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7921  Other / Meta / Re: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) on: March 17, 2019, 12:26:21 PM
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 643, respectively; whislt the lowest days are Friday, Sunday, and Saturday at 554, 608, and 614, respectively.
- In means, the highest days are Monday, Wednesday, and Sunday at 742, 713, and 699, respectively; whilst the lowest days are Friday, Saturday, and Thursday at 614, 625, and 669, respectively.
- In both medians and means, Monday is the highest day, whilst the lowest day is Friday.

Calendar day is in GMT time.
Quote from: LoyceV on January 04, 2019, 04:10:19 PM
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 |      55.0     698.6     323.8     608.0     486.0     804.0     389.0    2463.0
   Monday |      56.0     741.5     290.2     666.0     563.5     815.0     312.0    1862.0
  Tuesday |      55.0     694.4     222.2     628.0     580.0     767.0     383.0    1326.0
Wednesday |      55.0     712.4     214.8     654.0     558.0     761.0     435.0    1268.0
 Thursday |      55.0     668.5     217.0     643.0     509.0     764.0     347.0    1333.0
   Friday |      55.0     613.6     222.4     554.0     479.0     698.0     348.0    1696.0
 Saturday |      55.0     624.7     214.9     614.0     461.0     695.0     316.0    1409.0
----------+--------------------------------------------------------------------------------
    Total |     386.0     679.3     249.0     623.0     521.0     764.0     312.0    2463.0
-------------------------------------------------------------------------------------------

Box plots
Outliers displayed as red circles.

Outliers non-displayed.
7922  Other / Meta / Re: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) on: March 17, 2019, 12:23:29 PM
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    16   08feb2018    Thursday     8        2   2018    2018w6    2018m2 |
     |-------------------------------------------------------------------------------|
 16. |  2141    15   07feb2018   Wednesday     7        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   342   31dec2018      Monday    31       12   2018   2018w52   2018m12 |
  9. |   376   191   02aug2018    Thursday     2        8   2018   2018w31    2018m8 |
 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. |   412   403   02mar2019    Saturday     2        3   2019    2019w9    2019m3 |
 24. |   415   278   28oct2018      Sunday    28       10   2018   2018w43   2018m10 |
 25. |   415   109   12may2018    Saturday    12        5   2018   2018w19    2018m5 |
     |-------------------------------------------------------------------------------|
 26. |   418   186   28jul2018    Saturday    28        7   2018   2018w30    2018m7 |
 27. |   420   187   29jul2018      Sunday    29        7   2018   2018w30    2018m7 |
 28. |   421   192   03aug2018      Friday     3        8   2018   2018w31    2018m8 |
 29. |   422   140   12jun2018     Tuesday    12        6   2018   2018w24    2018m6 |
 30. |   424   313   02dec2018      Sunday     2       12   2018   2018w48   2018m12 |
     |-------------------------------------------------------------------------------|
 31. |   424   276   26oct2018      Friday    26       10   2018   2018w43   2018m10 |
 32. |   426   277   27oct2018    Saturday    27       10   2018   2018w43   2018m10 |
 33. |   430   264   14oct2018      Sunday    14       10   2018   2018w41   2018m10 |
 34. |   430   284   03nov2018    Saturday     3       11   2018   2018w44   2018m11 |
 35. |   432   221   01sep2018    Saturday     1        9   2018   2018w35    2018m9 |
     |-------------------------------------------------------------------------------|
 36. |   432   208   19aug2018      Sunday    19        8   2018   2018w33    2018m8 |
 37. |   433   282   01nov2018    Thursday     1       11   2018   2018w44   2018m11 |
 38. |   435   154   26jun2018     Tuesday    26        6   2018   2018w26    2018m6 |
 39. |   435   190   01aug2018   Wednesday     1        8   2018   2018w31    2018m8 |
 40. |   444   182   24jul2018     Tuesday    24        7   2018   2018w30    2018m7 |
     |-------------------------------------------------------------------------------|
 41. |   445   143   15jun2018      Friday    15        6   2018   2018w24    2018m6 |
 42. |   450   373   31jan2019    Thursday    31        1   2019    2019w5    2019m1 |
 43. |   451   206   17aug2018      Friday    17        8   2018   2018w33    2018m8 |
 44. |   454   283   02nov2018      Friday     2       11   2018   2018w44   2018m11 |
 45. |   455   167   09jul2018      Monday     9        7   2018   2018w28    2018m7 |
     |-------------------------------------------------------------------------------|
 46. |   455   229   09sep2018      Sunday     9        9   2018   2018w36    2018m9 |
 47. |   457   216   27aug2018      Monday    27        8   2018   2018w35    2018m8 |
 48. |   458   324   13dec2018    Thursday    13       12   2018   2018w50   2018m12 |
 49. |   458   227   07sep2018      Friday     7        9   2018   2018w36    2018m9 |
 50. |   460   263   13oct2018    Saturday    13       10   2018   2018w41   2018m10 |
     |-------------------------------------------------------------------------------|

During the period from 24/1/2018 to 11/3/2019, the minimum and maximum of intra-day merits are 312 and 13018 , on 24/12/2018 and 24/1/2018, respectively.
7923  Other / Meta / Re: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) on: March 17, 2019, 12:19:32 PM
Time-series plots:
Full dataset:

Truncated dataset:

Basic statistics:
Full 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 |     410.0     776.5     507.5     637.5     526.0     797.0     312.0    4493.0
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 120 or 1204.
There are 41 outliers in full dataset, in total.
Those days are:
Code:
. count if (merit >= 1204 | merit <= 120) & merit != .
  41

. list id merit date if (merit >= 1204 | merit <= 120) & 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 |
     |-------------------------|
 55. |  57    1227   21mar2018 |
 66. |  68    1233   01apr2018 |
234. | 236    2463   16sep2018 |
235. | 237    1862   17sep2018 |
236. | 238    1294   18sep2018 |
     |-------------------------|
237. | 239    1268   19sep2018 |
     +-------------------------+
None of them occured in 2019.

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 |     386.0     679.3     249.0     623.0     521.0     764.0     312.0    2463.0
----------------------------------------------------------------------------------------------
Applied same formulas I used in earlier analyses, potential outliers are days have intra-day merits beyond 157 or 1129.
There are 24 outliers in total, only one of them occured in 2019, on 09/1/2019 with 1161 merits on that day.
None of them occured in the last week.
Code:
. count if (merit >= 1129 | merit <= 157) & merit != .
  24

. list id merit date if (merit >= 1129| merit <= 157) & 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 |
 25. |  51    1130   15mar2018 |
 30. |  56    1322   20mar2018 |
     |-------------------------|
 31. |  57    1227   21mar2018 |
 42. |  68    1233   01apr2018 |
 43. |  69    1146   02apr2018 |
127. | 153    1138   25jun2018 |
210. | 236    2463   16sep2018 |
     |-------------------------|
211. | 237    1862   17sep2018 |
212. | 238    1294   18sep2018 |
213. | 239    1268   19sep2018 |
325. | 351    1161   09jan2019 |
     +-------------------------+
7924  Other / Meta / Re: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) on: March 17, 2019, 12:10:04 PM
Update:

Converted intra-day merits for days 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 |
401. | 401     707   28feb2019    28        2   2019    2019w9   2019m2    Thursday |
402. | 402     508   01mar2019     1        3   2019    2019w9   2019m3      Friday |
     |------------------------------------------------------------------------------|
403. | 403     412   02mar2019     2        3   2019    2019w9   2019m3    Saturday |
404. | 404    1001   03mar2019     3        3   2019    2019w9   2019m3      Sunday |
405. | 405     708   04mar2019     4        3   2019    2019w9   2019m3      Monday |
406. | 406     677   05mar2019     5        3   2019   2019w10   2019m3     Tuesday |
407. | 407     787   06mar2019     6        3   2019   2019w10   2019m3   Wednesday |
     |------------------------------------------------------------------------------|
408. | 408     711   07mar2019     7        3   2019   2019w10   2019m3    Thursday |
409. | 409     712   08mar2019     8        3   2019   2019w10   2019m3      Friday |
410. | 410     723   09mar2019     9        3   2019   2019w10   2019m3    Saturday |
411. | 411     656   10mar2019    10        3   2019   2019w10   2019m3      Sunday |
412. | 412     635   11mar2019    11        3   2019   2019w10   2019m3      Monday |
     |------------------------------------------------------------------------------|
413. | 413     680   12mar2019    12        3   2019   2019w11   2019m3     Tuesday |
414. | 414     687   13mar2019    13        3   2019   2019w11   2019m3   Wednesday |
     +------------------------------------------------------------------------------+

For days in 2018, please get it there
7925  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 17, 2019, 12:03:11 PM
Fristly, I thank you so much, one more week you made great works to help me update my clubs, and your detailed notes.
Secondly, I am proud of myself to appear in the last club, eventually, after months of hard works.
Thirdly, I believe that next week, the club that you have been in will become more crowded with appearance of @DdmrDdmr.
My next target is the second club from the bottom, club of above 500 merits-earned users.
7926  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 17, 2019, 11:59:24 AM
CLUB OF ABOVE 250 MERITS-EARNED

RankUser nameBPIP profileTotal Earned-MeritsTrust
Seniortaikuri13taikuri134872: 0 / +1
Seniorascheasche48740: 0 / +8
Legendaryzazarbzazarb4820: -1 / +23
Fullpitipawnpitipawn478-4: 4 / +0
Legendarymocacinnomocacinno4770: 0 / +0
Legendarypooya87pooya8747710: 0 / +1
HeroBTCforJoeBTCforJoe47110: 0 / +1
StaffFlying HellfishFlying Hellfish46812: 0 / +3
LegendaryTorqueTorque4630: 0 / +0
Legendaryyahoo62278yahoo62278459112: 0 / +13
Global Moderatorhilariousandcohilariousandco449137: 0 / +16
Herobitservebitserve4482: 0 / +1
Copperbill gatorbill gator44538: 0 / +9
Herod_eddied_eddie4400: 0 / +0
HeroTheQuinTheQuin4390: 0 / +0
HeroLafuLafu43653: 0 / +7
HeroVeleorVeleor4323: 0 / +2
Legendaryactmynameactmyname430106: 0 / +12
StaffWelshWelsh42738: 0 / +4
HeroGoran_Goran_4270: 0 / +0
Legendarybones261bones2614263: 0 / +3
HeroPmalekPmalek4250: 0 / +0
Herostompixstompix4230: 0 / +0
Legendarynutildahnutildah4150: 0 / +0
Senioresmanthraesmanthra4122: 0 / +1
HeroSmart manSmart man4060: 0 / +0
Seniormorvillz7zmorvillz7z4050: 0 / +0
Heroromanornrromanornr40030: 0 / +3
StaffXal0lexXal0lex3942: 0 / +1
LegendaryDannyHamiltonDannyHamilton391150: 0 / +15
Legendaryfranky1franky1390-8: -3 / +0
Seniorvit05vit053780: 0 / +0
VIPHalHal37520: 0 / +2
Legendaryd5000d50003740: 0 / +0
Seniordeeperxdeeperx373-2: -1 / +0
LegendaryQuestionAuthorityQuestionAuthority3650: 0 / +0
Seniorexplorderexplorder3630: 0 / +0
HeronullCoinernullCoiner3620: 0 / +0
Heroeddie13eddie1335610: 0 / +1
SeniorCoin-1Coin-13540: 0 / +0
Seniormdayonlinermdayonliner352-6: -3 / +2
LegendaryElwarElwar3500: 0 / +0
LegendaryFoxpupFoxpup3500: 0 / +0
Heropoptoppoptop3490: 0 / +0
Heroaliashrafaliashraf3480: 0 / +0
Seniormfort312mfort3123480: 0 / +0
CopperQuicksellerQuickseller347-8176: -13 / +16
Seniortvplus006tvplus0063460: 0 / +0
Herobuwaytressbuwaytress34118: 0 / +2
Legendarypugmanpugman3410: 0 / +0
Seniorhugeblackhugeblack33920: 0 / +2
Legendarysidehacksidehack33770: 0 / +7
Legendaryibmineribminer33248: 0 / +5
Heromjglqwmjglqw3310: 0 / +0
Seniorpaxmaopaxmao3300: 0 / +0
Herogawleagawlea3290: 0 / +0
Herosabotag3xsabotag3x32810: 0 / +1
Legendaryseoincorporationseoincorporation3220: 0 / +0
Legendaryyoggyogg321133: 0 / +14
Global Moderatormprepmprep32069: 0 / +7
Seniorcryptovigicryptovigi3160: 0 / +0
SeniorHeisenberg_HunterHeisenberg_Hunter3130: 0 / +0
LegendaryHagssFINHagssFIN30920: 0 / +2
Seniormithrimmithrim3090: 0 / +0
Heromstfprcnmstfprcn30310: 0 / +1
CopperDireWolfM14DireWolfM1430010: 0 / +4
Legendarymindrustmindrust3000: 0 / +0
SeniorAlyattesLydiaAlyattesLydia2990: 0 / +0
FullVB1001VB10012970: 0 / +0
Seniorr1s2g3r1s2g32950: 0 / +0
HeroRaja_MBZRaja_MBZ2940: 0 / +0
HeroMatthias9515Matthias95152880: 0 / +0
SeniorCryptopreneurBrainbossCryptopreneurBrainboss2870: 0 / +0
Legendaryarulberoarulbero2866: 0 / +1
Coppershorenashorena2850: -1 / +14
LegendaryGlobb0Globb02842: 0 / +1
HeroKryptowerkKryptowerk28392: 0 / +16
SeniorRichDanielRichDaniel283-2: 1 / +0
Seniorlovesmayfamilislovesmayfamilis2820: 0 / +1
Legendary1Referee1Referee28140: 0 / +4
Seniorchimkchimk2810: 0 / +0
Legendarytmfptmfp28050: 0 / +6
LegendaryLesbian CowLesbian Cow279266: 0 / +30
Seniornc50lcnc50lc2790: 0 / +0
DonatorClaymoreClaymore27810: 0 / +1
Herotonychtonych27610: 0 / +1
Seniorvlad230vlad2302760: 0 / +0
Legendaryby rallierby rallier2750: 0 / +0
SeniorXyneriseXynerise2750: 0 / +0
SeniorAverageGlabellaAverageGlabella2740: 0 / +0
LegendarycAPSLOCKcAPSLOCK2730: 0 / +0
CopperLimx DevLimx Dev27140: 0 / +4
LegendaryDooMADDooMAD2690: 0 / +0
FullArtemis3Artemis32680: 0 / +0
Seniorkirreev070kirreev0702680: 0 / +0
FullS_TherapistS_Therapist265-8: -3 / +0
Senioranonymousmineranonymousminer26558: 0 / +10
Fullzentdexzentdex2640: 0 / +0
HeroAdolfinWolfAdolfinWolf2600: 0 / +0
Seniortranthidungtranthidung2600: 0 / +0
Herozonefloorzonefloor2590: 0 / +0
SeniorTrofoTrofo2590: 0 / +0
Heroalex bondalex bond2580: 0 / +0
HeroWind_FURYWind_FURY2580: 0 / +0
LegendaryPaashaasPaashaas2580: 0 / +0
Coppershasanshasan25722: 0 / +5
Seniorgoldkingcoinergoldkingcoiner2560: 0 / +0
Seniortrantute2trantute22550: 0 / +0
Seniorathanz88athanz882550: 0 / +0
Legendaryodolvloboodolvlobo25410: 0 / +1
Seniorcrypmikecrypmike2540: 0 / +0
SeniorScheedeScheede2540: 0 / +0
LegendaryEcuaMobiEcuaMobi253152: 0 / +16
HeroRuSS512RuSS5122510: 0 / +0
Herosaulzaentssaulzaents251-3: 2 / +1

Notes:
- Hero: Hero Member
- Senior: Senior Member
- Copper: Copper Member
- banned: banned accounts.


Source:
https://bitcointalk.org/index.php?topic=5115154.msg50279185#msg50279185
https://bitcointalk.org/index.php?topic=5115154.msg50279190#msg50279190
7927  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 17, 2019, 11:56:23 AM
CLUB OF ABOVE 500 MERITS-EARNED

RankUser nameBPIP profileTotal Earned-MeritsTrust
Legendaryxhom`erx10xhomerx1099014: 0 / +2
HeroPiggyPiggy9840: 0 / +0
HeroHairyMaclairyHairyMaclairy9683: 0 / +2
Herokrogothmanhattankrogothmanhattan874350: 0 / +42
Herojoniboinijoniboini8730: 0 / +0
LegendaryTMANTMAN8656: -3 / +21
Donatorqwkqwk853110: 0 / +14
LegendaryLaudaLauda8523: -1 / +30
Heroiasenkoiasenko83011: 0 / +3
LegendaryBobLawblawBobLawblaw8185: 0 / +2
Herocoinlocket$coinlocket$77816: 0 / +5
Seniorabhiseshakanaabhiseshakana7760: 0 / +0
Coppernulliusnullius7710: -1 / +3
CopperLutpinLutpin7680: -1 / +31
LegendaryHCPHCP74017: 0 / +2
LegendaryHhampuzHhampuz725310: 0 / +32
Legendarymarlborozamarlboroza69140: 0 / +7
Legendaryjojo69jojo696720: 0 / +0
SeniorAlex_SrAlex_Sr6700: 0 / +0
Seniorbitmoverbitmover6610: 0 / +0
LegendaryDarkStar_DarkStar_643245: 0 / +29
LegendaryJayJuanGeeJayJuanGee6325: 0 / +2
Seniortheyoungmillionairetheyoungmillionaire63210: 0 / +3
LegendaryETFbitcoinETFbitcoin6210: 0 / +1
HeroBitCryptexBitCryptex6120: 0 / +0
Legendaryinfofrontinfofront6100: 0 / +0
DonatorOgNastyOgNasty60917: -4 / +60
Heroroycilikroycilik6032: 0 / +2
Coppermu_enricomu_enrico5970: 0 / +0
Legendaryphilipma1957philipma1957586209: 0 / +21
Herobob123bob1235817: 0 / +1
HeroSteamtymeSteamtyme58031: 0 / +4
Legendarygentlemandgentlemand5790: 0 / +0
LegendaryTryNinjaTryNinja5720: 0 / +0
Senior1miau1miau5696: 0 / +1
Seniormole0815mole08155698: 0 / +2
CopperCoolcryptovatorCoolcryptovator56811: 0 / +6
Herokenzawakkenzawak5650: 0 / +1
LegendarySaltySpitoonSaltySpitoon562200: 0 / +20
HeroToxic2040Toxic20405600: 0 / +0
LegendaryCarlton BanksCarlton Banks55810: 0 / +1
Copperminerjonesminerjones548635: 0 / +70
Seniormikeywithmikeywith5461: 0 / +1
CopperLFC_BitcoinLFC_Bitcoin53250: 0 / +9
SeniorGameKyuubiGameKyuubi5216: 0 / +2
SeniorHusna QAHusna QA5180: 0 / +0
HeroPHI1618PHI16185160: 0 / +0
LegendaryHeRetiKHeRetiK5080: 0 / +0
Seniorsnccsncc5040: 0 / +0
CopperLeGauloisLeGaulois50236: 0 / +4
LegendaryTheNewAnon135246TheNewAnon135246501224: 0 / +24

Notes:
- Hero: Hero Member
- Senior: Senior Member
- Copper: Copper Member
- banned: banned accounts.

Source: https://bitcointalk.org/index.php?topic=5115154.msg50184337#msg50184337
7928  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 17, 2019, 11:53:19 AM
CLUB OF ABOVE 1000 MERITS-EARNED

RankUser nameBPIP profileTotal Earned-MeritsTrust
SeniorDdmrDdmrDdmrDdmr19222: 0 / +1
Legendarysuchmoonsuchmoon173853: 0 / +11
Foundersatoshisatoshi1698198: 0 / +23
LegendaryThe PharmacistThe Pharmacist1555163: 0 / +19
Heromicgoossensmicgoossens154836: 0 / +11
LegendaryLast of the V8sLast of the V8s14361: -1 / +2
Heroo_e_l_e_oo_e_l_e_o14173: 0 / +2
Legendaryhilariousetchilariousetc140325: 0 / +3
Staffachow101achow101114350: 0 / +5
LegendaryJet CashJet Cash110327: 0 / +4
Staffgmaxwellgmaxwell1089150: 0 / +15
LegendaryVodVod10440: -1 / +24
Heroxtraelvxtraelv101822: 0 / +3

Notes:
- Hero: Hero Member
- Senior: Senior Member
- Copper: Copper Member
- banned: banned accounts.

Source: https://bitcointalk.org/index.php?topic=5115154.msg50184337#msg50184337
7929  Other / Meta / Re: [CLUBS] Top Merited-Users Classified into 4 Clubs on: March 17, 2019, 11:50:41 AM
Update:
CLUB OF ABOVE 2000 MERITS-EARNED

RankUser nameBPIP profileTotal Earned-MeritsTrust
Administratortheymostheymos4050202: 0 / +22
LegendaryLoyceVLoyceV216486: 0 / +14

Source:https://bitcointalk.org/index.php?topic=5115154.msg50184337#msg50184337
7930  Other / Meta / Re: What topics do you want to see here, and where should they be posted? on: March 15, 2019, 10:54:01 AM
For me, I want to see a list of biggest wars in the forum.
Such as wars between DT members and red-trusters, as well as war between admin and forum users due to sudden changes in forum rules.
Something like War Accusation, including merit, trust, and so on.
7931  Other / Meta / Re: Bitcointalk.org did it into the big cryptomedia today.... on: March 15, 2019, 10:42:00 AM
Quote from: KingScorpio on March 15, 2019, 10:34:26 AM
can you pls put the time correct bitcoin price as second lines of those diagrams would be nice to research the correlation between the community and the bitcoin price/market support
Sure, I can do it, but the problem is I have to manually trace back the historical price of bitcoin, enter data points manually, then draw the time series plot.
I don't have intention to manually do it, it is so much work to do.
You can open the bitcoin price chart, copy & paste it into Paint, then see the two charts (mine & bitcoin's monthly price chart, I meant), to see what you wanted.  Tongue
If you can give me price of bitcoin at following time points, I will plot new time series for you.
There are points on which theymos scrapped data
Quote from: theymos on February 17, 2019, 04:01:03 PM
Code:
+---------------------+---------------+
| 30day starting      | registrations |
+---------------------+---------------+
| 2009-11-02 00:00:00 |             3 |
| 2009-12-02 00:00:00 |             8 |
| 2010-01-01 00:00:00 |             8 |
| 2010-01-31 00:00:00 |            22 |
| 2010-03-02 00:00:00 |             5 |
| 2010-04-01 00:00:00 |            22 |
| 2010-05-01 00:00:00 |            15 |
| 2010-05-31 00:00:00 |            33 |
| 2010-06-30 00:00:00 |           325 |
| 2010-07-30 00:00:00 |           159 |
| 2010-08-29 00:00:00 |           148 |
| 2010-09-28 00:00:00 |           190 |
| 2010-10-28 00:00:00 |           204 |
| 2010-11-27 00:00:00 |           383 |
| 2010-12-27 00:00:00 |           384 |
| 2011-01-26 00:00:00 |           938 |
| 2011-02-25 00:00:00 |          2202 |
| 2011-03-27 00:00:00 |          2737 |
| 2011-04-26 00:00:00 |          4936 |
| 2011-05-26 00:00:00 |         14048 |
| 2011-06-25 00:00:00 |          6250 |
| 2011-07-25 00:00:00 |          3903 |
| 2011-08-24 00:00:00 |          2938 |
| 2011-09-23 00:00:00 |          1983 |
| 2011-10-23 00:00:00 |          1965 |
| 2011-11-22 00:00:00 |          1835 |
| 2011-12-22 00:00:00 |          1812 |
| 2012-01-21 00:00:00 |          2082 |
| 2012-02-20 00:00:00 |          1901 |
| 2012-03-21 00:00:00 |          2158 |
| 2012-04-20 00:00:00 |          1969 |
| 2012-05-20 00:00:00 |          2057 |
| 2012-06-19 00:00:00 |          2040 |
| 2012-07-19 00:00:00 |          2145 |
| 2012-08-18 00:00:00 |          2419 |
| 2012-09-17 00:00:00 |          2661 |
| 2012-10-17 00:00:00 |          2958 |
| 2012-11-16 00:00:00 |          2763 |
| 2012-12-16 00:00:00 |          2611 |
| 2013-01-15 00:00:00 |          3320 |
| 2013-02-14 00:00:00 |          4933 |
| 2013-03-16 00:00:00 |         13816 |
| 2013-04-15 00:00:00 |         18162 |
| 2013-05-15 00:00:00 |         11318 |
| 2013-06-14 00:00:00 |          8095 |
| 2013-07-14 00:00:00 |          6703 |
| 2013-08-13 00:00:00 |          5505 |
| 2013-09-12 00:00:00 |          4137 |
| 2013-10-12 00:00:00 |          5632 |
| 2013-11-11 00:00:00 |         26804 |
| 2013-12-11 00:00:00 |         28776 |
| 2014-01-10 00:00:00 |         29576 |
| 2014-02-09 00:00:00 |         29839 |
| 2014-03-11 00:00:00 |         22534 |
| 2014-04-10 00:00:00 |         18065 |
| 2014-05-10 00:00:00 |         13071 |
| 2014-06-09 00:00:00 |         12180 |
| 2014-07-09 00:00:00 |         10561 |
| 2014-08-08 00:00:00 |         10925 |
| 2014-09-07 00:00:00 |          9418 |
| 2014-10-07 00:00:00 |          8218 |
| 2014-11-06 00:00:00 |          7974 |
| 2014-12-06 00:00:00 |          8136 |
| 2015-01-05 00:00:00 |         23256 |
| 2015-02-04 00:00:00 |         36913 |
| 2015-03-06 00:00:00 |         33500 |
| 2015-04-05 00:00:00 |          8450 |
| 2015-05-05 00:00:00 |          8577 |
| 2015-06-04 00:00:00 |         10303 |
| 2015-07-04 00:00:00 |         11773 |
| 2015-08-03 00:00:00 |          9725 |
| 2015-09-02 00:00:00 |          7644 |
| 2015-10-02 00:00:00 |         68601 |
| 2015-11-01 00:00:00 |         44059 |
| 2015-12-01 00:00:00 |         39244 |
| 2015-12-31 00:00:00 |         37106 |
| 2016-01-30 00:00:00 |         42233 |
| 2016-02-29 00:00:00 |         24213 |
| 2016-03-30 00:00:00 |         19336 |
| 2016-04-29 00:00:00 |         16031 |
| 2016-05-29 00:00:00 |         19935 |
| 2016-06-28 00:00:00 |         12582 |
| 2016-07-28 00:00:00 |         10646 |
| 2016-08-27 00:00:00 |          9986 |
| 2016-09-26 00:00:00 |          9844 |
| 2016-10-26 00:00:00 |         10718 |
| 2016-11-25 00:00:00 |         10691 |
| 2016-12-25 00:00:00 |         12429 |
| 2017-01-24 00:00:00 |         13664 |
| 2017-02-23 00:00:00 |         13893 |
| 2017-03-25 00:00:00 |         15276 |
| 2017-04-24 00:00:00 |         20585 |
| 2017-05-24 00:00:00 |         31381 |
| 2017-06-23 00:00:00 |         35866 |
| 2017-07-23 00:00:00 |         40726 |
| 2017-08-22 00:00:00 |         45026 |
| 2017-09-21 00:00:00 |         70477 |
| 2017-10-21 00:00:00 |         95568 |
| 2017-11-20 00:00:00 |        144762 |
| 2017-12-20 00:00:00 |        238433 |
| 2018-01-19 00:00:00 |        136872 |
| 2018-02-18 00:00:00 |        107237 |
| 2018-03-20 00:00:00 |         87087 |
| 2018-04-19 00:00:00 |         89659 |
| 2018-05-19 00:00:00 |         83999 |
| 2018-06-18 00:00:00 |         72430 |
| 2018-07-18 00:00:00 |         61360 |
| 2018-08-17 00:00:00 |         43451 |
| 2018-09-16 00:00:00 |         43516 |
| 2018-10-16 00:00:00 |         35335 |
| 2018-11-15 00:00:00 |         31502 |
| 2018-12-15 00:00:00 |         20733 |
| 2019-01-14 00:00:00 |         20046 |
| 2019-02-13 00:00:00 |          2763 | [PARTIAL PERIOD]
+---------------------+---------------+
7932  Other / Meta / Re: Bitcointalk.org did it into the big cryptomedia today.... on: March 15, 2019, 10:22:21 AM
Quote from: DdmrDdmr on March 15, 2019, 09:31:03 AM
Looking at the chart on the referenced post, the 1 merit for Jr. Members introduced in mid September 2018 did not seem to alter the trend at all (number of posts per month), but rather continued its downward pattern, which, as expected, is in consonance to market (see for example chart comparison on re: Bitcointalk is Dying?).
< ... >
The way I see it, Bitcointalk seems to be rather aligned to how Bitcoin/cypto is behaving currently. That is natural and rather much unavoidable.
Agreed with you, @DdmrDdmr.
There are my time series plots, which support your stance above.
Quote from: tranthidung on November 19, 2018, 01:46:54 PM

And this one
Quote from: tranthidung on February 18, 2019, 03:24:08 AM
ABSTRACT
(1) 50% of observed months have intra-month registered account range from 2311 to 27790 (the interquartile range);
(2) 50% of observed months have intra-month registered account above or below 10432 (the median);
(3) The intra-month registered account fell 91.6% from its all time high in 2017 at 238400 to 20046; whilst the bitcoin decreased nearly 83.9%.
(4) The demotion on Junior Members in September 2018 probably caused intra-month registered accounts fell considerbaly later months.
(5) The difference in means of before and after periods (cut-off timepoint is Sept. 2018) is -63.6%.

Time-series plot
7933  Other / Meta / Re: List of Bitcointalk stats on: March 15, 2019, 10:16:20 AM
Thanks OP very much for listing my two topics in the list.
It seems that you missed my another topic.
Tracking the difference of merit circulations with Default Trust Changes
It should be listed in the list of merit category.
7934  Other / Meta / Re: Bitcointalk.org did it into the big cryptomedia today.... on: March 15, 2019, 10:01:27 AM
Quote from: NeuroticFish on March 15, 2019, 09:23:58 AM
But I agree that they are not the only ones with low quality "news".
It is the way D.J.Trump name-called low quality news.
Personally, I don't really like his way to call all news that he don't like as fake news.
It sounds like a dictator.
Anyway, I agreed that news on so many well-known sites turned out to lower quality as they used to have.
7935  Other / Meta / Re: Bitcointalk.org did it into the big cryptomedia today.... on: March 15, 2019, 02:06:57 AM
Quote from: vizique on March 14, 2019, 09:13:08 PM
Price goes up, price goes down....
users goes up, users go down ....
rinse and repeat.

Viz

Don't blame it on bitcointalk.
Don't blame it on bitcoin.
7936  Other / Beginners & Help / Re: [Guide] Identify scam projects by hidden premined coin indicator via explorer on: March 15, 2019, 02:02:53 AM
Not sure about this.
Personally, if I can not find what I need in block #1, I will move next early blocks.
I usually find what I need in the first ten blocks, including premined coins, and movements of those premined coins.
Quote from: jackg on March 14, 2019, 05:14:03 PM
Is it better to check if there's a block 2. Block 1 can't be spent can it (or is that just with bitcoin)?
One of the simplies, fastest, and most effective approach to find scam and stupid projects.
Quote
Nice guide though, it's a simple trick but still one most people won't think of.
7937  Other / Beginners & Help / Re: [Guide] Identify scam projects by hidden premined coin indicator via explorer on: March 15, 2019, 02:00:20 AM
Quote from: Heisenberg_Hunter on March 14, 2019, 04:30:37 PM
Rank up fella  Cheesy Gave you the needed 4.
You have hit the finish line even before the end of this week. Congrats. Still hunting for other users like you, so that I own the pride of ranking them up. And more importantly please don't merit this post (most of them tend to do so), spend your smerits wisely to the one who needs them  Wink
Appreciated your helpful sMerits and compliments, fella.
Next update, in my topic, we will appear on the same club for above 250 earned-merit profiles.
[CLUBS] Top Merited-Users Classified into 4 Clubs
7938  Other / Meta / Re: Merit & new rank requirements on: March 15, 2019, 01:42:54 AM
Quote from: Drunk Teacher on March 15, 2019, 01:39:34 AM
can someone explain to me how to increase activity
Wait a minute, I will give you links.
FAQ: Everything you need to know about forum 'activity, account ranks and merit (Pinned topic).
Code:
1 X 14 = 14
2 X 14 = 28
3 X 14 = 42  ---  Junior. Member (1.5 month)
4 X 14 = 56
5 X 14 = 70  ---  Member (2.5 month)
6 X 14 = 84
7 X 14 = 98
8 X 14 = 112
9 X 14 = 126  --- Full Member (4.5 month)
10 X 14 = 140
11 X 14 = 154
12 X 14 = 168
13 X 14 = 182
14 X 14 = 196
15 X 14 = 210
16 X 14 = 224
17 X 14 = 238
18 X 14 = 252 --- Senior Member (8.5 month)
19 X 14 = 266
20 X 14 = 280
21 X 14 = 294
22 X 14 = 308
23 X 14 = 322
24 X 14 = 336
25 X 14 = 350
26 X 14 = 364
27 X 14 = 378
28 X 14 = 392
29 X 14 = 406
30 X 14 = 420
31 X 14 = 434
32 X 14 = 448
33 X 14 = 462
34 X 14 = 476
35 X 14 = 490  ----  Hero Member (1.3 years)
36 X 14 = 504
37 X 14 = 518
38 X 14 = 532
39 X 14 = 546
40 X 14 = 560
41 X 14 = 574
42 X 14 = 588
43 X 14 = 602
44 X 14 = 616
45 X 14 = 630
46 X 14 = 644
47 X 14 = 658
48 X 14 = 672
49 X 14 = 686
50 X 14 = 700
51 X 14 = 714
52 X 14 = 728
53 X 14 = 742
54 X 14 = 756
55 X 14 = 770
56 X 14 = 784  --- Legendary rank (2 years)
Required period to get activity points
Quote from: theymos on June 18, 2013, 08:44:42 PM
The activity number is determined in this way:
time = number of two-week periods in which you've posted since your registration
activity = min(time * 14, posts)
Besides activity points, for ranks from Junior Member and above, you will need another point, merit points.
There is a topic on Merit $ new rank requirements
In short:
Quote from: theymos on January 24, 2018, 11:00:11 PM
RankRequired activityRequired merit
Brand new00
Newbie10
Jr Member301
Member6010
Full Member120100
Sr. Member240250
Hero Member480500
LegendaryRandom in the range 775-10301000
Let's take my case as an example.
With old rank requirements, I could reach the Senior Member rank after 8.5 months, if I made enough posts for each 14-day period, and satisfied postcount of Senior Member rank.
Unfortunately, with the new rank requirements, it has actually taken me around one year and a half (double the minimum time required with old rank requirements) to hit the finish line.
Eventually, I hit the line yesterday.
Keep learning, and grow up, noob.
I gave you some important topics.
1) [GUIDES] on Bitcointalk. Index thread (until there is a dedicated subforum?) (Very important topic, in which you can find almost everything you need)
2) Inspirational stories from self-made promoted users (Read, and learn from those stories)
3) [CLUBS] Top Merited-Users Classified into 4 Clubs (Learn from those top merit-receivers and their merited-posts/ topics)
7939  Other / Meta / Re: Statistics of user registrations on Bitcointalk 2017-2019 on: March 15, 2019, 01:41:28 AM
Quote from: DdmrDdmr on March 14, 2019, 04:52:52 PM
Registered accounts is on a steep descending trend, although we need to take into consideration that many are registered and never active at all.
For new registered account figures, I suggest to exclude all newbies, that registered, and almost have no activity count, or even got banned or nuked.
Those sort of bot-created or farm-accounts don't represent true trend of new users in the forum.
They are extreme outliers, and should be excluded all.
7940  Other / Meta / Re: ⭐ Forum chronicle - UP Rank List - Congratulations! (BPIP Merit stat, Trust) ⭐ on: March 15, 2019, 01:37:40 AM
Congratulations myself to become a new self-made Senior Member.

RankUser nameBPIP profileBPIP Merit RECEIVEDBPIP Merit SENDTrustStatusPersonal comment about yourself
tranthidungtranthidungtranthidungtranthidung0: -0 / +0activeInformation expected
Next finish line, a self-made Hero Member.
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