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8181  Other / Meta / Re: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) on: March 06, 2019, 07:05:08 AM
List of the top 50-highest day in terms of intra-day merits:
Code:
. list merit id date dofw day month2 year week month

     +-------------------------------------------------------------------------------+
     | merit    id        date        dofw   day   month2   year      week     month |
     |-------------------------------------------------------------------------------|
  1. | 13018     1   24jan2018   Wednesday    24        1   2018    2018w4    2018m1 |
  2. |  6761     2   25jan2018    Thursday    25        1   2018    2018w4    2018m1 |
  3. |  4493     3   26jan2018      Friday    26        1   2018    2018w4    2018m1 |
  4. |  4192     7   30jan2018     Tuesday    30        1   2018    2018w5    2018m1 |
  5. |  3799     6   29jan2018      Monday    29        1   2018    2018w5    2018m1 |
     |-------------------------------------------------------------------------------|
  6. |  3489     4   27jan2018    Saturday    27        1   2018    2018w4    2018m1 |
  7. |  3188     5   28jan2018      Sunday    28        1   2018    2018w4    2018m1 |
  8. |  2820     8   31jan2018   Wednesday    31        1   2018    2018w5    2018m1 |
  9. |  2568    10   02feb2018      Friday     2        2   2018    2018w5    2018m2 |
 10. |  2545     9   01feb2018    Thursday     1        2   2018    2018w5    2018m2 |
     |-------------------------------------------------------------------------------|
 11. |  2513    22   14feb2018   Wednesday    14        2   2018    2018w7    2018m2 |
 12. |  2463   236   16sep2018      Sunday    16        9   2018   2018w37    2018m9 |
 13. |  2308    14   06feb2018     Tuesday     6        2   2018    2018w6    2018m2 |
 14. |  2167    12   04feb2018      Sunday     4        2   2018    2018w5    2018m2 |
 15. |  2141    15   07feb2018   Wednesday     7        2   2018    2018w6    2018m2 |
     |-------------------------------------------------------------------------------|
 16. |  2141    16   08feb2018    Thursday     8        2   2018    2018w6    2018m2 |
 17. |  2077    13   05feb2018      Monday     5        2   2018    2018w6    2018m2 |
 18. |  1991    23   15feb2018    Thursday    15        2   2018    2018w7    2018m2 |
 19. |  1867    11   03feb2018    Saturday     3        2   2018    2018w5    2018m2 |
 20. |  1862   237   17sep2018      Monday    17        9   2018   2018w38    2018m9 |
     |-------------------------------------------------------------------------------|
 21. |  1747    18   10feb2018    Saturday    10        2   2018    2018w6    2018m2 |
 22. |  1696    38   02mar2018      Friday     2        3   2018    2018w9    2018m3 |
 23. |  1608    25   17feb2018    Saturday    17        2   2018    2018w7    2018m2 |
 24. |  1579    21   13feb2018     Tuesday    13        2   2018    2018w7    2018m2 |
 25. |  1448    17   09feb2018      Friday     9        2   2018    2018w6    2018m2 |
     |-------------------------------------------------------------------------------|
 26. |  1442    19   11feb2018      Sunday    11        2   2018    2018w6    2018m2 |
 27. |  1411    24   16feb2018      Friday    16        2   2018    2018w7    2018m2 |
 28. |  1409    32   24feb2018    Saturday    24        2   2018    2018w8    2018m2 |
 29. |  1403    27   19feb2018      Monday    19        2   2018    2018w8    2018m2 |
 30. |  1382    34   26feb2018      Monday    26        2   2018    2018w9    2018m2 |
     |-------------------------------------------------------------------------------|
 31. |  1354    48   12mar2018      Monday    12        3   2018   2018w11    2018m3 |
 32. |  1333    37   01mar2018    Thursday     1        3   2018    2018w9    2018m3 |
 33. |  1331    20   12feb2018      Monday    12        2   2018    2018w7    2018m2 |
 34. |  1326    35   27feb2018     Tuesday    27        2   2018    2018w9    2018m2 |
 35. |  1322    56   20mar2018     Tuesday    20        3   2018   2018w12    2018m3 |
     |-------------------------------------------------------------------------------|
 36. |  1294   238   18sep2018     Tuesday    18        9   2018   2018w38    2018m9 |
 37. |  1289    26   18feb2018      Sunday    18        2   2018    2018w7    2018m2 |
 38. |  1279    30   22feb2018    Thursday    22        2   2018    2018w8    2018m2 |
 39. |  1268   239   19sep2018   Wednesday    19        9   2018   2018w38    2018m9 |
 40. |  1266    29   21feb2018   Wednesday    21        2   2018    2018w8    2018m2 |
     |-------------------------------------------------------------------------------|
 41. |  1245    41   05mar2018      Monday     5        3   2018   2018w10    2018m3 |
 42. |  1233    68   01apr2018      Sunday     1        4   2018   2018w13    2018m4 |
 43. |  1227    57   21mar2018   Wednesday    21        3   2018   2018w12    2018m3 |
 44. |  1186    33   25feb2018      Sunday    25        2   2018    2018w8    2018m2 |
 45. |  1169    28   20feb2018     Tuesday    20        2   2018    2018w8    2018m2 |
     |-------------------------------------------------------------------------------|
 46. |  1161   351   09jan2019   Wednesday     9        1   2019    2019w2    2019m1 |
 47. |  1159    50   14mar2018   Wednesday    14        3   2018   2018w11    2018m3 |
 48. |  1146    69   02apr2018      Monday     2        4   2018   2018w14    2018m4 |
 49. |  1138   153   25jun2018      Monday    25        6   2018   2018w26    2018m6 |
 50. |  1130    51   15mar2018    Thursday    15        3   2018   2018w11    2018m3 |
     |-------------------------------------------------------------------------------|

List of the top 50-lowest days in terms of intra-day merits:
Code:
. list merit id date dofw day month2 year week month

     +-------------------------------------------------------------------------------+
     | merit    id        date        dofw   day   month2   year      week     month |
     |-------------------------------------------------------------------------------|
  1. |   312   335   24dec2018      Monday    24       12   2018   2018w52   2018m12 |
  2. |   316   333   22dec2018    Saturday    22       12   2018   2018w51   2018m12 |
  3. |   325   340   29dec2018    Saturday    29       12   2018   2018w52   2018m12 |
  4. |   347   338   27dec2018    Thursday    27       12   2018   2018w52   2018m12 |
  5. |   347   298   17nov2018    Saturday    17       11   2018   2018w46   2018m11 |
     |-------------------------------------------------------------------------------|
  6. |   348   304   23nov2018      Friday    23       11   2018   2018w47   2018m11 |
  7. |   370   122   25may2018      Friday    25        5   2018   2018w21    2018m5 |
  8. |   376   191   02aug2018    Thursday     2        8   2018   2018w31    2018m8 |
  9. |   376   342   31dec2018      Monday    31       12   2018   2018w52   2018m12 |
 10. |   377   326   15dec2018    Saturday    15       12   2018   2018w50   2018m12 |
     |-------------------------------------------------------------------------------|
 11. |   379   220   31aug2018      Friday    31        8   2018   2018w35    2018m8 |
 12. |   383   217   28aug2018     Tuesday    28        8   2018   2018w35    2018m8 |
 13. |   385   214   25aug2018    Saturday    25        8   2018   2018w34    2018m8 |
 14. |   386   339   28dec2018      Friday    28       12   2018   2018w52   2018m12 |
 15. |   389   341   30dec2018      Sunday    30       12   2018   2018w52   2018m12 |
     |-------------------------------------------------------------------------------|
 16. |   394   345   03jan2019    Thursday     3        1   2019    2019w1    2019m1 |
 17. |   395   228   08sep2018    Saturday     8        9   2018   2018w36    2018m9 |
 18. |   397   320   09dec2018      Sunday     9       12   2018   2018w49   2018m12 |
 19. |   399   262   12oct2018      Friday    12       10   2018   2018w41   2018m10 |
 20. |   402   329   18dec2018     Tuesday    18       12   2018   2018w51   2018m12 |
     |-------------------------------------------------------------------------------|
 21. |   405   287   06nov2018     Tuesday     6       11   2018   2018w45   2018m11 |
 22. |   412   222   02sep2018      Sunday     2        9   2018   2018w35    2018m9 |
 23. |   415   278   28oct2018      Sunday    28       10   2018   2018w43   2018m10 |
 24. |   415   109   12may2018    Saturday    12        5   2018   2018w19    2018m5 |
 25. |   418   186   28jul2018    Saturday    28        7   2018   2018w30    2018m7 |
     |-------------------------------------------------------------------------------|
 26. |   420   187   29jul2018      Sunday    29        7   2018   2018w30    2018m7 |
 27. |   421   192   03aug2018      Friday     3        8   2018   2018w31    2018m8 |
 28. |   422   140   12jun2018     Tuesday    12        6   2018   2018w24    2018m6 |
 29. |   424   276   26oct2018      Friday    26       10   2018   2018w43   2018m10 |
 30. |   424   313   02dec2018      Sunday     2       12   2018   2018w48   2018m12 |
     |-------------------------------------------------------------------------------|
 31. |   426   277   27oct2018    Saturday    27       10   2018   2018w43   2018m10 |
 32. |   430   264   14oct2018      Sunday    14       10   2018   2018w41   2018m10 |
 33. |   430   284   03nov2018    Saturday     3       11   2018   2018w44   2018m11 |
 34. |   432   208   19aug2018      Sunday    19        8   2018   2018w33    2018m8 |
 35. |   432   221   01sep2018    Saturday     1        9   2018   2018w35    2018m9 |
     |-------------------------------------------------------------------------------|
 36. |   433   282   01nov2018    Thursday     1       11   2018   2018w44   2018m11 |
 37. |   435   190   01aug2018   Wednesday     1        8   2018   2018w31    2018m8 |
 38. |   435   154   26jun2018     Tuesday    26        6   2018   2018w26    2018m6 |
 39. |   444   182   24jul2018     Tuesday    24        7   2018   2018w30    2018m7 |
 40. |   445   143   15jun2018      Friday    15        6   2018   2018w24    2018m6 |
     |-------------------------------------------------------------------------------|
 41. |   450   373   31jan2019    Thursday    31        1   2019    2019w5    2019m1 |
 42. |   451   206   17aug2018      Friday    17        8   2018   2018w33    2018m8 |
 43. |   454   283   02nov2018      Friday     2       11   2018   2018w44   2018m11 |
 44. |   455   229   09sep2018      Sunday     9        9   2018   2018w36    2018m9 |
 45. |   455   167   09jul2018      Monday     9        7   2018   2018w28    2018m7 |
     |-------------------------------------------------------------------------------|
 46. |   457   216   27aug2018      Monday    27        8   2018   2018w35    2018m8 |
 47. |   458   324   13dec2018    Thursday    13       12   2018   2018w50   2018m12 |
 48. |   458   227   07sep2018      Friday     7        9   2018   2018w36    2018m9 |
 49. |   460   263   13oct2018    Saturday    13       10   2018   2018w41   2018m10 |
 50. |   461   130   02jun2018    Saturday     2        6   2018   2018w22    2018m6 |
     |-------------------------------------------------------------------------------|

During the period from 24/1/2018 to 25/2/2019, the minimum and maximum of intra-day merits are 312 and 13018 , on 24/12/2018 and 24/1/2018, respectively.
8182  Other / Meta / Re: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) on: March 06, 2019, 06:53:55 AM
Medians and means of intra-day merits over days of weeks.

- In median, the highest days are Monday, Wednesday, and Thursday at 666, 654, and 636, respectively; whislt the lowest days are Friday, Sunday, and Saturday at 554, 607, and 614, respectively.
- In means, the highest days are Monday, Wednesday, and both Sunday, Tuesday at 745, 714, and 694, respectively; whilst the lowest days are Friday, Saturday, and Thursday at 614, 627, and 667, respectively.
- In both medians and means, Monday is the highest day, whilst the lowest day is Friday.

Calendar day is in GMT time.
To take away all doubt: the first Merit was this one:
Code:
1516831941	1	2818066.msg28853325	35	877396
Use EpochConverter to convert 1516831941 (Unix Time) to GMT: Wednesday 24 January 2018 22:12:21.

Basic statistics:
Code:
. tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f) by(dofw)

Summary for variables: merit
     by categories of: dofw

     dofw |         N      mean        sd       p50       p25       p75       min       max
----------+--------------------------------------------------------------------------------
   Sunday |      53.0     693.7     327.2     607.0     486.0     796.0     389.0    2463.0
   Monday |      54.0     744.1     295.2     666.0     562.0     822.0     312.0    1862.0
  Tuesday |      53.0     694.0     226.3     626.0     580.0     767.0     383.0    1326.0
Wednesday |      53.0     714.0     217.5     654.0     559.0     759.0     435.0    1268.0
 Thursday |      53.0     667.0     220.9     636.0     509.0     764.0     347.0    1333.0
   Friday |      53.0     613.7     225.8     554.0     479.0     682.0     348.0    1696.0
 Saturday |      53.0     626.8     216.5     614.0     463.0     688.0     316.0    1409.0
----------+--------------------------------------------------------------------------------
    Total |     372.0     679.2     252.4     618.5     518.5     766.5     312.0    2463.0
-------------------------------------------------------------------------------------------

Box plots
Outliers displayed as red circles.

Outliers non-displayed.
8183  Other / Meta / Re: DefaultTrust changes on: March 06, 2019, 06:35:50 AM
Update for 7 weeks after the implementation of Default Trust Change:
If nothing new happen next days/ weeks, the delayed effects of Default Trust Change on merit circulations tailed off over the last 7 weeks.
If nothing strange occurs, I will stop doing analysis in the topic when the ten weeks later passed (3 more weeks).

Colors:
- Red: Decrease
- Green: Increase.

Two week later:
Median: + 37.1
Mean: + 24.2

Three weeks later:
Median: + 15.9
Mean: + 15.5

Four weeks later:
Median: + 15.6
Mean: + 11.1

Five weeks later:
Median: + 6.2
Mean: + 6.4

Six weeks later:
Median: + 4.2
Mean: + 3.5

Seven weeks later:
Median: + 4.2
Mean: + 2.7

More details such as methods of the calculation, can be found there, Tracking the difference of merit circulations with Default Trust Changes
8184  Other / Meta / Re: Tracking the difference of merit circulations with Default Trust Changes on: March 06, 2019, 06:35:25 AM
7 weeks later update:
Median: + 4.2 %
Mean: + 2.7 %



ABSTRACT

(1) Both median and mean of six-week-later period are higher then the before period, with cut-off day is 09/01/2019, at 4.2% and 2.7%, respectively.
(2) 50 percent of days in the seven weeks later period have intraday merits in the range from 595 to 736 (the interquartile range), whilst the figures of the before period are 511 to 767.
(3) The median of seven-week-later period is almost the same as the figure of the six-week-later period, at 643 and 642.5, respectively.





Box plots:
Outliers displayed with red circles

Outliers, non-displayed

Basic statistics:
Code:
. tabstat before090119 wkslater_2 wkslater_3 wkslater_4 wkslater_5 wkslater_6 wkslater_7, s(n mean sd p50 p25 p75 min max) format(%9.1f) c(s)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
before090119 |     324.0     677.0     263.0     616.5     510.5     766.5     312.0    2463.0
  wkslater_2 |      14.0     840.4     191.4     845.5     658.0     987.0     611.0    1161.0
  wkslater_3 |      21.0     781.9     179.5     715.0     643.0     880.0     587.0    1161.0
  wkslater_4 |      28.0     752.0     183.4     713.0     613.5     879.0     450.0    1161.0
  wkslater_5 |      35.0     719.5     176.9     655.0     595.0     813.0     450.0    1161.0
  wkslater_6 |      42.0     701.0     167.6     642.5     595.0     776.0     450.0    1161.0
  wkslater_7 |      49.0     694.9     163.0     643.0     595.0     736.0     450.0    1161.0
----------------------------------------------------------------------------------------------


Percent changes:
Code:
. * For Means
. di (695-677)*100/677
2.6587888

. * For Medians
. di (643-617)*100/617
4.2139384

8185  Other / Meta / Re: It is extremely hard to gain merits on: March 05, 2019, 04:30:19 PM
sMerits are abundantly everywhere.
Someone hold them without any specific purposes.
Someone hold them with good purposes, but they have not found merit deserved threads or posts to give their smerits.

In short, I believe that sMerits are not too scarce as most of us imagined, they are abundantly, and need deserved threads or posts to be sent to them.
In other words, sMerit is not scarce, whilst the good, merit derserved threads/ posts are really scarce.
As for my case, I earned more than 130 merits since December last year, and only fall behind a little bit to the minimum required merits to promote to Senior Member.
I will try and believe that I can get promoted till the end of March.
8186  Other / Meta / Re: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) on: March 05, 2019, 04:00:43 PM
Update on intra-day merit
(from 24/1/2018 to 27/2/2019)


Time series plots:
Full dataset

Truncated dataset:



Basic statistics:
Full dataset
Code:
. tabstat merit, s(n mean sd p50 p25 p75 min max)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |       400   824.725  852.1836       636     525.5     810.5       312     13018
----------------------------------------------------------------------------------------------
First two days dropped, and last two days dropped (due to incomplete week, 2019w9):
Code:
. tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |     396.0     779.9     515.5     634.0     524.0     807.5     312.0    4493.0
----------------------------------------------------------------------------------------------

Potential outliers:
Code:
. list id merit date if (merit >= 1232.75 | merit <= 98.75) & merit != .

     +-------------------------+
     |  id   merit        date |
     |-------------------------|
  1. |   3    4493   26jan2018 |
  2. |   4    3489   27jan2018 |
  3. |   5    3188   28jan2018 |
  4. |   6    3799   29jan2018 |
  5. |   7    4192   30jan2018 |
     |-------------------------|
  6. |   8    2820   31jan2018 |
  7. |   9    2545   01feb2018 |
  8. |  10    2568   02feb2018 |
  9. |  11    1867   03feb2018 |
 10. |  12    2167   04feb2018 |
     |-------------------------|
 11. |  13    2077   05feb2018 |
 12. |  14    2308   06feb2018 |
 13. |  15    2141   07feb2018 |
 14. |  16    2141   08feb2018 |
 15. |  17    1448   09feb2018 |
     |-------------------------|
 16. |  18    1747   10feb2018 |
 17. |  19    1442   11feb2018 |
 18. |  20    1331   12feb2018 |
 19. |  21    1579   13feb2018 |
 20. |  22    2513   14feb2018 |
     |-------------------------|
 21. |  23    1991   15feb2018 |
 22. |  24    1411   16feb2018 |
 23. |  25    1608   17feb2018 |
 24. |  26    1289   18feb2018 |
 25. |  27    1403   19feb2018 |
     |-------------------------|
 27. |  29    1266   21feb2018 |
 28. |  30    1279   22feb2018 |
 30. |  32    1409   24feb2018 |
 32. |  34    1382   26feb2018 |
 33. |  35    1326   27feb2018 |
     |-------------------------|
 35. |  37    1333   01mar2018 |
 36. |  38    1696   02mar2018 |
 39. |  41    1245   05mar2018 |
 46. |  48    1354   12mar2018 |
 54. |  56    1322   20mar2018 |
     |-------------------------|
 66. |  68    1233   01apr2018 |
234. | 236    2463   16sep2018 |
235. | 237    1862   17sep2018 |
236. | 238    1294   18sep2018 |
237. | 239    1268   19sep2018 |
     +-------------------------+
How many outliers identified?
Code:
. count if (merit >= 1232.75 | merit <= 98.75) & merit != .
  40
40 days in total are extremely potential outliers.

List of 40 potential outliers, none of them occured in 2019.
Code:
. list id merit date if (merit >= 1232.75 | merit <= 98.75) & merit != .

     +-------------------------+
     |  id   merit        date |
     |-------------------------|
  1. |   3    4493   26jan2018 |
  2. |   4    3489   27jan2018 |
  3. |   5    3188   28jan2018 |
  4. |   6    3799   29jan2018 |
  5. |   7    4192   30jan2018 |
     |-------------------------|
  6. |   8    2820   31jan2018 |
  7. |   9    2545   01feb2018 |
  8. |  10    2568   02feb2018 |
  9. |  11    1867   03feb2018 |
 10. |  12    2167   04feb2018 |
     |-------------------------|
 11. |  13    2077   05feb2018 |
 12. |  14    2308   06feb2018 |
 13. |  15    2141   07feb2018 |
 14. |  16    2141   08feb2018 |
 15. |  17    1448   09feb2018 |
     |-------------------------|
 16. |  18    1747   10feb2018 |
 17. |  19    1442   11feb2018 |
 18. |  20    1331   12feb2018 |
 19. |  21    1579   13feb2018 |
 20. |  22    2513   14feb2018 |
     |-------------------------|
 21. |  23    1991   15feb2018 |
 22. |  24    1411   16feb2018 |
 23. |  25    1608   17feb2018 |
 24. |  26    1289   18feb2018 |
 25. |  27    1403   19feb2018 |
     |-------------------------|
 27. |  29    1266   21feb2018 |
 28. |  30    1279   22feb2018 |
 30. |  32    1409   24feb2018 |
 32. |  34    1382   26feb2018 |
 33. |  35    1326   27feb2018 |
     |-------------------------|
 35. |  37    1333   01mar2018 |
 36. |  38    1696   02mar2018 |
 39. |  41    1245   05mar2018 |
 46. |  48    1354   12mar2018 |
 54. |  56    1322   20mar2018 |
     |-------------------------|
 66. |  68    1233   01apr2018 |
234. | 236    2463   16sep2018 |
235. | 237    1862   17sep2018 |
236. | 238    1294   18sep2018 |
237. | 239    1268   19sep2018 |
     +-------------------------+

Truncated dataset
Code:
. tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |     372.0     679.2     252.4     618.5     518.5     766.5     312.0    2463.0
----------------------------------------------------------------------------------------------

Potential outliers:
Code:

How many potential outliers identified in truncated dataset?
Code:
. count if (merit >= 1138.5 | merit <= 146.5) & merit != .
  22
List of those 22 days
Code:
. list id merit date if (merit >= 1138.5 | merit <= 146.5) & merit != .

     +-------------------------+
     |  id   merit        date |
     |-------------------------|
  1. |  27    1403   19feb2018 |
  2. |  28    1169   20feb2018 |
  3. |  29    1266   21feb2018 |
  4. |  30    1279   22feb2018 |
  6. |  32    1409   24feb2018 |
     |-------------------------|
  7. |  33    1186   25feb2018 |
  8. |  34    1382   26feb2018 |
  9. |  35    1326   27feb2018 |
 11. |  37    1333   01mar2018 |
 12. |  38    1696   02mar2018 |
     |-------------------------|
 15. |  41    1245   05mar2018 |
 22. |  48    1354   12mar2018 |
 24. |  50    1159   14mar2018 |
 30. |  56    1322   20mar2018 |
 31. |  57    1227   21mar2018 |
     |-------------------------|
 42. |  68    1233   01apr2018 |
 43. |  69    1146   02apr2018 |
210. | 236    2463   16sep2018 |
211. | 237    1862   17sep2018 |
212. | 238    1294   18sep2018 |
     |-------------------------|
213. | 239    1268   19sep2018 |
325. | 351    1161   09jan2019 |
     +-------------------------+
Only one of them occured in 2019, on 09/1/2019.
8187  Other / Meta / Re: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) on: March 02, 2019, 04:45:51 PM
I thank you, LoyceV, for another data dump this week.

Update:
Converted intra-day merits in 2019
Code:
. list id merit date day month2 year week month dofw if year == 2019

     +-----------------------------------------------------------------------------+
     |  id   merit        date   day   month2   year     week    month        dofw |
     |-----------------------------------------------------------------------------|
343. | 343     603   01jan2019     1        1   2019   2019w1   2019m1     Tuesday |
344. | 344     526   02jan2019     2        1   2019   2019w1   2019m1   Wednesday |
345. | 345     394   03jan2019     3        1   2019   2019w1   2019m1    Thursday |
346. | 346    1082   04jan2019     4        1   2019   2019w1   2019m1      Friday |
347. | 347     835   05jan2019     5        1   2019   2019w1   2019m1    Saturday |
     |-----------------------------------------------------------------------------|
348. | 348     783   06jan2019     6        1   2019   2019w1   2019m1      Sunday |
349. | 349     570   07jan2019     7        1   2019   2019w1   2019m1      Monday |
350. | 350     782   08jan2019     8        1   2019   2019w2   2019m1     Tuesday |
351. | 351    1161   09jan2019     9        1   2019   2019w2   2019m1   Wednesday |
352. | 352     987   10jan2019    10        1   2019   2019w2   2019m1    Thursday |
     |-----------------------------------------------------------------------------|
353. | 353     878   11jan2019    11        1   2019   2019w2   2019m1      Friday |
354. | 354     711   12jan2019    12        1   2019   2019w2   2019m1    Saturday |
355. | 355     978   13jan2019    13        1   2019   2019w2   2019m1      Sunday |
356. | 356    1127   14jan2019    14        1   2019   2019w2   2019m1      Monday |
357. | 357     813   15jan2019    15        1   2019   2019w3   2019m1     Tuesday |
     |-----------------------------------------------------------------------------|
358. | 358     880   16jan2019    16        1   2019   2019w3   2019m1   Wednesday |
359. | 359    1018   17jan2019    17        1   2019   2019w3   2019m1    Thursday |
360. | 360     611   18jan2019    18        1   2019   2019w3   2019m1      Friday |
361. | 361     643   19jan2019    19        1   2019   2019w3   2019m1    Saturday |
362. | 362     658   20jan2019    20        1   2019   2019w3   2019m1      Sunday |
     |-----------------------------------------------------------------------------|
363. | 363     683   21jan2019    21        1   2019   2019w3   2019m1      Monday |
364. | 364     618   22jan2019    22        1   2019   2019w4   2019m1     Tuesday |
365. | 365     735   23jan2019    23        1   2019   2019w4   2019m1   Wednesday |
366. | 366     715   24jan2019    24        1   2019   2019w4   2019m1    Thursday |
367. | 367     615   25jan2019    25        1   2019   2019w4   2019m1      Friday |
     |-----------------------------------------------------------------------------|
368. | 368     587   26jan2019    26        1   2019   2019w4   2019m1    Saturday |
369. | 369     655   27jan2019    27        1   2019   2019w4   2019m1      Sunday |
370. | 370     734   28jan2019    28        1   2019   2019w4   2019m1      Monday |
371. | 371     612   29jan2019    29        1   2019   2019w5   2019m1     Tuesday |
372. | 372     510   30jan2019    30        1   2019   2019w5   2019m1   Wednesday |
     |-----------------------------------------------------------------------------|
373. | 373     450   31jan2019    31        1   2019   2019w5   2019m1    Thursday |
374. | 374     595   01feb2019     1        2   2019   2019w5   2019m2      Friday |
375. | 375     940   02feb2019     2        2   2019   2019w5   2019m2    Saturday |
376. | 376     571   03feb2019     3        2   2019   2019w5   2019m2      Sunday |
377. | 377     796   04feb2019     4        2   2019   2019w5   2019m2      Monday |
     |-----------------------------------------------------------------------------|
378. | 378     776   05feb2019     5        2   2019   2019w6   2019m2     Tuesday |
379. | 379     559   06feb2019     6        2   2019   2019w6   2019m2   Wednesday |
380. | 380     548   07feb2019     7        2   2019   2019w6   2019m2    Thursday |
381. | 381     611   08feb2019     8        2   2019   2019w6   2019m2      Friday |
382. | 382     623   09feb2019     9        2   2019   2019w6   2019m2    Saturday |
     |-----------------------------------------------------------------------------|
383. | 383     559   10feb2019    10        2   2019   2019w6   2019m2      Sunday |
384. | 384     642   11feb2019    11        2   2019   2019w6   2019m2      Monday |
385. | 385     585   12feb2019    12        2   2019   2019w7   2019m2     Tuesday |
386. | 386     671   13feb2019    13        2   2019   2019w7   2019m2   Wednesday |
387. | 387     649   14feb2019    14        2   2019   2019w7   2019m2    Thursday |
     |-----------------------------------------------------------------------------|
388. | 388     607   15feb2019    15        2   2019   2019w7   2019m2      Friday |
389. | 389     523   16feb2019    16        2   2019   2019w7   2019m2    Saturday |
390. | 390     607   17feb2019    17        2   2019   2019w7   2019m2      Sunday |
391. | 391     565   18feb2019    18        2   2019   2019w7   2019m2      Monday |
392. | 392     637   19feb2019    19        2   2019   2019w8   2019m2     Tuesday |
     |-----------------------------------------------------------------------------|
393. | 393     696   20feb2019    20        2   2019   2019w8   2019m2   Wednesday |
394. | 394     504   21feb2019    21        2   2019   2019w8   2019m2    Thursday |
395. | 395     509   22feb2019    22        2   2019   2019w8   2019m2      Friday |
396. | 396     657   23feb2019    23        2   2019   2019w8   2019m2    Saturday |
397. | 397     608   24feb2019    24        2   2019   2019w8   2019m2      Sunday |
     |-----------------------------------------------------------------------------|
398. | 398     896   25feb2019    25        2   2019   2019w8   2019m2      Monday |
399. | 399     736   26feb2019    26        2   2019   2019w9   2019m2     Tuesday |
400. | 400     553   27feb2019    27        2   2019   2019w9   2019m2   Wednesday |
     +-----------------------------------------------------------------------------+

For days in 2018, please get them there
8188  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 02, 2019, 04:40:15 PM
I would add one more sub-club namely "kissed by Lauda"
LOL, you should create your new own club, not here.
Such kind of sub-club as kissed-by-Lauda club will get support from CH, but I don't support it here.
It is very distracting from the main purposes of the topic, that is giving list of the top earned-merits profiles and their merited threads.
Those cases might be inspirational stories for forum users.
8189  Other / Meta / Re: [TOP-200] Members who support newbies - Thanks! on: March 02, 2019, 04:37:09 PM
even when  looking at the post history as its usually so short.
There are two possible hypotheses:
(1) They are farm accounts. Got promoted from minor merit abusements to move upwards to Junior Member rank.
Then, later they got banned due to plagiarism.
(2) They are real accounts (not farm ones): But, they simply tried making pseudo- / fake- quality threads to earn at least one merit.
Then, later they got banned due to plagiarism.

I don't see reason to sell Junior Member accounts. The most probable scenario is bans due to plagiarism.
8190  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 02, 2019, 04:32:41 PM
It's a boring club, no girls Sad
Haha, it is the right time I raise a big question for you.
You and theymos, are one of outstandings in the forum, in aspect of earned-merits.
So, earning thousands of merits, for what?
It is likely the ever-lasting question, earning or owning too much money for what?
Roll Eyes
8191  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 02, 2019, 04:28:11 PM
Update:

CLUB OF ABOVE 250 MERITS-EARNED

RankUser nameBPIP profileTotal Earned-MeritsTrust
CopperLFC_BitcoinLFC_Bitcoin49020: 0 / +2
Legendaryzazarbzazarb4820: -1 / +23
CopperLeGauloisLeGaulois47837: 0 / +5
Fullpitipawnpitipawn478-4: 4 / +0
SeniorICOEthicsICOEthics47225: 0 / +10
HeroBTCforJoeBTCforJoe47110: 0 / +1
HeroCoding EnthusiastCoding Enthusiast4670: 0 / +0
HeroHeRetiKHeRetiK4640: 0 / +0
SeniorBitCryptexBitCryptex4640: 0 / +0
LegendaryTorqueTorque4610: 0 / +0
Seniorascheasche45739: 0 / +9
Seniormikeywithmikeywith4491: 0 / +1
Senior1miau1miau4436: 0 / +1
Global Moderatorhilariousandcohilariousandco442135: 0 / +15
HeroTheQuinTheQuin4390: 0 / +0
Copperbill gatorbill gator43837: 0 / +10
StaffFlying HellfishFlying Hellfish43617: 0 / +4
Seniortaikuri13taikuri134352: 0 / +1
Herod_eddied_eddie4330: 0 / +0
Seniorpandukelana2712pandukelana27124320: 0 / +0
Herobitservebitserve4310: 0 / +0
Legendarypooya87pooya8742510: 0 / +1
Legendaryactmynameactmyname424114: 0 / +13
StaffWelshWelsh42137: 0 / +4
Legendarymocacinnomocacinno4170: 0 / +0
Legendaryyahoo62278yahoo62278417112: 0 / +12
HeroLafuLafu41142: 0 / +6
Senioresmanthraesmanthra4081: 0 / +1
HeroSmart manSmart man4050: 0 / +0
HeroGoran_Goran_3950: 0 / +0
LegendaryTheNewAnon135246TheNewAnon135246393242: 0 / +26
LegendaryDannyHamiltonDannyHamilton391150: 0 / +15
Herostompixstompix3880: 0 / +0
HeroPmalekPmalek3860: 0 / +0
Seniormorvillz7zmorvillz7z3820: 0 / +0
Legendaryfranky1franky1379-8: -3 / +0
Seniordeeperxdeeperx373-2: -1 / +0
Seniorvit05vit053660: 0 / +0
LegendaryQuestionAuthorityQuestionAuthority3650: 0 / +0
Legendaryd5000d50003630: 0 / +0
Seniorexplorderexplorder3630: 0 / +0
SeniorVeleorVeleor3601: 0 / +1
Legendarybones261bones2613581: 0 / +2
Heroeddie13eddie1335520: 0 / +2
StaffXal0lexXal0lex3532: 0 / +1
VIPHalHal35220: 0 / +2
Heroromanornrromanornr35030: 0 / +3
Seniormfort312mfort3123480: 0 / +0
Heroaliashrafaliashraf3450: 0 / +0
Coppermdayonlinermdayonliner344-7: -3 / +1
Heropoptoppoptop3410: 0 / +0
Legendarypugmanpugman3400: 0 / +0
LegendaryElwarElwar3390: 0 / +0
Legendarysidehacksidehack33470: 0 / +7
Legendaryibmineribminer33147: 0 / +5
Herogawleagawlea3290: 0 / +0
Legendarynutildahnutildah3290: 0 / +0
Seniorpaxmaopaxmao3290: 0 / +0
CopperQuicksellerQuickseller328-8175: -13 / +17
LegendaryFoxpupFoxpup3220: 0 / +0
Herobuwaytressbuwaytress31717: 0 / +2
Herosabotag3xsabotag3x31710: 0 / +1
SeniorCoin-1Coin-13140: 0 / +0
Seniorhugeblackhugeblack30920: 0 / +2
Heromstfprcnmstfprcn30310: 0 / +1
Global Moderatormprepmprep30368: 0 / +7
Heromjglqwmjglqw3020: 0 / +0
Legendaryyoggyogg302154: 0 / +17
SeniorAlyattesLydiaAlyattesLydia2990: 0 / +0
Legendaryseoincorporationseoincorporation2970: 0 / +0
LegendaryHagssFINHagssFIN29620: 0 / +2
HeronullCoinernullCoiner2930: 0 / +0
Seniorr1s2g3r1s2g32890: 0 / +0
Seniortvplus006tvplus0062890: 0 / +0
HeroMatthias9515Matthias95152880: 0 / +0
SeniorRichDanielRichDaniel283-2: -1 / +0
Coppershorenashorena2800: -1 / +15
Legendaryarulberoarulbero2806: 0 / +1
DonatorClaymoreClaymore27710: 0 / +1
Seniorvlad230vlad2302760: 0 / +0
Herotonychtonych27510: 0 / +1
Legendary1Referee1Referee27540: 0 / +4
Legendaryby rallierby rallier2750: 0 / +0
SeniorXyneriseXynerise2730: 0 / +0
CopperLimx DevLimx Dev27140: 0 / +4
Seniorkirreev070kirreev0702670: 0 / +0
Legendarymindrustmindrust2660: 0 / +0
LegendaryGlobb0Globb02640: 0 / +0
Fullzentdexzentdex2640: 0 / +0
FullS_TherapistS_Therapist263-16: -4 / +0
SeniorAverageGlabellaAverageGlabella2620: 0 / +0
LegendarycAPSLOCKcAPSLOCK2610: 0 / +0
Herozonefloorzonefloor2590: 0 / +0
Seniormithrimmithrim2590: 0 / +0
Heroalex bondalex bond2580: 0 / +0
HeroRaja_MBZRaja_MBZ2580: 0 / +0
LegendaryDooMADDooMAD2580: 0 / +0
Seniorchimkchimk2560: 0 / +0
Seniorgoldkingcoinergoldkingcoiner2560: 0 / +0
Seniorathanz88athanz882550: 0 / +0
HeroWind_FURYWind_FURY2530: 0 / +0
HeroKryptowerkKryptowerk25288: 0 / +14
Seniortrantute2trantute22520: 0 / +0
HeroRuSS512RuSS5122510: 0 / +0
Herosaulzaentssaulzaents25110: 0 / +1
CopperDireWolfM14DireWolfM142519: 0 / +3


Source:
(1) https://bitcointalk.org/index.php?topic=5115154.msg49984684#msg49984684
(2) https://bitcointalk.org/index.php?topic=5115154.msg49984691#msg49984691
8192  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 02, 2019, 04:23:51 PM
Update:

CLUB OF ABOVE 500 MERITS-EARNED

RankUser nameBPIP profileTotal Earned-MeritsTrust
HeroPiggyPiggy9600: 0 / +0
Legendaryxhomerx10xhomerx1095710: 0 / +1
HeroHairyMaclairyHairyMaclairy9430: 0 / +0
Herokrogothmanhattankrogothmanhattan868371: 0 / +43
LegendaryTMANTMAN8658: -3 / +24
Herojoniboinijoniboini8510: 0 / +0
LegendaryLaudaLauda8473: -1 / +30
Donatorqwkqwk843118: 0 / +14
Heroiasenkoiasenko80110: 0 / +3
LegendaryBobLawblawBobLawblaw7971: 0 / +1
Coppernulliusnullius7710: -1 / +3
CopperLutpinLutpin7680: -1 / +33
Seniorabhiseshakanaabhiseshakana7060: 0 / +0
Seniorcoinlocket$coinlocket$68613: 0 / +4
Legendarymarlborozamarlboroza67038: 0 / +7
LegendaryHhampuzHhampuz661319: 0 / +33
Seniorbitmoverbitmover6510: 0 / +0
Legendaryjojo69jojo696460: 0 / +0
LegendaryHCPHCP63017: 0 / +2
LegendaryDarkStar_DarkStar_620227: 0 / +27
Legendaryinfofrontinfofront6060: 0 / +0
Seniortheyoungmillionairetheyoungmillionaire60410: 0 / +3
LegendaryJayJuanGeeJayJuanGee6003: 0 / +1
DonatorOgNastyOgNasty58818: -3 / +62
Herobob123bob1235816: 0 / +1
LegendaryETFbitcoinETFbitcoin5750: 0 / +0
Coppermu_enricomu_enrico5690: 0 / +0
Seniormole0815mole08155648: 0 / +2
Legendarygentlemandgentlemand5580: 0 / +0
Legendaryphilipma1957philipma1957556199: 0 / +20
Heroroycilikroycilik5562: 0 / +2
SeniorAlex_SrAlex_Sr5440: 0 / +0
CopperCoolcryptovatorCoolcryptovator5428: 0 / +6
LegendaryTryNinjaTryNinja5370: 0 / +0
LegendaryCarlton BanksCarlton Banks53510: 0 / +1
Copperminerjonesminerjones532690: 0 / +74
Herokenzawakkenzawak5250: 0 / +0
HeroToxic2040Toxic20405240: 0 / +0
SeniorGameKyuubiGameKyuubi5215: 0 / +2
LegendarySaltySpitoonSaltySpitoon514200: 0 / +20
HeroSteamtymeSteamtyme51028: 0 / +4
HeroPHI1618PHI16185100: 0 / +0
Seniorsnccsncc5040: 0 / +0
SeniorHusna QAHusna QA5000: 0 / +0


Source: https://bitcointalk.org/index.php?topic=5115154.msg49984684#msg49984684
8193  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 02, 2019, 04:19:55 PM
Update:

CLUB OF ABOVE 1000 MERITS-EARNED

RankUser nameBPIP profileTotal Earned-MeritsTrust
SeniorDdmrDdmrDdmrDdmr18462: 0 / +1
Foundersatoshisatoshi1696205: 0 / +24
Legendarysuchmoonsuchmoon168249: 0 / +8
Heromicgoossensmicgoossens150827: 0 / +6
LegendaryThe PharmacistThe Pharmacist1493158: 0 / +18
LegendaryLast of the V8sLast of the V8s1377-2: -1 / +0
Legendaryhilariousetchilariousetc135920: 0 / +2
Heroo_e_l_e_oo_e_l_e_o13321: 0 / +2
Staffachow101achow101110550: 0 / +5
LegendaryJet CashJet Cash104126: 0 / +4
Staffgmaxwellgmaxwell1021149: 0 / +15
Heroxtraelvxtraelv100621: 0 / +3
LegendaryVodVod10020: -1 / +24


Source: https://bitcointalk.org/index.php?topic=5115154.msg49984684#msg49984684
8194  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 02, 2019, 04:16:19 PM
Update:
CLUB OF ABOVE 2000 MERITS-EARNED

RankUser nameBPIP profileTotal Earned-MeritsTrust
Administratortheymostheymos4009200: 0 / +22
LegendaryLoyceVLoyceV202675: 0 / +12


Source: https://bitcointalk.org/index.php?topic=5115154.msg49984684#msg49984684
8195  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 02, 2019, 04:15:19 PM
I've got you an update. If you get me a list of changes you want (replacing words like Hero Member by Hero for instance), I'll do that for you next time.
< ... >
Of course, it is really good if you do it.
I believe it is very simple for you, Mr. AI ^^
Replacing those labels is a simple step.

The problem is why I replaced labels is I don't know what happened with table's format. I tried to used different figures of width option, none of them worked, so I adjust those labels shorter a little bit.
8196  Other / Meta / Re: Who exactly told theymos to change the threshold to 250 cycled merits? on: March 02, 2019, 04:12:08 PM
To be honest, as usual, CH makes a very long threads, but I felt really hard to catch his ideas.
I appreciated his time to compose those threads, but I strongly think that next time he should make shorter threads that should better concentrate on main ideas.
8197  Other / Beginners & Help / Re: [Guide] Factors to consider before joining paid signature campaigns. on: March 02, 2019, 08:17:54 AM
I think I have something informative to contribute here
For
Quote
[6] Know the project well before advertising.
I already have a project on that one.
Guide on avoid red tags by supporting already known scam projects
It is very terrible to keep supporting scam projects, especially when DT members or community raised warning or scam accusation everywhere.
8198  Alternate cryptocurrencies / Announcements (Altcoins) / Re: [ANN] [PoS/MN] Gentarium (GTM) | Masternode hosting platform | Shared MN service on: March 02, 2019, 08:07:50 AM
What cause yesterday drops of Gentarium?
I felt satisfied with my decision to fastly caught cheap Gentarium yesterday, but I still wanted to know why GTM fell like this.
Masternode investors cashed out or something relates to technical aspect of Gentarium platform.
I tend to fall into the first theory, masternode investors cashed out.
8199  Other / Meta / Re: [TOP-200] Members who support newbies - Thanks! on: March 02, 2019, 07:51:06 AM
As I see, 882 supported newbies are already banned.
Those are huge numbers! Now I'm curious who merited most banned Newbies, I'll dig up some data later.
Let me guess.
Account farmers sent sMerits to Newbies to promote them to Junior Members to join bounties.
Due to they are account farmers, they violated forum rules, such as plagiarism, then got banned later.

Of course, we need to look at data-evidence-based statistics.
For analysis, before digging deeply, I think you should take a quick analysis on their promoted days.
If most of newbies promoted in September last year, there is no reason to dig deeper.
I believe most of them promoted and got bans in September last year
Grin
8200  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 02, 2019, 07:43:21 AM
I am not sure what happened with zentdex, who published several topics on merit and forum analysis last year.
Then, he/ she turned off for months, and come back in last month of 2018.
Not sure, why did he/she turned on back, account changed hands, or something different.
I guess there are two potential reasons of his ban:
- Plagiarism (that I don't think he/ she violated).
- Account changed hands.
zentdex's BPIP shows Auto Banned.
Additionally, zentdex
Quote
Has at least 48 sMerit available
It is one of very bad ways to destroy sMerits.
Am I seeing this right? zentdex has been banned?

Sure, months later you will appear in the list, I believe.
I have moved closer to the club of above 250 earned-merits users.
Quote
As for the OP:

now we have another clubs to join, didn't seem like it for I'm a bit short Tongue ... Might be a good thing if I can see my name on that list haha (jk)
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