------------------------------------------------------------------
. di 5599.5-4253.5
1346
. di 1346*1.5
2019
. di 5599.5+2019
7618.5
. di 4253.5-2019
2234.5
It means that potential outliers are weeks that have intra-week merits beyond 2235 or 7619. How many weeks are potential outliers? . count if (merit >= 7619 | merit < 2235) & 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 4630 merits) stays at the 66th position, among 128 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 4630 2020w27 |
67. | 67 4629 2019w25 |
68. | 68 4622 2020w10 |
69. | 69 4606 2018w47 |
70. | 70 4597 2019w23 |
|------------------------------|
71. | 71 4584 2019w1 |
72. | 72 4582 2019w4 |
73. | 73 4574 2018w25 |
74. | 74 4539 2020w17 |
75. | 75 4508 2018w39 |
|------------------------------|
76. | 76 4505 2019w6 |
77. | 77 4474 2020w26 |
78. | 78 4473 2018w23 |
79. | 79 4462 2019w28 |
80. | 80 4449 2018w16 |
|------------------------------|
81. | 81 4431 2018w20 |
82. | 82 4424 2018w42 |
83. | 83 4408 2019w5 |
84. | 84 4386 2018w43 |
85. | 85 4382 2019w38 |
|------------------------------|
86. | 86 4377 2019w30 |
87. | 87 4367 2018w27 |
88. | 88 4366 2020w25 |
89. | 89 4348 2019w39 |
90. | 90 4342 2019w22 |
|------------------------------|
91. | 91 4325 2018w40 |
92. | 92 4314 2019w8 |
93. | 93 4295 2019w11 |
94. | 94 4277 2018w29 |
95. | 95 4260 2019w17 |
|------------------------------|
96. | 96 4259 2019w7 |
97. | 97 4248 2018w22 |
98. | 98 4209 2019w40 |
99. | 99 4199 2018w32 |
100. | 100 4190 2020w24 |
|------------------------------|
101. | 101 4175 2018w45 |
102. | 102 4109 2018w28 |
103. | 103 4047 2018w46 |
104. | 104 4005 2019w37 |
105. | 105 4005 2019w29 |
|------------------------------|
106. | 106 3981 2018w41 |
107. | 107 3965 2019w33 |
108. | 108 3953 2018w24 |
109. | 109 3903 2018w21 |
110. | 110 3882 2019w27 |
|------------------------------|
111. | 111 3811 2019w34 |
112. | 112 3809 2018w30 |
113. | 113 3791 2018w48 |
114. | 114 3767 2018w33 |
115. | 115 3763 2018w34 |
|------------------------------|
116. | 116 3689 2018w50 |
117. | 117 3687 2018w52 |
118. | 118 3683 2019w36 |
119. | 119 3615 2018w51 |
120. | 120 3603 2019w31 |
|------------------------------|
121. | 121 3596 2018w49 |
122. | 122 3586 2018w37 |
123. | 123 3579 2019w35 |
124. | 124 3536 2018w36 |
125. | 125 3489 2018w31 |
|------------------------------|
126. | 126 3346 2019w32 |
127. | 127 3321 2018w44 |
128. | 128 3186 2018w35 |
+------------------------------+
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Medians and means of intra-day merits over days of weeks GMT timeColors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Thursday , Tuesday , and Friday at 706, 705, and 703, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 615, 627, and 662, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 897, 845, and 805, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 693, 704, and 777, respectively. Basic statistics:Summary for variables: merit
by categories of: dofw
dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
Sunday | 128.0 692.8 346.4 627.0 504.0 740.0 300.0 3240.0
Monday | 128.0 776.4 422.3 662.0 579.0 854.5 370.0 3343.0
Tuesday | 128.0 804.3 460.7 704.5 595.5 849.0 339.0 3826.0
Wednesday | 128.0 778.6 420.0 697.0 605.0 828.0 347.0 4103.0
Thursday | 128.0 896.8 1163.9 706.0 586.5 841.0 411.0 12676.0
Friday | 128.0 844.6 724.9 703.0 574.0 829.5 373.0 6348.0
Saturday | 128.0 703.9 449.4 614.5 509.0 741.5 375.0 4627.0
----------+--------------------------------------------------------------------------------
Total | 896.0 785.3 630.4 672.5 564.0 812.5 300.0 12676.0
-------------------------------------------------------------------------------------------
Outliers non-displayed. Details on ranks:In medians +--------------------------------------------------------------------------+
| rankmedian dofw median mean p25 p75 min max |
|--------------------------------------------------------------------------|
1. | 1 Thursday 706 896.7891 586.5 841 411 12676 |
2. | 2 Tuesday 704.5 804.3281 595.5 849 339 3826 |
3. | 3 Friday 703 844.5625 574 829.5 373 6348 |
4. | 4 Wednesday 697 778.5703 605 828 347 4103 |
5. | 5 Monday 662 776.3594 579 854.5 370 3343 |
|--------------------------------------------------------------------------|
6. | 6 Sunday 627 692.8125 504 740 300 3240 |
7. | 7 Saturday 614.5 703.875 509 741.5 375 4627 |
+--------------------------------------------------------------------------+
In means +------------------------------------------------------------------------+
| rankmean dofw mean median p25 p75 min max |
|------------------------------------------------------------------------|
1. | 1 Thursday 896.7891 706 586.5 841 411 12676 |
2. | 2 Friday 844.5625 703 574 829.5 373 6348 |
3. | 3 Tuesday 804.3281 704.5 595.5 849 339 3826 |
4. | 4 Wednesday 778.5703 697 605 828 347 4103 |
5. | 5 Monday 776.3594 662 579 854.5 370 3343 |
|------------------------------------------------------------------------|
6. | 6 Saturday 703.875 614.5 509 741.5 375 4627 |
7. | 7 Sunday 692.8125 627 504 740 300 3240 |
+------------------------------------------------------------------------+
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During the period from 24/1/2018 to 23/6/2020 (last 3 days dropped due to incomplete week, 2020w28 and an incomplete day - dayid = 899), 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. | 13 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 |
14. | 14 378 566 12aug2019 Monday 2019w32 2019m8 2019 |
15. | 15 378 305 24nov2018 Saturday 2018w47 2018m11 2018 |
|-----------------------------------------------------------------------------|
16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 |
17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 |
18. | 18 385 327 16dec2018 Sunday 2018w50 2018m12 2018 |
19. | 19 385 215 26aug2018 Sunday 2018w34 2018m8 2018 |
20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 |
|-----------------------------------------------------------------------------|
21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 |
22. | 22 395 872 13jun2020 Saturday 2020w24 2020m6 2020 |
23. | 23 399 593 08sep2019 Sunday 2019w36 2019m9 2019 |
24. | 24 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 |
25. | 25 401 557 03aug2019 Saturday 2019w31 2019m8 2019 |
|-----------------------------------------------------------------------------|
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 |
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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. | 45 439 880 21jun2020 Sunday 2020w25 2020m6 2020 |
|-----------------------------------------------------------------------------|
46. | 46 440 559 05aug2019 Monday 2019w31 2019m8 2019 |
47. | 47 440 585 31aug2019 Saturday 2019w35 2019m8 2019 |
48. | 48 440 265 15oct2018 Monday 2018w42 2018m10 2018 |
49. | 49 441 319 08dec2018 Saturday 2018w49 2018m12 2018 |
50. | 50 441 404 03mar2019 Sunday 2019w9 2019m3 2019 |
+-----------------------------------------------------------------------------+
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Time-series plots:Full dataset:Truncated dataset:
Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w27 (daydi = 897, 898), the incomplete week & incomlete day (dayid = 899). variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 896 785.3281 630.4374 672.5 564 812.5 300 12676
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 192 or 1186. . di 812.5-564
248.5
. di 248.5*1.5
372.75
. di 812.5+372.75
1185.25
. di 564-372.75
191.25
There are 61 outliers (beyond 1186 or 192) in full dataset, in total. . count if (merit >= 1186 | merit <= 192) & merit != .
61
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 |
70. | 70 1186 03apr2018 |
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 |
|---------------------------|
726. | 726 1192 19jan2020 |
755. | 755 1364 17feb2020 |
756. | 756 1195 18feb2020 |
845. | 845 1198 17may2020 |
+---------------------------+
- 2018: 43 (70.5%)
- 2019: 14 (23.0%)
- 2020: 4 (6.5%)
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Minutes ago, I was ranked up to Legendary that is what I expected for many weeks. Finally, I luckily got it and did not have to wait till my 1000 activities. Since today, I am a self-made Legendary Member. What I have done on the forum over boards: Above is a tip for you to filter your threads over boards (if you are productively make many threads over different boards).For thread in Meta board (change user = youruserid), change 24 to the board you want)
https://bitcointalk.org/gettopics.php?user=1292764&board=24.0
Ignore all my 'boring' threads on statistics, I list some threads on forum-releated things for you. |
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think that Atalanta could kick-out PSG, especially since they will play last round 10 days before PSG match, so will be on fire and fresh for PSG, and PSG had played last match in March, their form is certainly questionable at the moment
not an Atalanta fan, but they play great football this year, and would like to see them higher in CL, why not on the top if possible
Atalanta has their very fantastic adventure in Champions League. It is more impressive if we look back that how they began the season, with 3 defeats in a row but eventually they came back and go to the 1/16 round. Then, they knocked out the Valencia with 8 goals scored in total. The match between Atalanta and PSG is somewhat balance. PSG has bad history in Champions League and Atalanta don't have reasons to get feared when fighting against PSG. Atalanta, with their excellent forms in latest matches after pandemic lockdown, and their attacking record is so amazing too. In Europe, only Bayern Munich has scored more goals than Atalanta so far. I don't feel surprise if PSG will be knocked out again. |
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Our provably fair method has been updated to now prove the probabilities of bomb/coin placement. Give it a try. Would love to hear any thoughts. Congratulations for the important upgrade to make your casino looks better and more attractive to gamblers who always like provably fair casinos. Right now 2FA is not available, but eventually it will likely be an option.
How about 2FA for your users? In crypto (exchanges, casinos, marketplaces) it is odds to don't provide 2FA. Furthermore, to avoid any occasionally sudden annoying troubles with SMS code for 2FA, you should allow users have 2 options to set up their 2FA method: |
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I got rid of them after I asked this question a few weeks back: Maybe I should forget about the separate list for Nuked accounts. Is anyone using that list?
My bad. I did not see your question.  I use such data for my 2 threads: I do have old versions here, but the new version is just banned.txt: both Nuked and Autobanned accounts combined. I see it on your club. What if from now on dumping data on one page only but having one more variable (as the last column) for reason of account restrictions - Autobanned / nuked? - Autobanned: will be coded with reason = 1
- Nuked: will be coded with reason = 0
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