Update:Three weeks later after Default Trust Changed. - Median: + 15.9%- Mean: + 15.5%Statistics:- Before: Mean +/- sd: 677 +/- 263 Median (Interquartile range - IQR): 617 (511 - 767) - Three weeks later (09/1/2019) Mean +/- sd: 782 +/- 180 Median (IQR): 715 (643 - 880) . tabstat before090119 wkslater_2 wkslater_3, s(n mean sd p50 p25 p75 min max) format(%9.1f) c(s)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
before090119 | 324.0 677.0 263.0 616.5 510.5 766.5 312.0 2463.0
wkslater_2 | 14.0 840.4 191.4 845.5 658.0 987.0 611.0 1161.0
wkslater_3 | 21.0 781.9 179.5 715.0 643.0 880.0 587.0 1161.0
----------------------------------------------------------------------------------------------
The previous assumption is likely wrong: It is what I expected, very close to my estimation based on the difference of medians of intra-days merits between periods before and after.
nearly 30% increases of both sMerits generated for merit sources, and of median of total intraweek sMerits sent in the last two weeks.
So, you maybe right that the rises of merit circulations last two weeks come from the re-allocation sMerits to merit sources and their sMerits-give-away activities.
Notes:In the raw statistical results above, - mean: mean; - median: p50
|
|
|
|
Update:
ABSTRACTNotes: - The asbstract describes figures of intraday merits over the period from 19/2/2018 to 28/01/2019 (truncated dataset); - Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 28/01/2019 truncated as well due to incomplete week (the fifth week of 2019, 2019w5); - Statistics presented in the post are for truncated dataset. (1) Potential outliers are days that have intraday total merits beyond 135.5 or 1151.5; (2) Median of intraday merits over the period is 621.5, whilst the interquartile range is from 516.5 to 770.5; (3) Friday is the day over weeks has lowest intraday merits in terms of both median and mean, at 542, and 617, respectively.
1) Daily merits' time series plotI used full dataset (only dropped the first two days due to extremely high merits distributed during those days), since 24/1/2018 to 28/1/2019 to draw the below plot 2) Basic statistics* For full dataset (only first 2 days dropped) - Mean +/- sd: 792 +/- 533 - Median (interquartile range): 639 (521 836.5) - Min - max: 312 - 4493. From the full dataset, we can easily identify potential outliers via the following formula: IQR = Q3 Q1 = 836.5 521 = 315.5; 1.5*IQR = 1.5*315.5 = 473.25 Potential outliers: - Above Q3 +1.5*IQR = 836.5 + 473.25 = 1309.75 - Below Q1 1.5*IQR = 517 477 = 47.75 Let's see how many days that have total intraday merits beyond 47.75 or 1309.75? . count if merit >= 1309.75 | merit <= 47.75
33
In total, 33 days are extremely potential outliers, and none of them occured recent weeks (only days before 18/9/2018). . list id merit date if (merit >= 1309.75 | merit <= 47.75) & merit != .
+-------------------------+
| id merit date |
|-------------------------|
1. | 3 4493 26jan2018 |
2. | 4 3489 27jan2018 |
3. | 5 3188 28jan2018 |
4. | 6 3799 29jan2018 |
5. | 7 4192 30jan2018 |
|-------------------------|
6. | 8 2820 31jan2018 |
7. | 9 2545 01feb2018 |
8. | 10 2568 02feb2018 |
9. | 11 1867 03feb2018 |
10. | 12 2167 04feb2018 |
|-------------------------|
11. | 13 2077 05feb2018 |
12. | 14 2308 06feb2018 |
13. | 15 2141 07feb2018 |
14. | 16 2141 08feb2018 |
15. | 17 1448 09feb2018 |
|-------------------------|
16. | 18 1747 10feb2018 |
17. | 19 1442 11feb2018 |
18. | 20 1331 12feb2018 |
19. | 21 1579 13feb2018 |
20. | 22 2513 14feb2018 |
|-------------------------|
21. | 23 1991 15feb2018 |
22. | 24 1411 16feb2018 |
23. | 25 1608 17feb2018 |
25. | 27 1403 19feb2018 |
30. | 32 1409 24feb2018 |
|-------------------------|
32. | 34 1382 26feb2018 |
33. | 35 1326 27feb2018 |
35. | 37 1333 01mar2018 |
36. | 38 1696 02mar2018 |
46. | 48 1354 12mar2018 |
|-------------------------|
54. | 56 1322 20mar2018 |
234. | 236 2463 16sep2018 |
235. | 237 1862 17sep2018 |
+-------------------------+
Let's identify potential outliers of the truncated dataset (from 19/2/2018 to 28/1/2019): - Mean +/- sd: 683.6 +/- 260.1 - Median (interquartile range): 621.5 (516.5 770.5) - Min - max: 312 - 2463. IQR = Q3 Q1 = 770.5 - 516.5 = 254; 1.5*IQR = 1.5*254 = 381 Potential outliers: - Above Q3 +1.5*IQR = 770.5 + 381 = 1151.5 - Below Q1 1.5*IQR = 516.5 381 = 135.5 Potential outliers are days that have intraday merits beyond 135.5 or 1151.5. Let's see how many days that have total intraday merits beyond 135.5 or 1151.5 ? . count if (merit >= 1151.5 | merit <= 135.5) & merit != .
47
There are 47 days in total, and there is only one potential outlier day happened in early weeks of 2019, on 09 Jan. 2019, at 1161. . list id merit date if (merit >= 1151.5 | merit <= 135.5) & merit != .
+-------------------------+
| id merit date |
|-------------------------|
1. | 27 1403 19feb2018 |
2. | 28 1169 20feb2018 |
3. | 29 1266 21feb2018 |
4. | 30 1279 22feb2018 |
6. | 32 1409 24feb2018 |
|-------------------------|
7. | 33 1186 25feb2018 |
8. | 34 1382 26feb2018 |
9. | 35 1326 27feb2018 |
11. | 37 1333 01mar2018 |
12. | 38 1696 02mar2018 |
|-------------------------|
15. | 41 1245 05mar2018 |
22. | 48 1354 12mar2018 |
24. | 50 1159 14mar2018 |
30. | 56 1322 20mar2018 |
31. | 57 1227 21mar2018 |
|-------------------------|
42. | 68 1233 01apr2018 |
210. | 236 2463 16sep2018 |
211. | 237 1862 17sep2018 |
212. | 238 1294 18sep2018 |
213. | 239 1268 19sep2018 |
|-------------------------|
325. | 351 1161 09jan2019 |
+-------------------------+
. 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. | 415 278 28oct2018 Sunday 28 10 2018 2018w43 2018m10 |
24. | 415 109 12may2018 Saturday 12 5 2018 2018w19 2018m5 |
25. | 418 186 28jul2018 Saturday 28 7 2018 2018w30 2018m7 |
|-------------------------------------------------------------------------------|
26. | 420 187 29jul2018 Sunday 29 7 2018 2018w30 2018m7 |
27. | 421 192 03aug2018 Friday 3 8 2018 2018w31 2018m8 |
28. | 422 140 12jun2018 Tuesday 12 6 2018 2018w24 2018m6 |
29. | 424 276 26oct2018 Friday 26 10 2018 2018w43 2018m10 |
30. | 424 313 02dec2018 Sunday 2 12 2018 2018w48 2018m12 |
|-------------------------------------------------------------------------------|
31. | 426 277 27oct2018 Saturday 27 10 2018 2018w43 2018m10 |
32. | 430 264 14oct2018 Sunday 14 10 2018 2018w41 2018m10 |
33. | 430 284 03nov2018 Saturday 3 11 2018 2018w44 2018m11 |
34. | 432 208 19aug2018 Sunday 19 8 2018 2018w33 2018m8 |
35. | 432 221 01sep2018 Saturday 1 9 2018 2018w35 2018m9 |
|-------------------------------------------------------------------------------|
36. | 433 282 01nov2018 Thursday 1 11 2018 2018w44 2018m11 |
37. | 435 190 01aug2018 Wednesday 1 8 2018 2018w31 2018m8 |
38. | 435 154 26jun2018 Tuesday 26 6 2018 2018w26 2018m6 |
39. | 444 182 24jul2018 Tuesday 24 7 2018 2018w30 2018m7 |
40. | 445 143 15jun2018 Friday 15 6 2018 2018w24 2018m6 |
|-------------------------------------------------------------------------------|
41. | 451 206 17aug2018 Friday 17 8 2018 2018w33 2018m8 |
42. | 454 283 02nov2018 Friday 2 11 2018 2018w44 2018m11 |
43. | 455 167 09jul2018 Monday 9 7 2018 2018w28 2018m7 |
44. | 455 229 09sep2018 Sunday 9 9 2018 2018w36 2018m9 |
45. | 457 216 27aug2018 Monday 27 8 2018 2018w35 2018m8 |
|-------------------------------------------------------------------------------|
46. | 458 227 07sep2018 Friday 7 9 2018 2018w36 2018m9 |
47. | 458 324 13dec2018 Thursday 13 12 2018 2018w50 2018m12 |
48. | 460 263 13oct2018 Saturday 13 10 2018 2018w41 2018m10 |
49. | 461 130 02jun2018 Saturday 2 6 2018 2018w22 2018m6 |
50. | 462 306 25nov2018 Sunday 25 11 2018 2018w47 2018m11 |
|-------------------------------------------------------------------------------|
. list merit id date dofw day month2 year week month
+-------------------------------------------------------------------------------+
| merit id date dofw day month2 year week month |
|-------------------------------------------------------------------------------|
1. | 13018 1 24jan2018 Wednesday 24 1 2018 2018w4 2018m1 |
2. | 6761 2 25jan2018 Thursday 25 1 2018 2018w4 2018m1 |
3. | 4493 3 26jan2018 Friday 26 1 2018 2018w4 2018m1 |
4. | 4192 7 30jan2018 Tuesday 30 1 2018 2018w5 2018m1 |
5. | 3799 6 29jan2018 Monday 29 1 2018 2018w5 2018m1 |
|-------------------------------------------------------------------------------|
6. | 3489 4 27jan2018 Saturday 27 1 2018 2018w4 2018m1 |
7. | 3188 5 28jan2018 Sunday 28 1 2018 2018w4 2018m1 |
8. | 2820 8 31jan2018 Wednesday 31 1 2018 2018w5 2018m1 |
9. | 2568 10 02feb2018 Friday 2 2 2018 2018w5 2018m2 |
10. | 2545 9 01feb2018 Thursday 1 2 2018 2018w5 2018m2 |
|-------------------------------------------------------------------------------|
11. | 2513 22 14feb2018 Wednesday 14 2 2018 2018w7 2018m2 |
12. | 2463 236 16sep2018 Sunday 16 9 2018 2018w37 2018m9 |
13. | 2308 14 06feb2018 Tuesday 6 2 2018 2018w6 2018m2 |
14. | 2167 12 04feb2018 Sunday 4 2 2018 2018w5 2018m2 |
15. | 2141 15 07feb2018 Wednesday 7 2 2018 2018w6 2018m2 |
|-------------------------------------------------------------------------------|
16. | 2141 16 08feb2018 Thursday 8 2 2018 2018w6 2018m2 |
17. | 2077 13 05feb2018 Monday 5 2 2018 2018w6 2018m2 |
18. | 1991 23 15feb2018 Thursday 15 2 2018 2018w7 2018m2 |
19. | 1867 11 03feb2018 Saturday 3 2 2018 2018w5 2018m2 |
20. | 1862 237 17sep2018 Monday 17 9 2018 2018w38 2018m9 |
|-------------------------------------------------------------------------------|
21. | 1747 18 10feb2018 Saturday 10 2 2018 2018w6 2018m2 |
22. | 1696 38 02mar2018 Friday 2 3 2018 2018w9 2018m3 |
23. | 1608 25 17feb2018 Saturday 17 2 2018 2018w7 2018m2 |
24. | 1579 21 13feb2018 Tuesday 13 2 2018 2018w7 2018m2 |
25. | 1448 17 09feb2018 Friday 9 2 2018 2018w6 2018m2 |
|-------------------------------------------------------------------------------|
26. | 1442 19 11feb2018 Sunday 11 2 2018 2018w6 2018m2 |
27. | 1411 24 16feb2018 Friday 16 2 2018 2018w7 2018m2 |
28. | 1409 32 24feb2018 Saturday 24 2 2018 2018w8 2018m2 |
29. | 1403 27 19feb2018 Monday 19 2 2018 2018w8 2018m2 |
30. | 1382 34 26feb2018 Monday 26 2 2018 2018w9 2018m2 |
|-------------------------------------------------------------------------------|
31. | 1354 48 12mar2018 Monday 12 3 2018 2018w11 2018m3 |
32. | 1333 37 01mar2018 Thursday 1 3 2018 2018w9 2018m3 |
33. | 1331 20 12feb2018 Monday 12 2 2018 2018w7 2018m2 |
34. | 1326 35 27feb2018 Tuesday 27 2 2018 2018w9 2018m2 |
35. | 1322 56 20mar2018 Tuesday 20 3 2018 2018w12 2018m3 |
|-------------------------------------------------------------------------------|
36. | 1294 238 18sep2018 Tuesday 18 9 2018 2018w38 2018m9 |
37. | 1289 26 18feb2018 Sunday 18 2 2018 2018w7 2018m2 |
38. | 1279 30 22feb2018 Thursday 22 2 2018 2018w8 2018m2 |
39. | 1268 239 19sep2018 Wednesday 19 9 2018 2018w38 2018m9 |
40. | 1266 29 21feb2018 Wednesday 21 2 2018 2018w8 2018m2 |
|-------------------------------------------------------------------------------|
41. | 1245 41 05mar2018 Monday 5 3 2018 2018w10 2018m3 |
42. | 1233 68 01apr2018 Sunday 1 4 2018 2018w13 2018m4 |
43. | 1227 57 21mar2018 Wednesday 21 3 2018 2018w12 2018m3 |
44. | 1186 33 25feb2018 Sunday 25 2 2018 2018w8 2018m2 |
45. | 1169 28 20feb2018 Tuesday 20 2 2018 2018w8 2018m2 |
|-------------------------------------------------------------------------------|
46. | 1161 351 09jan2019 Wednesday 9 1 2019 2019w2 2019m1 |
47. | 1159 50 14mar2018 Wednesday 14 3 2018 2018w11 2018m3 |
48. | 1146 69 02apr2018 Monday 2 4 2018 2018w14 2018m4 |
49. | 1138 153 25jun2018 Monday 25 6 2018 2018w26 2018m6 |
50. | 1130 51 15mar2018 Thursday 15 3 2018 2018w11 2018m3 |
|-------------------------------------------------------------------------------|
- In medians of intraday merits, and GMT time, lowest days are Friday, Saturday and Sunday, at 542, 587 and 617, respectively. - In means of intraday merits, and GMT time, lowest days are Friday, Saturday, and Thursday at 617, 622, and 678. - The highest day in terms of medians and means re both Monday, at 666 and 746, respectively. More details in the raw results below.
. 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 | 49.0 702.5 339.0 617.0 476.0 804.0 389.0 2463.0
Monday | 50.0 745.6 304.7 666.0 536.0 822.0 312.0 1862.0
Tuesday | 49.0 697.3 234.3 626.0 578.0 767.0 383.0 1326.0
Wednesday | 49.0 722.6 223.1 654.0 562.0 761.0 435.0 1268.0
Thursday | 49.0 677.6 225.7 643.0 514.0 774.0 347.0 1333.0
Friday | 49.0 616.4 234.5 542.0 475.0 698.0 348.0 1696.0
Saturday | 49.0 622.0 220.2 587.0 461.0 688.0 316.0 1409.0
----------+--------------------------------------------------------------------------------
Total | 344.0 683.6 260.1 621.5 516.5 770.5 312.0 2463.0
-------------------------------------------------------------------------------------------
- Outliers displayed with red circles. - Outliers non-displayed.
|
|
|
|
Intraday merits (from 24/1/2018 to 30/1/2019) Time series plots(1) Full dataset(2) Truncated datasetRaw statistics on before and after period (cut-off point is 09/01/2019, on which Default Trust Changed) . tabstat before090119 wkslater_2 wkslater_3, s(n mean sd p50 p25 p75 min max) format(%9.1f) c(s)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
before090119 | 324.0 677.0 263.0 616.5 510.5 766.5 312.0 2463.0
wkslater_2 | 14.0 840.4 191.4 845.5 658.0 987.0 611.0 1161.0
wkslater_3 | 21.0 781.9 179.5 715.0 643.0 880.0 587.0 1161.0
----------------------------------------------------------------------------------------------
Three weeks later 09/1/2019 (wkslater_3), both mean and median of intraday merits decreased in comparision to the period of two weeks later 09/1/2019 (wkslater_2). - Mean presented by mean. - Median presented by p50. Comparision between before and three-weeks-later period ( Green: increase, Red : decrease): - Mean: +15.51% (782 compared to 677) - Median: +15.88% (715 compared to 617) . di (782-677)*100/677
15.509601
. di (715-617)*100/617
15.883306
It seems that the assumption on the 30 percent increase of forum-generated sMerits that leads to 30 percent increase of intraday merits is wrong. The assumption was likely right in the two weeks later period, but for now, it seems to be wrong. It is what I expected, very close to my estimation based on the difference of medians of intra-days merits between periods before and after. nearly 30% increases of both sMerits generated for merit sources, and of median of total intraweek sMerits sent in the last two weeks. So, you maybe right that the rises of merit circulations last two weeks come from the re-allocation sMerits to merit sources and their sMerits-give-away activities. Anyway, let's see the merit circulation next few weeks to confirm the assumption. For the 30 days prior to Jan 9 it was already above 16000
|
|
|
|
Thanks LoyceV for another data dump in my topic. Intraday merits (converted dataset):For days in 2019: . 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 |
+-----------------------------------------------------------------------------+
For days in 2018, please check previous post. |
|
|
|
Exactly! Nevertheless, it's hard for newbies to investigate projects themselves and identify exactly which ones are scam, which ones are un-scam. The problem [serious one] occur when they got help from other forum users, DT members (who are more professional), with warning messages: "Scam project! Stay away from it, and stop supporting it!".If, after that, they keep supportin scam projects, and ignore all warning messages, they should be tagged red. It's the final destination for them. I disagree, we all have to take responsibility for our actions and this includes researching schemes before promoting them in exchange for payment.
"But I didn't know they were a scam" usually is more accurately written as "I didn't care if they were a scam, I just wanted the money."
|
|
|
|
Thank you for your help. sMerits come to me today, one of them come from you. Good post for newbies, you deserve merit but unfortunately I am out of smerit. I have put your post here so others merit source will review your post. This is a valuable suggestion, that I will take into my deeply consideration. The new trust system is complicated one, and it takes time for me to write such a informative topic. However I feel you can write more briefly if possible. Newbie should meet and understand how work trust system and what is their responsibility. Newbies also can help us to improve forum. This isn't not only DT responsible to keep forum clean and scam free.
Sure. If someone known something good, for the forum, for the crypto enthusiasts, especially the following two things, they should help others with their skills, knowledge, and GUIDEs. - Avoid investing and losing money into scam projects. - Contribute to improve the forum to become much cleaner (out of spambies), and become a more informative place. Everyone has their own roles in the forum. Even Newbies can be one of the most important components of the forum. Newbie also can help lot. Just try save himself from tag isn't good practice. They need help others also to avoid scam.
|
|
|
|
I found something probably wrong: - shitposters will not able to get thousands of merits (15k) like this. - making thousands of posts (583k) likely cause permanent ban due to plagiarism. Most of shitposters end with permanent bans. If you turn into someone like this, you should ask theymos to change the account name from Jet Cash to Jet Trash. I just kidding.  |
|
|
|
It looks a bit harsh and cruel to permanently ban an account for spamming, plagiarism, or whatever the (similar) reason is. It's like a lifetime prison!
Before starting a topic like this, you should read or re-read the pinned topic first. Unofficial list of (official) Bitcointalk.org rules, guidelines, FAQThe rule #33 (last one) is: 33. Posting plagiarized content is not allowed.[e]
And, theymos emphasized that even years after the publishing day of posts, if plagiarism found, users will get permanent ban. I will quote the original post of theymos later, when I saw it again, not found ATM. I don't remember where I read it  Recent weeks, one user raised a request to un-ban for permanent banned users if they improved over time (or something like this, if I remembered well). Alternatives to Permabans for plagarism (by hilariousetc) I have to hangout now, sorry.  |
|
|
|
I am never completely tied to anything, but let's try this for at least a few months and see how it works.
It takes a few months before adjustments on Trust system been made. By now, around 3 weeks after the activation of new trust algorithm, I saw some things, both positive (in green) and negative (in red): (1) A new generation of self-made higher ranked members voted into new Trust list They are inspirational stories that constructive and trustworthy users can play important roles in the forum, no matter what where they come from. Around one year ago, at the start of merit system, some DT1 members were Members, Junior Members or even Newbies. Within more than one year, fully contributed to the forum, they got acceptance and trust from forum community. They deserve for all their dedication to the forum. I congratulate them for their achievements! [Let's call it achievement] Case studies: iasenko, Coolcryptovator, ICOEthics, asche. The new DT1 Trust list (update on 29/1/2019)(2) There are abusements on Trust votes. I known that the Distrust mechanism will play a role here for abusement cases. However, it always takes time to discover abusers. It means that in early hours or days after get new Trusts, those abusers can scam forum users. In most cases, they often get distrust after found by other DT1 members or forum users. It is risky for forum users at somewhat extent. For me, I tend to careful when see someone who got a little bit Trust points. I admit that they are potentially better than me (of course, I don't have Green Trust, LOL), but some of them are potential Trust Abusers. Let's see how theymos deal with it by next improvements. |
|
|
|
Sorry, it's my bad mistake. What I wanted to write is previledges to display images, but I don't know why I wrote avatar. I already corrected my post. You're wrong. A user can only upload profile picture (avatar) when s/he ranks up to full member and above. The copper membership only comes with some privilege as the member rank like wearing signature, uploading image in text and not uploading an avatar.
For those cases, I known it well. In another topic, it is well known that there are several local moderators who can wear avatar, even when they are still newbies. It's not a bug of forum, at all.. You are wrong! Those lower rank users you see with avatar are does who were wearing one before the implementation of the new Avatar rule and others might be bug from the system (theymos still yet to address this issue)
There you go with statement from theymos Yes, it's the same as always. Currently there are 3 patrollers and 20 non-patroller local moderators. (I saw someone say elsewhere that all mods have jurisdiction over newbies, but this isn't true.) At some points in the past there have been more patrollers, but that's not necessarily indicative of a shortage.
In addition, one topic for your interest is available: Theymos, can you solve the mystery? newbie with 2 merit watering avatar? |
|
|
|
When someone reach the threshold at 10.010 activity count, they will get the new rank / badge, something like 'Elite'? Is there still the slightest chance of a new rank, its been discussed so many times but I think there are too many Legendary Members at the moment. Some got lucky with the 1000 Merit airdrop who were still Hero Members pre Merit System.
I think an Elite rank or Lambo member would be awesome achievable by 2000 Activity & 2000 Merit.
I think that the threshold at 10.010 is more appropriate one, than 2000. Why? Even, by now, Hero and Ledgendary ranks have same rights in the forum, so I think we should have an extremely high threshold for next rank. The next rank, probably gives forum members who have it, a more respectful view from others (no more rights/ priviledges). |
|
|
|
Good information. So i need to be Full Member before having profile picture feature?
yeap, you have too options: - Making your efforts and self-promoting to a Full Member; - Buying a Copper Membership, will give some priveledges, except wearing avatar. Allows you to post images even if you are a newbie, reduces the time-between-actions limit, and provides some of the same benefits as being of natural Member rank.
Remember that there are two payment gates available for now: BTC, and Grin coin. The paid rate in Grin coin will change over time by manual setup by theymos, forum admin. More details are available there: Paid Copper Memberships |
|
|
|
You well pinpointed, Cashi. I updated the OP will clearer and more exactly details. One sMerits goes to you for the helpful post. Keep up your works and contribution, fella. < ... >
|
|
|
|
It's true. I have not been in crypto for too long, but during my nearly two years in the crypto market, I have not seen congestions on Dogecoin network. It's amazing, honestly. Even bitcoin, Ethereum congested sometime. Yes, you are right dogecoin will not die in the market due to because it blockchain confirmations are very fast compared to others.
Gambling sites tend to use Dogecoin as one of their basic payment gates. Now, most of the gambling sites are using one of the payment methods for betting, so there is a huge chance for the Doge to increase it's price once the market starts recovering.
|
|
|
|
I have one question in mind.
Is it considerable if someone's been away for a week not touching his account and within that timeframe the signature campaign he's been wearing is being accused as scammer. After getting back from his account he received a negative trust from a DT member, can he prove it that he's been away around that time and too late to know that the campaign he joined is scam?
Yeap, I think that DT members will check last active days of applicants before dropping red tags on them. Applicants who still been actively in the forum, but simply ignore warning should be tagged, whislts in-active ones should not be tagged. |
|
|
|
Having a rude and impolite behavior against DTs, Admins, and the current System
Nice suggestion, but I would like to know original post of this quote. Where is it? I will think of it more before adding into the OP. I need more information. Thank you, cabalism13. |
|
|
|
You should change the title to passive phrase like "Guide to avoid getting red tagged before joining sig. campaigns". It is more appealing to read.
'GUIDE TO AVOID RED TAGS
DUE TO PROBABLE LACK OF KNOWLEDGE, CAREFULLNESS, AND ABUNDANT GREEDINESS'
I find this phrase incomplete and lacking of something.
'Due to lack of knowledge, carelessness and greediness...' you need to add something at the end that points out what to finish your sentence. I also fixed some of the words you used.
Hope this helps!
Thank you, fella. I have still thought of relevant tittle for my topic. |
|
|
|
Promoting a project which turns out to be scam is not worthy of a red trust (this is my opinion), except it can be proven that the user had information about the scam, or found out at a later time and did not expose the developers.
It's possible to unknowingly enter a promotion campaign for a scam project.
The topic has been under construction. Anyway, thanks for your contribution. 1) Join and support already known scam projects;
|
|
|
|
|
Show Posts
