< ... >
Honestly, you made amazing works and already become a self-made Member. Despite of the fact that your application does not exactly meet my form, that requires 6 posts/ topics. One of them is your post/ topic. Five of them are from other forum users' posts/ topics, not yours. Anyway, today, you moved higher than self-made Member, with 2 sMerits from me.
Congratulations, you are the second winner in my challenge! Let keep up your good dedication, amazing works, grow up and use your sMerits to make others happy. |
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theymos will replace all users' names with theymos. Everyone might become theymos. On the coming 1st April, every forum users should say 'I'm theymos'. It means on that day, after logging up, you might feel, what's wrong with me? I can log in the admin account, OMG. It's amazing.  |
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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 18/3/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 18/3/2019 truncated as well due to incomplete week (the 2019w12);
- Statistics presented in the post are for truncated dataset.
(1) Potential outliers are days that have intraday total merits beyond 161 or 1121;
(2) Median of intraday merits over the period is 623;
(3) 50% of observed days have their intra-day merits range from 521 to 761 (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 561, and 613, respectively.
(5) 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.
(6) 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 4491;
(2) 50% of observed weeks (60 weeeks in total), have total merits in the range from 3836 to 5397 (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 1496 or 7738], all of them occurred in the year 2018.
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Update on intra-week merits (from 24/1/2018 to 18/3/2019)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 |
+-----------------+
- 50% of observed weeks have total intra-week merits above 4491, whilst the rest 50% of them have total intra-week merits below 4491. 4491 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 3836 to 5397 (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 | 60 5707.417 4279.576 4490.5 3836 5396.5 3065 30949
----------------------------------------------------------------------------------------------
Potential outliers: . di 5396.5-3836
1560.5
. di 1560.5*1.5
2340.75
. di 5396.5+2340.75
7737.25
. di 3836-2340.75
1495.25
It means that potential outliers are weeks that have intra-week merits beyond 1496 or 7738 How many weeks are potential outliers? . count if (merit >= 7738 | merit < 1496) & merit != .
7
weeks are outliers, in total. List of those seven weeks: . list merit week if merit >=7738 | merit <= 1496
+-----------------+
| 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 Wednesday, Monday, and Thursday at 660, 658, and 644, respectively; whislt the lowest days are Friday, Saturday, and Sunday, at 561, 601, and 608, respectively. - In means, the highest days are Monday, Wednesday, and Tuesday at 740, 712, and 695, respectively; whilst the lowest days are Friday, Saturday, and Thursday at 613, 623, and 671, respectively. - In both mean and median, 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 | 56.0 693.8 322.9 607.5 481.0 800.0 389.0 2463.0
Monday | 57.0 740.0 287.8 658.0 565.0 808.0 312.0 1862.0
Tuesday | 56.0 694.2 220.2 630.0 580.0 763.5 383.0 1326.0
Wednesday | 56.0 711.9 212.9 659.5 558.5 760.0 435.0 1268.0
Thursday | 56.0 670.9 215.7 643.5 511.5 769.0 347.0 1333.0
Friday | 56.0 613.0 220.4 560.5 483.0 690.0 348.0 1696.0
Saturday | 56.0 622.1 213.8 600.5 462.0 691.5 316.0 1409.0
----------+--------------------------------------------------------------------------------
Total | 393.0 678.1 247.5 623.0 521.0 761.0 312.0 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. | 347 338 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. | 412 403 02mar2019 Saturday 2 3 2019 2019w9 2019m3 |
23. | 412 222 02sep2018 Sunday 2 9 2018 2018w35 2018m9 |
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. | 424 276 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. | 430 264 14oct2018 Sunday 14 10 2018 2018w41 2018m10 |
35. | 430 284 03nov2018 Saturday 3 11 2018 2018w44 2018m11 |
|-------------------------------------------------------------------------------|
36. | 432 208 19aug2018 Sunday 19 8 2018 2018w33 2018m8 |
37. | 432 221 01sep2018 Saturday 1 9 2018 2018w35 2018m9 |
38. | 433 282 01nov2018 Thursday 1 11 2018 2018w44 2018m11 |
39. | 435 190 01aug2018 Wednesday 1 8 2018 2018w31 2018m8 |
40. | 435 154 26jun2018 Tuesday 26 6 2018 2018w26 2018m6 |
|-------------------------------------------------------------------------------|
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. | 455 167 09jul2018 Monday 9 7 2018 2018w28 2018m7 |
47. | 455 229 09sep2018 Sunday 9 9 2018 2018w36 2018m9 |
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 18/3/2019, 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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This is not something that can make person rich, except for some faucet owners/related services - but for some people this is good start to get some coins if they have no other way to do that.
I understand that fact, with specific amount of coins/ tokens/ btc airdropped or paid via campaigns, bounties, faucets, its meanings are totally different from nations to nations, from locals to locals. So, it is too general and incorrect to draw a general statement here. For instance, the airdrops on blockchain.info, that gives $25 for each qualified case via Stellar means a lots for things for locals in those nations you mentioned, especially in Venezuela. But, the cost for airdrop hunters is they have to do KYCs. People in rich nations, or people who have some BTC, 10, 50, or more will never join this. |
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I guess in total they made from 30 to 50 percent of total statistical analyses.  Couldn’t resist ... Come on, that was an easy one to do: 12,5% (LoyceV) vs 36,67% (DdmrDdmr) As I guessed, nearly 49.2% of total topics on statistical analyses made by @LoyceV and @DdmrDdmr. I have only 2.5%. The forum has come very closely to the point, at which two outstanding statisticians might make sMerits double spends on the merit network. |
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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 | 417.0 773.8 503.9 638.0 526.0 796.0 312.0 4493.0
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 121 or 1201. . di 796-526
270
. di (796-526)*1.5
405
. di 405+796
1201
. di 526-405
121
There are 41 outliers in full dataset, in total. Those days are: . count if (merit >= 1201 | merit <= 121) & merit != .
41
. list id merit date if (merit >= 1201 | merit <= 121) & 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 | 393.0 678.1 247.5 623.0 521.0 761.0 312.0 2463.0
----------------------------------------------------------------------------------------------
Applied same formulas I used in earlier analyses, potential outliers are days have intra-day merits beyond 161 or 1121. . di 761-521
240
. di (761-521)*1.5
360
. di 360+761
1121
. di 521-360
161
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 >= 1121 | merit <= 161) & merit != .
25
. list id merit date if (merit >= 1121| merit <= 161) & 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 |
+-------------------------+
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New ATL. Great!
The perfect scenario for me is Grin coin falls to $1. If the coin really fall to $1, I will buy it immediatly without any level of hesitation. I have tried to prepare as much available capital as possible for that day. It's my plan for the Grin coin accumulation and thank @theymos for warned that the Grin coin price will drop over time. Since the inflation rate is so high in the first ~year, I think it will probably go even lower, probably under $1, and I'd expect the price chart of the first year to be a general downward trend. Again, I don't particularly recommend buying this stuff, and I myself am not going to be buying large amounts soon.
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I agree with you tranthidung that the merit system has help this forum improve
Spam has been definitely reduced dramatically. However, if someone can give me data points per month, I can draw a time series plot for total intra-month posts of the forum. I actually did it, but from arbitrarily data dumps by @theymos, and forum available data (but it stopped update since last year). From forum data update:From theymos' arbitrary data dump weeks ago: Total new accounts dropped deeply, I am not sure about total new posts made. |
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@DdmrDdmr moved fastly to the club of above 2000 merits- earned users. I believe with his merit-collecting speed, he will appear in the club next week because he only need 30 more merits to appear there  |
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I understand that but the only issue is that I only speak English
I got it, you unintentionally disclosed that you are native English speaker, manager. |
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No, i did not use a password for my wallet. My stupied mistake  This is your fault, that I guessed you did. Additionally, you should have at least two-layer protective method. You should set up strong passwords not only for your wallets, but also for your computer. Next times, I believe your coins won't be stolen easily like that. |
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I like the changes of forum. In the last two months, there are more and more self-made users, Full Member and above ranks. I seriously thought that the forum has jumped into new era, in which self-made users will dominate campaigns (quality campaigns, I meant). Such luckily high rank users who are not able to earn only singly merit years after merit system born won't have chance to join. I'm also checking earned merits and use this as a deciding factor if it comes down to 1 spot open with multiple applicants.
I don't agree with this. Sometimes, applicants have been on other campaigns, but yours give higher payment rates, so they want to switch to yours. In addition, they need to get your acceptance before officially switching to your campaign. The approach depends on each manager, but I don't support the approach. I will skip the application if a signature is not worn when applying, (certain situations like already in a sig campaign and waiting for payment before leaving can be overlooked as long as a user lets me know when applying) it is free advertising for the company they apply for if they post while wearing the signature.
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Leaving max negative trust on @LoyceV and @DdmrDdmr due to spamming Meta board with so many statistical analyses week from week. Someone who have time can make a calculation on the percentages of two guys analyses compared to total ones listed there: List of Bitcointalk statsI guess in total they made from 30 to 50 percent of total statistical analyses. |
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they are already accusing lots of campaign managers of something like that, self moderation will give them a stronger case to complain!
Therefore, managers tend to avoid to delete posts in their campaigns' topics to avoid such pseudo-accusations. Furthermore, some managers usually quote accepted applications to avoid complaints later (wrong addresses, wrong start posts, and so on). |
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This user is unbanned and will be removed in the next update:
904524: ChiBitCTy
This is the first user I saw he can get unbanned after perma banned.  One more time, theymos made me surprised.
I also hope Limx Dev can come back like this, but it seems unrealistic because his case is too different than ChiBitCTy. |
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No one knows, but maybe someone stole your coins. 1- The most important question, how this happend ?
2- What should i do, is there any possible way to restore my coins ?
I checked the address via explorer, more than 785 coins sent to that address on 19th Mar., days ago, not today. https://www.coinexplorer.net/D/address/D8NjRhnBe25G1UA9AJXtbFLtn9EohUciCrThis one is your address: https://www.coinexplorer.net/D/address/DCePSmzGhtoX5E5fj2kuRuYorQiwwJBxxaAll your coins gone. No one can help you when your coins moved away to other addresses. Question:- Did you use password for your wallet? If not, it is your fault, next times, you should create as strong password as possible for your wallets, not only D wallet. |
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109. -52.30% tranthidung earned 260 124 Merit from outside the Top 200 Merit Receivers Found my name. I almost moved to the top 100 in the list.  He is obviously one of shooting stars |
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