I don't have enough merits to buy condom and don't have a girlfriend to use it.
I don't want to have condom, what I need is merit condom. Will the bitcointalk's souvenir shop add the merit condom in next hours? Moreover, I wish that merit condom is much cheaper than condom. 
Such condom is relevant for such coming campaigns managed by Hhampuz.  Community Opinion - Signature CampaignsIn days to come, in order to be qualifying to join such pornsite campaigns, applicants have to prove that they own forum's condom or merit condom to join. |
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Two things: (1) Shit campaigns usually don't require such post-length criterion. And if they require it, it is mostly pseudo-requirement because they don't care and don't spend time to check post length in reality. They require it as pseudo-initiative to give feelings that their campaigns are high quality, and reliable; (2) Good managers often spend their time to check both post-length, post meanings, and post contribution in context of dicussions it published. Many campaigns place some restrictions on the minimum number of characters per paid post, so many tend to create longer posts to avoid the unpaid situation and show that they do a good job at posting. "Merits are not always the goal."
Short or long, it does not matter. The matter is contributions of posts for discussion that they joined. If posts don't contribute anything valuable to discussions, they are shit posts, no matter how long they are. Everyone has different style of posting.
As long as they can say their thought or opinion on the subject, I don't see a problem with that.
But of course, shorter is better, less time to type. LOL
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My ID got wetted and destroyed two weeks ago, then now I can not do KYC to keep using my account. So, what should I do next, all my friends? I need you recomendations now, because I can not figure out ways to get out of it. I actually thought that I have to leave the forum forever in the next several days.  |
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When those souvernirs shipped to buyers? It is one of the best and fastest way to destroy sMerits. Please look at the OP and we can easily see how many sMerits destroyed to buy forum souvernirs, within minutes.  |
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TRACKING MERIT CIRCULATION IN THE FORUM AFTER KYC REQUIRED AND FORUM'S SOUVERNIRS BUYABLE WITH SMERITS More than one year and three months since merit system started in 2018, who really been actively in the forum during those months obviously known well that the forum have witnessed some shocks in merit circulations: (1) New merit sources added; (2) Demotions of Junior Members in September of 2019; (3) Default Trust Changes in early 2019. And now, we have had two big things come for us today: (1) KYC now required; (2) Forum's souvenirs now can be bought by sMerits.So, since today, I will keep tracking merit circulations in the forum to see the difference between median of intraday merits for before and after periods. The cut-off point used is today (1st April of 2019). - Before period: all days before 1st Apr. 2019, of course after truncated outliers. - Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 25/3/2019 truncated as well due to incomplete week (the 2019w13);
- After period: all days before 1st Apr. 2019. - Update will be published in the newest post (weekly update), not in the OP;Colors:- Green: Increasing change;- Red: Decreasing change.I have plans to tracking the merit circulation at least next five weeks.
My other topics:Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)Tracking the difference of merit circulations with Default Trust Changes |
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Update for last week:Time series plotsIntra-day merits:(1) Full dataset(2) Truncated datasetIntra-week merits: ABSTRACT
Intra-day merits:
Notes:
- The part of the asbstract describes figures of intraday merits over the period from 19/2/2018 to 25/3/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 25/3/2019 truncated as well due to incomplete week (the 2019w13);
- Statistics presented in the post are for truncated dataset
(1) Potential outliers are days that have intraday total merits beyond 164 or 1118;
(2) Median of intraday merits over the period is 626;
(3) 50% of observed days have their intra-day merits range from 521 to 760 (the interquartile range);
(4) Friday [in GTM time] is the day over weeks has lowest intraday merits in terms of both median and mean, at 567, and 614, respectively.
(5) Monday [in GTM time] is the day over weeks has highest intraday merits in terms of both median and mean, at 658, and 738, respectively.
(6) There are 25 potential outliers in total, and there is only two potential outlier days happened in early weeks of 2019, on 09 Jan. 2019 and 14 Jan. 2019, at 1161, and 1127, respectively.
(7) Minimum and maximum of intraday merits (full dataset) are 312 and 13018, on 11/2/2019 and 24/1/2018 respectively.
Intra-week merits:
Notes:
The part of the abstract use full dataset, only dropped last two days due to incomple week (2019w10).
(1) The median of intra-week merits is 4507;
(2) 50% of observed weeks (61 weeeks in total), have total merits in the range from 3854 to 5306 (the interquaritle range of intra-week merits);
(3) Minimum and maximum of intraweek merits are 3065 and 30949, in 2018w35, and 2018w4, respectively;
(4) Seven potential outliers [beyond 1676 or 7484], all of them occurred in the year 2018.
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ABSTRACT
Intra-day merits:
Notes:
- The part of the asbstract describes figures of intraday merits over the period from 19/2/2018 to 25/3/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 25/3/2019 truncated as well due to incomplete week (the 2019w13);
- Statistics presented in the post are for truncated dataset
(1) Potential outliers are days that have intraday total merits beyond 164 or 1118;
(2) Median of intraday merits over the period is 626;
(3) 50% of observed days have their intra-day merits range from 521 to 760 (the interquartile range);
(4) Friday [in GTM time] is the day over weeks has lowest intraday merits in terms of both median and mean, at 567, and 614, respectively.
(5) Monday [in GTM time] is the day over weeks has highest intraday merits in terms of both median and mean, at 658, and 738, respectively.
(6) There are 25 potential outliers in total, and there is only two potential outlier days happened in early weeks of 2019, on 09 Jan. 2019 and 14 Jan. 2019, at 1161, and 1127, respectively.
(7) Minimum and maximum of intraday merits (full dataset) are 312 and 13018, on 11/2/2019 and 24/1/2018 respectively.
Intra-week merits:
Notes:
The part of the abstract use full dataset, only dropped last two days due to incomple week (2019w10).
(1) The median of intra-week merits is 4507;
(2) 50% of observed weeks (61 weeeks in total), have total merits in the range from 3854 to 5306 (the interquaritle range of intra-week merits);
(3) Minimum and maximum of intraweek merits are 3065 and 30949, in 2018w35, and 2018w4, respectively;
(4) Seven potential outliers [beyond 1676 or 7484], all of them occurred in the year 2018.
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Update on intra-week merits (from 24/1/2018 to 25/3/2019)Converted dataset:. list merit week
+-----------------+
| merit week |
|-----------------|
1. | 30949 2018w4 |
2. | 19958 2018w5 |
3. | 13304 2018w6 |
4. | 11722 2018w7 |
5. | 8758 2018w8 |
|-----------------|
6. | 8806 2018w9 |
7. | 7253 2018w10 |
8. | 7309 2018w11 |
9. | 6941 2018w12 |
10. | 6707 2018w13 |
|-----------------|
11. | 6415 2018w14 |
12. | 5487 2018w15 |
13. | 4631 2018w16 |
14. | 4585 2018w17 |
15. | 4953 2018w18 |
|-----------------|
16. | 4753 2018w19 |
17. | 4346 2018w20 |
18. | 3854 2018w21 |
19. | 4183 2018w22 |
20. | 4527 2018w23 |
|-----------------|
21. | 3818 2018w24 |
22. | 4921 2018w25 |
23. | 4457 2018w26 |
24. | 4253 2018w27 |
25. | 4239 2018w28 |
|-----------------|
26. | 4159 2018w29 |
27. | 3652 2018w30 |
28. | 3798 2018w31 |
29. | 3994 2018w32 |
30. | 3618 2018w33 |
|-----------------|
31. | 3789 2018w34 |
32. | 3065 2018w35 |
33. | 3574 2018w36 |
34. | 5630 2018w37 |
35. | 7825 2018w38 |
|-----------------|
36. | 4388 2018w39 |
37. | 4271 2018w40 |
38. | 3800 2018w41 |
39. | 4821 2018w42 |
40. | 3945 2018w43 |
|-----------------|
41. | 3339 2018w44 |
42. | 4513 2018w45 |
43. | 3722 2018w46 |
44. | 4558 2018w47 |
45. | 3750 2018w48 |
|-----------------|
46. | 3560 2018w49 |
47. | 3782 2018w50 |
48. | 3753 2018w51 |
49. | 3278 2018w52 |
50. | 4793 2019w1 |
|-----------------|
51. | 6624 2019w2 |
52. | 5306 2019w3 |
53. | 4659 2019w4 |
54. | 4474 2019w5 |
55. | 4318 2019w6 |
|-----------------|
56. | 4207 2019w7 |
57. | 4507 2019w8 |
58. | 4625 2019w9 |
59. | 4901 2019w10 |
60. | 4318 2019w11 |
|-----------------|
61. | 4598 2019w12 |
+-----------------+
- 50% of observed weeks have total intra-week merits above 4507, whilst the rest 50% of them have total intra-week merits below 4507. 4507 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 3854 to 5306 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 3065 - 30949. . tabstat merit, s(n mean sd p50 p25 p75 min max)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 61 5689.23 4246.139 4507 3854 5306 3065 30949
----------------------------------------------------------------------------------------------
Potential outliers: . di 5306-3854
1452
. di 1452*1.5
2178
. di 5306+2178
7484
. di 3854-2178
1676
It means that potential outliers are weeks that have intra-week merits beyond 1676 or 7484? How many weeks are potential outliers? . count if (merit >= 7484 | merit < 1676) & merit != .
7
weeks are outliers, in total. List of those seven weeks: . list merit week if merit >=7484 | merit <= 1676
+-----------------+
| merit week |
|-----------------|
1. | 30949 2018w4 |
2. | 19958 2018w5 |
3. | 13304 2018w6 |
4. | 11722 2018w7 |
5. | 8758 2018w8 |
|-----------------|
6. | 8806 2018w9 |
35. | 7825 2018w38 |
+-----------------+
All of them occured in the year 2018.
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Medians and means of intra-day merits over days of weeks.Colors: - Green: highest.- Red: Lowest.- In median, the highest days are Monday, Wednesday, and Thursday at 658, 654, and 644, respectively; whislt the lowest days are Friday, Sunday, and Saturday, at 567, 607, and 614, respectively. - In means, the highest days are Monday, Wednesday, and Sunday at 738, 711, and 692, respectively; whilst the lowest days are Friday, Saturday, and Thursday at 614, 622, and 672, respectively. - In both mean and median, Monday is the highest day, whilst Friday is the lowest day. Calendar day is in GMT time.To take away all doubt: the first Merit was this one: 1516831941 1 2818066.msg28853325 35 877396 Use EpochConverter to convert 1516831941 (Unix Time) to GMT: Wednesday 24 January 2018 22:12:21. . 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 | 57.0 692.0 320.3 607.0 486.0 796.0 389.0 2463.0
Monday | 58.0 737.2 286.1 657.5 565.0 808.0 312.0 1862.0
Tuesday | 57.0 695.3 218.4 632.0 580.0 760.0 383.0 1326.0
Wednesday | 57.0 710.9 211.1 654.0 559.0 759.0 435.0 1268.0
Thursday | 57.0 671.8 213.9 644.0 514.0 764.0 347.0 1333.0
Friday | 57.0 614.0 218.6 567.0 487.0 682.0 348.0 1696.0
Saturday | 57.0 622.2 211.8 614.0 463.0 688.0 316.0 1409.0
----------+--------------------------------------------------------------------------------
Total | 400.0 677.8 245.4 625.5 521.0 759.5 312.0 2463.0
-------------------------------------------------------------------------------------------
Outliers displayed as red circles. Outliers non-displayed.
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List of the top 50-highest day in terms of intra-day merits: . 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: . 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. | 347 298 17nov2018 Saturday 17 11 2018 2018w46 2018m11 |
5. | 347 338 27dec2018 Thursday 27 12 2018 2018w52 2018m12 |
|-------------------------------------------------------------------------------|
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. | 412 403 02mar2019 Saturday 2 3 2019 2019w9 2019m3 |
24. | 415 109 12may2018 Saturday 12 5 2018 2018w19 2018m5 |
25. | 415 278 28oct2018 Sunday 28 10 2018 2018w43 2018m10 |
|-------------------------------------------------------------------------------|
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. | 424 276 26oct2018 Friday 26 10 2018 2018w43 2018m10 |
|-------------------------------------------------------------------------------|
31. | 424 313 02dec2018 Sunday 2 12 2018 2018w48 2018m12 |
32. | 426 277 27oct2018 Saturday 27 10 2018 2018w43 2018m10 |
33. | 428 418 17mar2019 Sunday 17 3 2019 2019w11 2019m3 |
34. | 430 284 03nov2018 Saturday 3 11 2018 2018w44 2018m11 |
35. | 430 264 14oct2018 Sunday 14 10 2018 2018w41 2018m10 |
|-------------------------------------------------------------------------------|
36. | 432 221 01sep2018 Saturday 1 9 2018 2018w35 2018m9 |
37. | 432 208 19aug2018 Sunday 19 8 2018 2018w33 2018m8 |
38. | 433 282 01nov2018 Thursday 1 11 2018 2018w44 2018m11 |
39. | 435 154 26jun2018 Tuesday 26 6 2018 2018w26 2018m6 |
40. | 435 190 01aug2018 Wednesday 1 8 2018 2018w31 2018m8 |
|-------------------------------------------------------------------------------|
41. | 444 182 24jul2018 Tuesday 24 7 2018 2018w30 2018m7 |
42. | 445 143 15jun2018 Friday 15 6 2018 2018w24 2018m6 |
43. | 450 373 31jan2019 Thursday 31 1 2019 2019w5 2019m1 |
44. | 451 206 17aug2018 Friday 17 8 2018 2018w33 2018m8 |
45. | 454 283 02nov2018 Friday 2 11 2018 2018w44 2018m11 |
|-------------------------------------------------------------------------------|
46. | 455 229 09sep2018 Sunday 9 9 2018 2018w36 2018m9 |
47. | 455 167 09jul2018 Monday 9 7 2018 2018w28 2018m7 |
48. | 457 216 27aug2018 Monday 27 8 2018 2018w35 2018m8 |
49. | 458 324 13dec2018 Thursday 13 12 2018 2018w50 2018m12 |
50. | 458 227 07sep2018 Friday 7 9 2018 2018w36 2018m9 |
|-------------------------------------------------------------------------------|
During the period from 24/1/2018 to 25/3/2019, the minimum and maximum of intra-day merits are 312 and 13018 , on 24/12/2018 and 24/1/2018, respectively. |
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Time-series plots:Full dataset:Truncated dataset:
Basic statistics:Full dataset:
. tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 424.0 771.8 500.0 638.5 528.0 792.5 312.0 4493.0
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 132 or 1190. . * outliers for full dataset (drop first 2 days + last 2 days)
. di 792.5-528
264.5
. di 264.5*1.5
396.75
. di 792.5+396.75
1189.25
. di 528-396.75
131.25
There are 41 outliers in full dataset, in total. Those days are: . count if (merit >= 1190 | merit <= 132) & merit != .
41
. list id merit date if (merit >= 1190 | merit <= 132) & 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:. tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 400.0 677.8 245.4 625.5 521.0 759.5 312.0 2463.0
----------------------------------------------------------------------------------------------
Applied same formulas I used in earlier analyses, potential outliers are days have intra-day merits beyond 164 or 1118. . di 759.5-521
238.5
. di 238.5*1.5
357.75
. di 357.75+759.5
1117.25
. di 521-357.75
163.25
There are 25 outliers in total, only two of them occured in 2019, on 09/1/2019, and 14/01/2019 at 1161 and 1127, respectively. None of them occured in the last week. . count if (merit >= 1118 | merit <= 164) & merit != .
25
. list id merit date if (merit >= 1118 | merit <= 164) & 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 |
330. | 356 1127 14jan2019 |
+-------------------------+
The last day in the dataset belongs to next week, 2019w13, is obviously an outlier, but it will be counted next week.
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This is why I wrote that part there: (2) Spending most of your time to read and learn
Only start composing your posts when you have something extremely constructive to discussions, topics.
Reasons:
- You are noobs, newbies (lack of knowledge, and experience), so what you think are constructive most likely unconstructive in reality.
- When you actually have reasons to start composing your posts, after finishing it, please re-read again and again to check that your posts are good in grammar, vocabularies, and good enough to express most of your ideas. I wrote most of your ideas because sometimes it is difficult for non-native English speakers to write down and completely express ideas by words. It's a challenge for non-native English speakers, who don't have English as their mother tongue.
Newbies should spend most of their time for read, and learn, not write. Writing is the last priority for them when they have something need help and don't have available answers for their issues; or when they have something serious to disucss, to help others. Writing, should never be the first priority in the forum. Reading, learning, searching, and brainstorming. |
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I thank you for the week update. The rises of total merits in the last day maybe come from Merit sources applications, not only come from tk808's topic. I am not sure, because I don't check start days of those merit source applications and merited days, but it is potential reasons. People tend to easily to drop their sMerits to merit source applications, and honestly I felt surprising about that fact. For instance: People can report bunches of good topics (more than 10) to your topic, there: [self-moderated] Report unmerited good posts to Merit SourceMaybe, they can get 1, 2, or 4 merits for their good reports, but what usually happen with merit sources applications? 50, 100 or even higher merits for just one topic created as Merit Source Application. I known that fact, but I don't create such topic, because it does not make sense for me. You have very excellent skills to scrap data, so let's spend your time to make analysis on the mean/ median of earned merits of all Merit Source Applications' topics so far (if you have interests on this). Due to more than 30 merit source applications so far, I guess, I would prefer to see statistic presented with median, not with mean. Median, always better statistics, especially with dataset contains outliers.
Update:Converted intra-day merits for days in 2019. . list id merit date day month2 year week month dofw if year == 2019
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| id merit date day month2 year week month dofw |
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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 |
415. | 415 804 14mar2019 14 3 2019 2019w11 2019m3 Thursday |
416. | 416 580 15mar2019 15 3 2019 2019w11 2019m3 Friday |
417. | 417 482 16mar2019 16 3 2019 2019w11 2019m3 Saturday |
|------------------------------------------------------------------------------|
418. | 418 428 17mar2019 17 3 2019 2019w11 2019m3 Sunday |
419. | 419 657 18mar2019 18 3 2019 2019w11 2019m3 Monday |
420. | 420 758 19mar2019 19 3 2019 2019w12 2019m3 Tuesday |
421. | 421 651 20mar2019 20 3 2019 2019w12 2019m3 Wednesday |
422. | 422 720 21mar2019 21 3 2019 2019w12 2019m3 Thursday |
|------------------------------------------------------------------------------|
423. | 423 674 22mar2019 22 3 2019 2019w12 2019m3 Friday |
424. | 424 625 23mar2019 23 3 2019 2019w12 2019m3 Saturday |
425. | 425 594 24mar2019 24 3 2019 2019w12 2019m3 Sunday |
426. | 426 576 25mar2019 25 3 2019 2019w12 2019m3 Monday |
427. | 427 726 26mar2019 26 3 2019 2019w13 2019m3 Tuesday |
|------------------------------------------------------------------------------|
428. | 428 1249 27mar2019 27 3 2019 2019w13 2019m3 Wednesday |
+------------------------------------------------------------------------------+
For days in 2018, please get it there |
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The OP's ideas look good, but why not firstly emphasize about the importance of reading the forum rules and kinds of punishments?
We have been in the forum, so why we not get started first from here?
I believe lots of users don't read forum rules during their first days, or even months they join the forum.
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Can I express my opinion in opposite side?  Merit source applications are always good, because, to be qualifying enough to made application and got attention, consideration from @theymos, applicants have to choose ten high quality topics. So, they have to spend time, to find, collect, and present them into their applications. Is it good or bad? It is obviously good, because some of those topics have not listed or mentioned in any list before they collected and presented in merit source applicatioins. No matter result of application is, got accepted or rejected, it is only good for community. One more thing, spammers should and could not apply to be a merit source. Maybe I missed something, but I have never seen spammers applied to be merit sources. Consequently, each batch of ten-chosen-topics in Merit Source Applications are usually good topics. |
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Rules made by human, by admin and demands from forum community.
Rules can be changed/ adjutsted over time for some reasons (when new type of abusements occur).
Rules can be changed / adjusted due to demands from governments' demands (who knows).
So, that is why I guess it has been tittled as 'Unofficial rules" for too long, and it should be tittled like this.
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