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Loyce, could you save the seclog data in .txt format as same as what you usually do with merit and btc blockchain data?
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I have some collective things for Vietnamese Bitcoin enthusiasts: The latest BTM, and the first one in Tan Binh district, at the location is very close to the Tan Son Nhat internation airport. Some might have seen it already, but we haven't been lazy during the lockdown and worked to obtain another location right next to Ho-Chi-Minh-City's Tan Son Nhat Airport  |
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The solution is import data directly from the loyce club to your computer, then save it in the format you plan to use. According to seclog page, there are less than 600 users per day over the last year so it is less than median of merit transactions. If you guys can play with merit data, you can play with this one too.
Thanks for another data but honestly once again you 'ruin' my life with data, LoyceV.  Usecase: find strange thing if we see spike. Maybe a new spam campaign or bounty is launched and force spammers to wake up their accounts. Last year, we had some spike relates to Yobit. However, statistics should be connected to user ranks to have better data interpretation. - Woke-up users are high ranked: likely a new spam campaign/ bounty.
- Woke-up users are mostly newbies: a new bump service (that is killed by the bump score) or someone try to harm the forum with spam/attack.
You guys on the forum will fastly report such phenomenon but it is better if we can judge something from data-based results. And on this perspective, the data type is helpful. |
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As you all have mentioned, there was some increase in transaction fees on FortuneJack and not only. It was long discussed in this thread as well, that increase was absolutely not something we intended to benefit on, this was caused by issues attached to halving as Cointelegraph reported .
Additionally, fees tend to be low in weekends because mempool tends to be cleared in weekends. People should build their own plans and stick with making transactions in weekends to safe fees. Only if they don't have things in hurry. I will look at data and see what I can do with transaction fees. I already have ideas to start something for Bitcoin enthusiasts. However, we understand concerns and complaints from the community, and have decided to waive the fee for all BTC transactions at FJ. From now on, the casino will cover all BTC transaction fees concerning deposits and withdrawals made on our website.
I much appreciated your generosity and this response will do help users who don't have much money in their balances. This response shows that Fortune Jack is opened for community ideas, discussions and you all care about customers. Your generosity will be awarded with more new players and many good things will come to the company. Stay safe, FJ and everyone. |
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Is this time to back to this plan for more effective communication between the Bitcoin Video Casino with user community? BitcoinVideoCasino.com is Hiring a Community Manager!The casino is one of the oldest ones on the forum (with nearly 6.5 years old), and despite some changes over its history, its reputation is good. I think you should think of a community manager. It is especially helpful for your casino in the pandemic period, when people spend more time to be online and/ or gamble. It is a great chance for casinos to attract new users. |
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ABSTRACT 2020w19, GMT timeData is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w20 and an incomplete day (dayid = 843). Details on days dropped, please see above posts.
Intra-day merits:- Total observed days: 840
- Potential outliers are days that have intraday total merits beyond 167 or 1219
- Median of intraday merits over the period is 671
- 50% of observed days have their intra-day merits range from 561 to 824 (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 55 potential outliers (beyond 167 or 1219) in total.
- The distribution of outliers over years are: 41 (74.6%) for 2018, 13 (23.6%) for 2019, and 1 (1.8%) for 2020. (see details)
- Minimum and maximum of intraday merits (full dataset) are 300, and 12676, on 04/8/2019 and 25/1/2018, respectively.
Intra-week merits:- Total observed weeks: 120
- The median of intra-week merits is 4661
- 50% of observed weeks (120 weeks in total), have total merits in the range from 4229 to 5626 (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 2133 or 7721], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397); none of them occured in 2020.
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Intra-week merits (from 24/1/2018 to 12/5/2020)Last 3 days dropped due to incomplete week (2020w20) and an incomplete day (dayid = 843)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 |
+-----------------+
- 50% of observed weeks ( 120 weeks) have total intra-week merits above 4661, whilst the rest 50% of them have total intra-week merits below 4661. 4661 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4229 to 5626 (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 | 120.0 5546.0 3313.4 4661.0 4228.5 5625.5 3186.0 27920.0
----------------------------------------------------------------------------------------------
. di 5625.5-4228.5
1397
. di 1397*1.5
2095.5
. di 5625.5+2095.5
7721
. di 4228.5-2095.5
2133
It means that potential outliers are weeks that have intra-week merits beyond 2133 or 7721. How many weeks are potential outliers? . count if (merit >= 7721 | merit < 2133) & 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 5648 merits) stays at the 30th position, among 120weeks. +------------------------------+
| weeklyrank merit week |
|------------------------------|
1. | 1 27920 2018w4 |
2. | 2 20930 2018w5 |
3. | 3 20397 2019w47 |
4. | 4 14042 2018w6 |
5. | 5 11901 2018w7 |
|------------------------------|
6. | 6 11070 2019w46 |
7. | 7 9587 2018w38 |
8. | 8 9005 2018w9 |
9. | 9 8879 2018w8 |
10. | 10 7340 2018w11 |
|------------------------------|
11. | 11 7247 2020w3 |
12. | 12 7178 2018w10 |
13. | 13 7138 2018w12 |
14. | 14 7058 2019w52 |
15. | 15 6923 2020w7 |
|------------------------------|
16. | 16 6756 2020w5 |
17. | 17 6646 2020w4 |
18. | 18 6542 2018w14 |
19. | 19 6392 2018w13 |
20. | 20 6314 2020w8 |
|------------------------------|
21. | 21 6271 2019w48 |
22. | 22 6102 2019w2 |
23. | 23 6066 2019w51 |
24. | 24 6061 2020w14 |
25. | 25 5946 2018w15 |
|------------------------------|
26. | 26 5776 2019w3 |
27. | 27 5745 2020w1 |
28. | 28 5728 2019w13 |
29. | 29 5699 2020w18 |
30. | 30 5648 2020w19 |
|------------------------------|
31. | 31 5603 2020w12 |
32. | 32 5596 2019w20 |
33. | 33 5573 2020w6 |
34. | 34 5395 2020w2 |
35. | 35 5392 2020w13 |
|------------------------------|
36. | 36 5375 2019w43 |
37. | 37 5373 2019w24 |
38. | 38 5253 2019w15 |
39. | 39 5237 2020w9 |
40. | 40 5160 2019w42 |
|------------------------------|
41. | 41 5109 2020w11 |
42. | 42 5094 2020w15 |
43. | 43 5052 2020w16 |
44. | 44 5043 2018w18 |
45. | 45 5002 2019w19 |
|------------------------------|
46. | 46 4979 2019w10 |
47. | 47 4880 2019w16 |
48. | 48 4832 2019w50 |
49. | 49 4820 2018w17 |
50. | 50 4817 2019w18 |
|------------------------------|
51. | 51 4816 2019w44 |
52. | 52 4753 2019w45 |
53. | 53 4726 2019w9 |
54. | 54 4701 2019w41 |
55. | 55 4695 2019w14 |
|------------------------------|
56. | 56 4693 2019w21 |
57. | 57 4690 2019w12 |
58. | 58 4685 2018w19 |
59. | 59 4684 2018w26 |
60. | 60 4672 2019w26 |
|------------------------------|
61. | 61 4650 2019w49 |
62. | 62 4629 2019w25 |
63. | 63 4622 2020w10 |
64. | 64 4606 2018w47 |
65. | 65 4597 2019w23 |
|------------------------------|
66. | 66 4584 2019w1 |
67. | 67 4582 2019w4 |
68. | 68 4574 2018w25 |
69. | 69 4539 2020w17 |
70. | 70 4508 2018w39 |
|------------------------------|
71. | 71 4505 2019w6 |
72. | 72 4473 2018w23 |
73. | 73 4462 2019w28 |
74. | 74 4449 2018w16 |
75. | 75 4431 2018w20 |
|------------------------------|
76. | 76 4424 2018w42 |
77. | 77 4408 2019w5 |
78. | 78 4386 2018w43 |
79. | 79 4382 2019w38 |
80. | 80 4377 2019w30 |
|------------------------------|
81. | 81 4367 2018w27 |
82. | 82 4348 2019w39 |
83. | 83 4342 2019w22 |
84. | 84 4325 2018w40 |
85. | 85 4314 2019w8 |
|------------------------------|
86. | 86 4295 2019w11 |
87. | 87 4277 2018w29 |
88. | 88 4260 2019w17 |
89. | 89 4259 2019w7 |
90. | 90 4248 2018w22 |
|------------------------------|
91. | 91 4209 2019w40 |
92. | 92 4199 2018w32 |
93. | 93 4175 2018w45 |
94. | 94 4109 2018w28 |
95. | 95 4047 2018w46 |
|------------------------------|
96. | 96 4005 2019w37 |
97. | 97 4005 2019w29 |
98. | 98 3981 2018w41 |
99. | 99 3965 2019w33 |
100. | 100 3953 2018w24 |
|------------------------------|
101. | 101 3903 2018w21 |
102. | 102 3882 2019w27 |
103. | 103 3811 2019w34 |
104. | 104 3809 2018w30 |
105. | 105 3791 2018w48 |
|------------------------------|
106. | 106 3767 2018w33 |
107. | 107 3763 2018w34 |
108. | 108 3689 2018w50 |
109. | 109 3687 2018w52 |
110. | 110 3683 2019w36 |
|------------------------------|
111. | 111 3615 2018w51 |
112. | 112 3603 2019w31 |
113. | 113 3596 2018w49 |
114. | 114 3586 2018w37 |
115. | 115 3579 2019w35 |
|------------------------------|
116. | 116 3536 2018w36 |
117. | 117 3489 2018w31 |
118. | 118 3346 2019w32 |
119. | 119 3321 2018w44 |
120. | 120 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 , Friday, and Tuesday at 709, 706, and 705, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 615, 630, and 661, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 911, 854, and 811, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 695, 710, and 780, respectively. Basic statistics:Summary for variables: merit
by categories of: dofw
dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
Sunday | 120.0 694.7 353.3 629.5 503.0 743.0 300.0 3240.0
Monday | 120.0 780.2 435.1 660.5 564.5 867.5 370.0 3343.0
Tuesday | 120.0 810.7 474.6 704.5 594.5 871.0 339.0 3826.0
Wednesday | 120.0 785.9 432.2 685.5 605.0 836.5 347.0 4103.0
Thursday | 120.0 911.0 1200.6 709.0 587.0 848.5 411.0 12676.0
Friday | 120.0 853.8 747.8 705.5 566.5 847.5 373.0 6348.0
Saturday | 120.0 709.8 462.5 614.5 509.0 741.5 375.0 4627.0
----------+--------------------------------------------------------------------------------
Total | 840.0 792.3 649.7 670.5 561.0 824.0 300.0 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 709 910.975 587 848.5 411 12676 |
2. | 2 Friday 705.5 853.8167 566.5 847.5 373 6348 |
3. | 3 Tuesday 704.5 810.6583 594.5 871 339 3826 |
4. | 4 Wednesday 685.5 785.9 605 836.5 347 4103 |
5. | 5 Monday 660.5 780.2167 564.5 867.5 370 3343 |
|--------------------------------------------------------------------------|
6. | 6 Sunday 629.5 694.6583 503 743 300 3240 |
7. | 7 Saturday 614.5 709.775 509 741.5 375 4627 |
+--------------------------------------------------------------------------+
In means +------------------------------------------------------------------------+
| rankmean dofw mean median p25 p75 min max |
|------------------------------------------------------------------------|
1. | 1 Thursday 910.975 709 587 848.5 411 12676 |
2. | 2 Friday 853.8167 705.5 566.5 847.5 373 6348 |
3. | 3 Tuesday 810.6583 704.5 594.5 871 339 3826 |
4. | 4 Wednesday 785.9 685.5 605 836.5 347 4103 |
5. | 5 Monday 780.2167 660.5 564.5 867.5 370 3343 |
|------------------------------------------------------------------------|
6. | 6 Saturday 709.775 614.5 509 741.5 375 4627 |
7. | 7 Sunday 694.6583 629.5 503 743 300 3240 |
+------------------------------------------------------------------------+
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During the period from 24/1/2018 to 12/5/2020 (last 3 days dropped due to incomplete week, 2020w20 and an incomplete day - dayid = 843), 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. | 18 385 327 16dec2018 Sunday 2018w50 2018m12 2018 |
19. | 19 385 215 26aug2018 Sunday 2018w34 2018m8 2018 |
20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 |
|-----------------------------------------------------------------------------|
21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 |
22. | 22 399 593 08sep2019 Sunday 2019w36 2019m9 2019 |
23. | 23 401 557 03aug2019 Saturday 2019w31 2019m8 2019 |
24. | 24 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 |
25. | 25 402 263 13oct2018 Saturday 2018w41 2018m10 2018 |
|-----------------------------------------------------------------------------|
26. | 26 404 229 09sep2018 Sunday 2018w36 2018m9 2018 |
27. | 27 406 277 27oct2018 Saturday 2018w43 2018m10 2018 |
28. | 28 408 530 07jul2019 Sunday 2019w27 2019m7 2019 |
29. | 29 409 123 26may2018 Saturday 2018w21 2018m5 2018 |
30. | 30 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 |
|-----------------------------------------------------------------------------|
31. | 31 410 279 29oct2018 Monday 2018w44 2018m10 2018 |
32. | 32 411 578 24aug2019 Saturday 2019w34 2019m8 2019 |
33. | 33 411 569 15aug2019 Thursday 2019w33 2019m8 2019 |
34. | 34 414 528 05jul2019 Friday 2019w27 2019m7 2019 |
35. | 35 421 193 04aug2018 Saturday 2018w31 2018m8 2018 |
|-----------------------------------------------------------------------------|
36. | 36 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 |
37. | 37 426 230 10sep2018 Monday 2018w37 2018m9 2018 |
38. | 38 426 346 04jan2019 Friday 2019w1 2019m1 2019 |
39. | 39 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 |
40. | 40 430 207 18aug2018 Saturday 2018w33 2018m8 2018 |
|-----------------------------------------------------------------------------|
41. | 41 432 587 02sep2019 Monday 2019w35 2019m9 2019 |
42. | 42 435 522 29jun2019 Saturday 2019w26 2019m6 2019 |
43. | 43 436 419 18mar2019 Monday 2019w11 2019m3 2019 |
44. | 44 440 265 15oct2018 Monday 2018w42 2018m10 2018 |
45. | 45 440 559 05aug2019 Monday 2019w31 2019m8 2019 |
|-----------------------------------------------------------------------------|
46. | 46 440 585 31aug2019 Saturday 2019w35 2019m8 2019 |
47. | 47 441 319 08dec2018 Saturday 2018w49 2018m12 2018 |
48. | 48 441 404 03mar2019 Sunday 2019w9 2019m3 2019 |
49. | 49 442 342 31dec2018 Monday 2018w52 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 2020w20 (daydi = 841, 842), the incomplete week & incomlete day (dayid = 843). variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 840 792.2857 649.6747 670.5 561 824 300 12676
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 167 or 1219. . di 824-561
263
. di 263*1.5
394.5
. di 824+394.5
1218.5
. di 561-394.5
166.5
There are 55 outliers (beyond 1219 or 167) in full dataset, in total. . count if (merit >= 1219 | merit <= 167) & merit != .
55
Those days are: +---------------------------+
| dayid merit date |
|---------------------------|
2. | 2 12676 25jan2018 |
3. | 3 6348 26jan2018 |
4. | 4 4627 27jan2018 |
5. | 5 3240 28jan2018 |
6. | 6 3343 29jan2018 |
7. | 7 3804 30jan2018 |
8. | 8 4103 31jan2018 |
9. | 9 2793 01feb2018 |
10. | 10 2621 02feb2018 |
11. | 11 2476 03feb2018 |
12. | 12 1790 04feb2018 |
13. | 13 2263 05feb2018 |
14. | 14 2003 06feb2018 |
15. | 15 2367 07feb2018 |
16. | 16 2059 08feb2018 |
17. | 17 2223 09feb2018 |
18. | 18 1334 10feb2018 |
19. | 19 1793 11feb2018 |
20. | 20 1475 12feb2018 |
21. | 21 1289 13feb2018 |
22. | 22 1580 14feb2018 |
23. | 23 2797 15feb2018 |
24. | 24 1740 16feb2018 |
25. | 25 1431 17feb2018 |
26. | 26 1589 18feb2018 |
27. | 27 1289 19feb2018 |
28. | 28 1442 20feb2018 |
30. | 30 1277 22feb2018 |
31. | 31 1249 23feb2018 |
33. | 33 1372 25feb2018 |
35. | 35 1414 27feb2018 |
36. | 36 1302 28feb2018 |
38. | 38 1345 02mar2018 |
39. | 39 1727 03mar2018 |
49. | 49 1316 13mar2018 |
51. | 51 1224 15mar2018 |
57. | 57 1390 21mar2018 |
237. | 237 2553 17sep2018 |
238. | 238 1807 18sep2018 |
239. | 239 1347 19sep2018 |
240. | 240 1221 20sep2018 |
|---------------------------|
429. | 429 1247 28mar2019 |
505. | 505 1227 12jun2019 |
660. | 660 1630 14nov2019 |
661. | 661 2374 15nov2019 |
662. | 662 1585 16nov2019 |
663. | 663 1377 17nov2019 |
664. | 664 2783 18nov2019 |
665. | 665 3826 19nov2019 |
666. | 666 2584 20nov2019 |
667. | 667 4889 21nov2019 |
668. | 668 5515 22nov2019 |
669. | 669 1590 23nov2019 |
678. | 678 1465 02dec2019 |
|---------------------------|
755. | 755 1364 17feb2020 |
+---------------------------+
- 2018: 41 (74.6%)
- 2019: 13 (23.6%)
- 2020: 1 (1.8%)
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You have to contact theymos (the head admin) and patiently wait for both confirmations and theymos' reply. I don't know you already knew the tip or not but it is not harm to give it to you. After buying the Copper membership, you have to activate it as the following guide from theymos. Once you have it, you get the choice:  |
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Bookmark for countdown timers  |
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In the past, this feature was only visible on mobile devices where hovering the pointer on the timestamp of the post to see the time when the post was edited is not possible.
On computer:I don't see the change you mentioned. Maybe what you meant is after hovering mouse on the creation day of post/ thread, the latest edited day will be displayed. If it is what you actually meant, it comes from the past and is not a newest change. On mobile devices:The latest edited day is automatically displayed. No need for hovering mouse to see it. Honestly, I don't know when it was firstly applied but it was an old minor feature. |
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There are bunch of factors that have different weighted effects on bitcoin in the future: - How many percent of bitcoins unmoved over consecutive years (like 10 years, 20 years)? They are mostly lost.
- The level of bitcoin adoption that discloses via its median of total transaction counts per block and median of weekly empty blocks
- The transaction fees (how high/low & stable will be?)
- The general growth of crypto industry
- etc.
[1] This figure is very important because it helps us knowing how many bitcoin potentially lost forever. It plays as an unofficial deflation for bitcoin's touchable total supply. [2] See: BTC empty blocks (2009 - 5 May 2020): miners, size, daily, monthly,yearly stats. For the first part of point [2], you can get it on glassnode.com (click on the link to see the chart)[3] For transaction fees, there are 2 main factors: cheap/ expensive; and stability. If in the future, there will be improvements on the Bitcoin protocol to make its transaction fees cheap (most of time, it is cheap) and more stably cheap, we will see more massive adoption and real usages of bitcoin in daily life. [4] I do believe that we will be early witnesses for one of the greatest revolution in human history and human civilization. |
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