I need another loan. Could you help me, please ? Thank you. Request For a No Collateral Loan from DarkStarRequired BTC Amount: 0.06 BTCEstimated Loan Duration: 30 days BTC Address: 16J4EgmFpiWBtji3WNyyqXQPcqnX6Z4JRA Signed Message: -----BEGIN BITCOIN SIGNED MESSAGE----- This is tranthidung from bitcointalk and today is the 2nd of January, 2020. I am asking DarkStar_ for a 0.06 BTC loan. Duration : 30 days max. If accepted, please send 0.06 BTC to : 16J4EgmFpiWBtji3WNyyqXQPcqnX6Z4JRA -----BEGIN SIGNATURE----- bc1qkjrr4u80fpyk59nlrlmzyfxfe37smauherfvfr IDc+nWbkoDGZYp+h3IHVf8StMmwICesUnHiZsMfLUf/NWNzrLoUGBsZ9gu+yoF3REc1XmE9uIlLJ9xIhZOPZOxs= -----END BITCOIN SIGNED MESSAGE----- Sorry, I edited the sign message a bit because the initial one contains incorrect year. Now, it is correct. Accepted, BTC sent: https://blockchair.com/bitcoin/transaction/cc497a7f374070de4643ee64401eb0eaaae95f78d3d939141d0eba413d9c7118Hi DarkStar_, Could you please allow me to extend my loan to 2 more weeks ? My current loan will be expired at the end of today.
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Thanks for your reply and acknowledging my previous question.
I am not sure how I missed your question or forgot to reply it before the yesterday's one. I remembered I read it but maybe I did not understand your question, so I skip it (it is the most possible reason I did not answer your question before yesterday). I'm sorry for that.
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I'm also disappointed you never responded to my question concerning which is better a post with one person giving ten merits or ten persons giving one merit each?
I understand what you asked. Decentralization of earned or gave-away merits. That is exactly what I do for that thread: Top-100 merited-artists in the 10th anniversary art contest- Lastly, if 2 artists have same summerits and same nsubmissions, the number of merit senders will be used. The higher nsenders one has, the higher rank s(he) will get. Because as I said, I think more decentralization is better.
The thread (this one) was originally created with limited ideas (from my experience with the merit system, and the forum), and the format has not yet been updated for too long. I am not going to upgrade the format (I might change it a little) and include too many new details (all-in-one thread is not what I am going to), nevertheless. It might require more posts to update each week because of limits of characters with BBcode and there are limited request on such statistics, I guess so. I don't have such stats available but I can do this (if I have spare time to play with data).
If you really need that details for your interests, feel free to ask here: Unofficial service to get your total merits in the last 120 days. I will give you answer with the latest merit data dump from theymos.
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Fake-forked, clone, or copied coins from Bitcoin is endemic in crypto. I don't have believe in forked or clone coins because if their team are smart and professional, they will be able to build up own source codes and don't need to clone or copy from the others. Why Bitcoin SV, Bitcoin A, B, C have to fork from bitcoin (BTC)? Why Ethereum A, B, C have to fork from Ethereum (ETH)? Why lots of altcoins have to fork from PIVX? All copied, clone coins are shit ones, and their team are too lazy. That thread is informative: How Many Bitcoin Forks Are There? You will be surprised!!!
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Something fishy here. @LoyceV files are off? The end of the world is nigh!
I recognised it so I stopped updating the thread minutes ago, then contacted LoyceV for help. I've fixed it already, it's up to tranthidung now Thank you. You fastly fixed it and gave me details in PM. All are correctly updated now. Enjoy!
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ABSTRACT 2020w4, GMT timeData is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w5 and an incomplete day (dayid = 738). Details on days dropped, please see above posts. Intra-day merits:- Total observed days: 735
- Potential outliers are days that have intraday total merits beyond 166 or 1194
- Median of intraday merits over the period is 656
- 50% of observed days have their intra-day merits range from 551 to 808 (the interquartile range)
- In medians, the highest and lowest days are Tuesday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
- There are 56 potential outliers (beyond 168 or 1186) in total.
- The distribution of outliers over years are: 42 (75%) for 2018, 14 (25%) for 2019, and 0 (0%) for 2020. (see details)
- Minimum and maximum of intraday merits (full dataset) are 300, and 12676, on 04/8/2019 and 25/1/2018, respectively.
Intra-week merits:- Total observed weeks: 105
- The median of intra-week merits is 4582
- 50% of observed weeks (104 weeks in total), have total merits in the range from 4109 to 5375 (the interquartile range of intra-week merits).
- Minimum and maximum of intra-week merits are 3186 and 27920, in 2018w35, and 2018w4, respectively;
- 10 potential outliers [beyond 2210 or 7274], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397).
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Intra-week merits (from 24/1/2018 to 28/1/2020)Last 3 days dropped due to incomplete week (2020w5) and an incomplete day (dayid = 738)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 | +-----------------+
Time series plotBasic statistics:- 50% of observed weeks ( 105 weeks) have total intra-week merits above 4582, whilst the rest 50% of them have total intra-week merits below 4582. 4582 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4109 to 5375 (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 | 105.0 5541.9 3535.0 4582.0 4109.0 5375.0 3186.0 27920.0 ----------------------------------------------------------------------------------------------
Potential outliers:. di 5375-4109 1266
. di 1266*1.5 1899
. di 5375+1899 7274
. di 4109-1899 2210
It means that potential outliers are weeks that have intra-week merits beyond 2210 or 7274. How many weeks are potential outliers? . count if (merit >= 7274 | merit < 2210) & merit != . 10
10 weeks are outliers, in total. List of those 10 weeks: +-----------------+ | merit week | |-----------------| 1. | 27920 2018w4 | 2. | 20930 2018w5 | 3. | 14042 2018w6 | 4. | 11901 2018w7 | 5. | 8879 2018w8 | |-----------------| 6. | 9005 2018w9 | 8. | 7340 2018w11 | 35. | 9587 2018w38 | 95. | 11070 2019w46 | 96. | 20397 2019w47 | +-----------------+
Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 ( 20397). List of weeks in descending weekly meritsThe last week (with 6646 merits) stays at the 15th position, among 105 weeks. +------------------------------+ | weeklyrank merit week | |------------------------------| 1. | 1 27920 2018w4 | 2. | 2 20930 2018w5 | 3. | 3 20397 2019w47 | 4. | 4 14042 2018w6 | 5. | 5 11901 2018w7 | |------------------------------| 6. | 6 11070 2019w46 | 7. | 7 9587 2018w38 | 8. | 8 9005 2018w9 | 9. | 9 8879 2018w8 | 10. | 10 7340 2018w11 | |------------------------------| 11. | 11 7247 2020w3 | 12. | 12 7178 2018w10 | 13. | 13 7138 2018w12 | 14. | 14 7058 2019w52 | 15. | 15 6646 2020w4 | |------------------------------| 16. | 16 6542 2018w14 | 17. | 17 6392 2018w13 | 18. | 18 6271 2019w48 | 19. | 19 6102 2019w2 | 20. | 20 6066 2019w51 | |------------------------------| 21. | 21 5946 2018w15 | 22. | 22 5776 2019w3 | 23. | 23 5745 2020w1 | 24. | 24 5728 2019w13 | 25. | 25 5596 2019w20 | |------------------------------| 26. | 26 5395 2020w2 | 27. | 27 5375 2019w43 | 28. | 28 5373 2019w24 | 29. | 29 5253 2019w15 | 30. | 30 5160 2019w42 | |------------------------------| 31. | 31 5043 2018w18 | 32. | 32 5002 2019w19 | 33. | 33 4979 2019w10 | 34. | 34 4880 2019w16 | 35. | 35 4832 2019w50 | |------------------------------| 36. | 36 4820 2018w17 | 37. | 37 4817 2019w18 | 38. | 38 4816 2019w44 | 39. | 39 4753 2019w45 | 40. | 40 4726 2019w9 | |------------------------------| 41. | 41 4701 2019w41 | 42. | 42 4695 2019w14 | 43. | 43 4693 2019w21 | 44. | 44 4690 2019w12 | 45. | 45 4685 2018w19 | |------------------------------| 46. | 46 4684 2018w26 | 47. | 47 4672 2019w26 | 48. | 48 4650 2019w49 | 49. | 49 4629 2019w25 | 50. | 50 4606 2018w47 | |------------------------------| 51. | 51 4597 2019w23 | 52. | 52 4584 2019w1 | 53. | 53 4582 2019w4 | 54. | 54 4574 2018w25 | 55. | 55 4508 2018w39 | |------------------------------| 56. | 56 4505 2019w6 | 57. | 57 4473 2018w23 | 58. | 58 4462 2019w28 | 59. | 59 4449 2018w16 | 60. | 60 4431 2018w20 | |------------------------------| 61. | 61 4424 2018w42 | 62. | 62 4408 2019w5 | 63. | 63 4386 2018w43 | 64. | 64 4382 2019w38 | 65. | 65 4377 2019w30 | |------------------------------| 66. | 66 4367 2018w27 | 67. | 67 4348 2019w39 | 68. | 68 4342 2019w22 | 69. | 69 4325 2018w40 | 70. | 70 4314 2019w8 | |------------------------------| 71. | 71 4295 2019w11 | 72. | 72 4277 2018w29 | 73. | 73 4260 2019w17 | 74. | 74 4259 2019w7 | 75. | 75 4248 2018w22 | |------------------------------| 76. | 76 4209 2019w40 | 77. | 77 4199 2018w32 | 78. | 78 4175 2018w45 | 79. | 79 4109 2018w28 | 80. | 80 4047 2018w46 | |------------------------------| 81. | 81 4005 2019w29 | 82. | 82 4005 2019w37 | 83. | 83 3981 2018w41 | 84. | 84 3965 2019w33 | 85. | 85 3953 2018w24 | |------------------------------| 86. | 86 3903 2018w21 | 87. | 87 3882 2019w27 | 88. | 88 3811 2019w34 | 89. | 89 3809 2018w30 | 90. | 90 3791 2018w48 | |------------------------------| 91. | 91 3767 2018w33 | 92. | 92 3763 2018w34 | 93. | 93 3689 2018w50 | 94. | 94 3687 2018w52 | 95. | 95 3683 2019w36 | |------------------------------| 96. | 96 3615 2018w51 | 97. | 97 3603 2019w31 | 98. | 98 3596 2018w49 | 99. | 99 3586 2018w37 | 100. | 100 3579 2019w35 | |------------------------------| 101. | 101 3536 2018w36 | 102. | 102 3489 2018w31 | 103. | 103 3346 2019w32 | 104. | 104 3321 2018w44 | 105. | 105 3186 2018w35 | +------------------------------+
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Medians and means of intra-day merits over days of weeks GMT timeColors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Tuesday, Friday, and Thursday at 700, 690, and 677, respectively; whislt the lowest days are Saturday, Sunday, and Wednesday at 592, 610, and 656, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 917, 854, and 812, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 697, 709, and 774, respectively. Basic statistics:Summary for variables: merit by categories of: dofw
dofw | N mean sd p50 p25 p75 min max ----------+-------------------------------------------------------------------------------- Sunday | 105 697.0381 375.343 610 492 747 300 3240 Monday | 105 774.0095 458.868 658 553 834 370 3343 Tuesday | 105 812.0571 503.2766 700 592 863 339 3826 Wednesday | 105 781.0476 458.8497 656 599 812 347 4103 Thursday | 105 916.1714 1283.176 677 573 792 411 12676 Friday | 105 853.1905 797.8059 690 561 828 373 6348 Saturday | 105 708.3714 493.3099 592 501 724 375 4627 ----------+-------------------------------------------------------------------------------- Total | 735 791.698 691.8314 656 551 808 300 12676 -------------------------------------------------------------------------------------------
Box plotsOutliers displayed as red circles. Outliers non-displayed. Details on ranks:In medians +----------------------------------------------------------------------+ | rankmedian dofw median mean p25 p75 min max | |----------------------------------------------------------------------| 1. | 1 Tuesday 700 812.0571 592 863 339 3826 | 2. | 2 Friday 690 853.1905 561 828 373 6348 | 3. | 3 Thursday 677 916.1714 573 792 411 12676 | 4. | 4 Monday 658 774.0095 553 834 370 3343 | 5. | 5 Wednesday 656 781.0476 599 812 347 4103 | |----------------------------------------------------------------------| 6. | 6 Sunday 610 697.0381 492 747 300 3240 | 7. | 7 Saturday 592 708.3714 501 724 375 4627 | +----------------------------------------------------------------------+
In means +--------------------------------------------------------------------+ | rankmean dofw mean median p25 p75 min max | |--------------------------------------------------------------------| 1. | 1 Thursday 916.1714 677 573 792 411 12676 | 2. | 2 Friday 853.1905 690 561 828 373 6348 | 3. | 3 Tuesday 812.0571 700 592 863 339 3826 | 4. | 4 Wednesday 781.0476 656 599 812 347 4103 | 5. | 5 Monday 774.0095 658 553 834 370 3343 | |--------------------------------------------------------------------| 6. | 6 Saturday 708.3714 592 501 724 375 4627 | 7. | 7 Sunday 697.0381 610 492 747 300 3240 | +--------------------------------------------------------------------+
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During the period from 24/1/2018 to 28/1/2020 (last 3 days dropped due to incomplete week, 2020w5 and an incomplete day - dayid = 738), the minimum and maximum of intra-day merit are 300 and 12676, on 04/8/2019 and 25/1/2018, respectively. List of the top 50-highest day in terms of intra-day merits: +-----------------------------------------------------------------------------+ | rank_max merit dayid date dofw week month year | |-----------------------------------------------------------------------------| 1. | 1 12676 2 25jan2018 Thursday 2018w4 2018m1 2018 | 2. | 2 6348 3 26jan2018 Friday 2018w4 2018m1 2018 | 3. | 3 5515 668 22nov2019 Friday 2019w47 2019m11 2019 | 4. | 4 4889 667 21nov2019 Thursday 2019w47 2019m11 2019 | 5. | 5 4627 4 27jan2018 Saturday 2018w4 2018m1 2018 | |-----------------------------------------------------------------------------| 6. | 6 4103 8 31jan2018 Wednesday 2018w5 2018m1 2018 | 7. | 7 3826 665 19nov2019 Tuesday 2019w47 2019m11 2019 | 8. | 8 3804 7 30jan2018 Tuesday 2018w5 2018m1 2018 | 9. | 9 3343 6 29jan2018 Monday 2018w5 2018m1 2018 | 10. | 10 3240 5 28jan2018 Sunday 2018w4 2018m1 2018 | |-----------------------------------------------------------------------------| 11. | 11 2797 23 15feb2018 Thursday 2018w7 2018m2 2018 | 12. | 12 2793 9 01feb2018 Thursday 2018w5 2018m2 2018 | 13. | 13 2783 664 18nov2019 Monday 2019w46 2019m11 2019 | 14. | 14 2621 10 02feb2018 Friday 2018w5 2018m2 2018 | 15. | 15 2584 666 20nov2019 Wednesday 2019w47 2019m11 2019 | |-----------------------------------------------------------------------------| 16. | 16 2553 237 17sep2018 Monday 2018w38 2018m9 2018 | 17. | 17 2476 11 03feb2018 Saturday 2018w5 2018m2 2018 | 18. | 18 2374 661 15nov2019 Friday 2019w46 2019m11 2019 | 19. | 19 2367 15 07feb2018 Wednesday 2018w6 2018m2 2018 | 20. | 20 2263 13 05feb2018 Monday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 21. | 21 2223 17 09feb2018 Friday 2018w6 2018m2 2018 | 22. | 22 2059 16 08feb2018 Thursday 2018w6 2018m2 2018 | 23. | 23 2003 14 06feb2018 Tuesday 2018w6 2018m2 2018 | 24. | 24 1807 238 18sep2018 Tuesday 2018w38 2018m9 2018 | 25. | 25 1793 19 11feb2018 Sunday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 26. | 26 1790 12 04feb2018 Sunday 2018w5 2018m2 2018 | 27. | 27 1740 24 16feb2018 Friday 2018w7 2018m2 2018 | 28. | 28 1727 39 03mar2018 Saturday 2018w9 2018m3 2018 | 29. | 29 1630 660 14nov2019 Thursday 2019w46 2019m11 2019 | 30. | 30 1590 669 23nov2019 Saturday 2019w47 2019m11 2019 | |-----------------------------------------------------------------------------| 31. | 31 1589 26 18feb2018 Sunday 2018w7 2018m2 2018 | 32. | 32 1585 662 16nov2019 Saturday 2019w46 2019m11 2019 | 33. | 33 1580 22 14feb2018 Wednesday 2018w7 2018m2 2018 | 34. | 34 1475 20 12feb2018 Monday 2018w7 2018m2 2018 | 35. | 35 1465 678 02dec2019 Monday 2019w48 2019m12 2019 | |-----------------------------------------------------------------------------| 36. | 36 1442 28 20feb2018 Tuesday 2018w8 2018m2 2018 | 37. | 37 1431 25 17feb2018 Saturday 2018w7 2018m2 2018 | 38. | 38 1414 35 27feb2018 Tuesday 2018w9 2018m2 2018 | 39. | 39 1390 57 21mar2018 Wednesday 2018w12 2018m3 2018 | 40. | 40 1377 663 17nov2019 Sunday 2019w46 2019m11 2019 | |-----------------------------------------------------------------------------| 41. | 41 1372 33 25feb2018 Sunday 2018w8 2018m2 2018 | 42. | 42 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 | 43. | 43 1345 38 02mar2018 Friday 2018w9 2018m3 2018 | 44. | 44 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 | 45. | 45 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 | |-----------------------------------------------------------------------------| 46. | 46 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 | 47. | 47 1289 27 19feb2018 Monday 2018w8 2018m2 2018 | 48. | 48 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 | 49. | 49 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 | 50. | 50 1249 31 23feb2018 Friday 2018w8 2018m2 2018 | +-----------------------------------------------------------------------------+
List of the top 50-lowest days in terms of intra-day merits: +-----------------------------------------------------------------------------+ | rank_min merit dayid date dofw week month year | |-----------------------------------------------------------------------------| 1. | 1 300 558 04aug2019 Sunday 2019w31 2019m8 2019 | 2. | 2 333 341 30dec2018 Sunday 2018w52 2018m12 2018 | 3. | 3 339 343 01jan2019 Tuesday 2019w1 2019m1 2019 | 4. | 4 347 299 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. | 14 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 | 15. | 15 378 566 12aug2019 Monday 2019w32 2019m8 2019 | |-----------------------------------------------------------------------------| 16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 | 17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 | 18. | 18 385 215 26aug2018 Sunday 2018w34 2018m8 2018 | 19. | 19 385 327 16dec2018 Sunday 2018w50 2018m12 2018 | 20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 | |-----------------------------------------------------------------------------| 21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 | 22. | 22 399 593 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. | 29 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 | 30. | 30 409 123 26may2018 Saturday 2018w21 2018m5 2018 | |-----------------------------------------------------------------------------| 31. | 31 410 279 29oct2018 Monday 2018w44 2018m10 2018 | 32. | 32 411 569 15aug2019 Thursday 2019w33 2019m8 2019 | 33. | 33 411 578 24aug2019 Saturday 2019w34 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. | 44 440 559 05aug2019 Monday 2019w31 2019m8 2019 | 45. | 45 440 265 15oct2018 Monday 2018w42 2018m10 2018 | |-----------------------------------------------------------------------------| 46. | 46 440 585 31aug2019 Saturday 2019w35 2019m8 2019 | 47. | 47 441 404 03mar2019 Sunday 2019w9 2019m3 2019 | 48. | 48 441 319 08dec2018 Saturday 2018w49 2018m12 2018 | 49. | 49 442 342 31dec2018 Monday 2018w52 2018m12 2018 | 50. | 50 442 278 28oct2018 Sunday 2018w43 2018m10 2018 | +-----------------------------------------------------------------------------+
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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 2020w5 (daydi = 736, 737), the incomplete week & incomlete day (dayid = 738). variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 735 791.698 691.8314 656 551 808 300 12676 ----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 166 or 1194. . di 808-551 257
. di 257*1.5 385.5
. di 808+385.5 1193.5
. di 551-385.5 165.5
There are 56 outliers (beyond 1186 or 168) in full dataset, in total. . count if (merit >= 1194 | merit <= 166) & merit != . 56
Those days are: +---------------------------+ | dayid merit date | |---------------------------| 2. | 2 12676 25jan2018 | 3. | 3 6348 26jan2018 | 4. | 4 4627 27jan2018 | 5. | 5 3240 28jan2018 | 6. | 6 3343 29jan2018 | 7. | 7 3804 30jan2018 | 8. | 8 4103 31jan2018 | 9. | 9 2793 01feb2018 | 10. | 10 2621 02feb2018 | 11. | 11 2476 03feb2018 | 12. | 12 1790 04feb2018 | 13. | 13 2263 05feb2018 | 14. | 14 2003 06feb2018 | 15. | 15 2367 07feb2018 | 16. | 16 2059 08feb2018 | 17. | 17 2223 09feb2018 | 18. | 18 1334 10feb2018 | 19. | 19 1793 11feb2018 | 20. | 20 1475 12feb2018 | 21. | 21 1289 13feb2018 | 22. | 22 1580 14feb2018 | 23. | 23 2797 15feb2018 | 24. | 24 1740 16feb2018 | 25. | 25 1431 17feb2018 | 26. | 26 1589 18feb2018 | 27. | 27 1289 19feb2018 | 28. | 28 1442 20feb2018 | 30. | 30 1277 22feb2018 | 31. | 31 1249 23feb2018 | 33. | 33 1372 25feb2018 | 35. | 35 1414 27feb2018 | 36. | 36 1302 28feb2018 | 38. | 38 1345 02mar2018 | 39. | 39 1727 03mar2018 | 49. | 49 1316 13mar2018 | 51. | 51 1224 15mar2018 | 57. | 57 1390 21mar2018 | 58. | 58 1211 22mar2018 | 237. | 237 2553 17sep2018 | 238. | 238 1807 18sep2018 | 239. | 239 1347 19sep2018 | 240. | 240 1221 20sep2018 | |---------------------------| 429. | 429 1247 28mar2019 | 476. | 476 1215 14may2019 | 505. | 505 1227 12jun2019 | 660. | 660 1630 14nov2019 | 661. | 661 2374 15nov2019 | 662. | 662 1585 16nov2019 | 663. | 663 1377 17nov2019 | 664. | 664 2783 18nov2019 | 665. | 665 3826 19nov2019 | 666. | 666 2584 20nov2019 | 667. | 667 4889 21nov2019 | 668. | 668 5515 22nov2019 | 669. | 669 1590 23nov2019 | 678. | 678 1465 02dec2019 | +---------------------------+
Distributions of outliers over years:- 2018: 42 (75%)
- 2019: 14 (25%)
- 2020: 0 (0%)
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Converted dataset: - In 2020 at 31jan2020 02:51:21 (GMT time)
- The last one, with dayid == 738 is an incomplete day.
+----------------------------------------------------------------+ | dayid date merit dofw week month year | |----------------------------------------------------------------| 708. | 708 01jan2020 810 Wednesday 2020w1 2020m1 2020 | 709. | 709 02jan2020 854 Thursday 2020w1 2020m1 2020 | 710. | 710 03jan2020 837 Friday 2020w1 2020m1 2020 | 711. | 711 04jan2020 637 Saturday 2020w1 2020m1 2020 | 712. | 712 05jan2020 777 Sunday 2020w1 2020m1 2020 | |----------------------------------------------------------------| 713. | 713 06jan2020 959 Monday 2020w1 2020m1 2020 | 714. | 714 07jan2020 871 Tuesday 2020w1 2020m1 2020 | 715. | 715 08jan2020 860 Wednesday 2020w2 2020m1 2020 | 716. | 716 09jan2020 733 Thursday 2020w2 2020m1 2020 | 717. | 717 10jan2020 745 Friday 2020w2 2020m1 2020 | |----------------------------------------------------------------| 718. | 718 11jan2020 743 Saturday 2020w2 2020m1 2020 | 719. | 719 12jan2020 689 Sunday 2020w2 2020m1 2020 | 720. | 720 13jan2020 754 Monday 2020w2 2020m1 2020 | 721. | 721 14jan2020 871 Tuesday 2020w2 2020m1 2020 | 722. | 722 15jan2020 979 Wednesday 2020w3 2020m1 2020 | |----------------------------------------------------------------| 723. | 723 16jan2020 972 Thursday 2020w3 2020m1 2020 | 724. | 724 17jan2020 1063 Friday 2020w3 2020m1 2020 | 725. | 725 18jan2020 823 Saturday 2020w3 2020m1 2020 | 726. | 726 19jan2020 1192 Sunday 2020w3 2020m1 2020 | 727. | 727 20jan2020 1136 Monday 2020w3 2020m1 2020 | |----------------------------------------------------------------| 728. | 728 21jan2020 1082 Tuesday 2020w3 2020m1 2020 | 729. | 729 22jan2020 863 Wednesday 2020w4 2020m1 2020 | 730. | 730 23jan2020 1050 Thursday 2020w4 2020m1 2020 | 731. | 731 24jan2020 1061 Friday 2020w4 2020m1 2020 | 732. | 732 25jan2020 1043 Saturday 2020w4 2020m1 2020 | |----------------------------------------------------------------| 733. | 733 26jan2020 715 Sunday 2020w4 2020m1 2020 | 734. | 734 27jan2020 961 Monday 2020w4 2020m1 2020 | 735. | 735 28jan2020 953 Tuesday 2020w4 2020m1 2020 | 736. | 736 29jan2020 1051 Wednesday 2020w5 2020m1 2020 | 737. | 737 30jan2020 1125 Thursday 2020w5 2020m1 2020 | |----------------------------------------------------------------| 738. | 738 31jan2020 63 Friday 2020w5 2020m1 2020 | +----------------------------------------------------------------+
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Bump with update for full data within the first 2 years since the birthday of merit system.
From stats, we have seen users make more merit transaction in the 2nd year and the median of intraday merits has increased over years. See the Abstract in OP for more details
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This post has been edited Reason: I wanted to re-apply, but I just found out I'm already on the list of considered participants. Will change signature if I am eventually accepted. It is incorrect. Considering status in my thread means: - If you are old applicants (applicants): you are truly considering because you've passed through the first 2 rounds of investigation from the manager.
- If you are new applicants (new applicants): you only applied recent days, and have not yet passed through any investigation round of the manager.
That is why some not-accepted old applicants mentioned as deleted applications because they deleted their applications after were denied by the manager or for the other reasons. You don't have to re-apply. - Open slots will fill from existing applications and new applications. If you're already applied, you do not need to reapply.
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