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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 4/3/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 4/3/2019 truncated as well due to incomplete week (the tenth week of 2019, 2019w10);
- Statistics presented in the post are for truncated dataset.
(1) Potential outliers are days that have intraday total merits beyond 146 or 1138;
(2) Median of intraday merits over the period is 619;
(3) 50% of observed days have their intra-day merits range from 518 to 766 (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 548, and 612, respectively.
(5) Monday [in GMT time] is the day over weeks has highest intraday merits in terms of both median and mean, at 662, and 744, respectively.
(6) There are 23 potential outliers in total, and there is only one potential outlier day happened in early weeks of 2019, on 09 Jan. 2019, at 1161.
(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 4491;
(2) 50% of observed weeks (58 weeeks in total), have total merits in the range from 3818 to 5487 (the interquaritle range of intra-week merits);
(3) Minimum and maximum of intraweek merits are 3065 and 30949, in 2018w35, and 2018w4, respectively;
(4) Six potential outliers [beyond 1055 or 8375], all of them occurred in the year 2018.
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Update on intra-week merits (from 24/1/2018 to 4/3/2019)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 |
+-----------------+
- 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. - 50% of observed weeks have total intra-week merits fluctuated in the range from 3818 to 5487 (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 | 58 5745.276 4348.639 4490.5 3818 5487 3065 30949
----------------------------------------------------------------------------------------------
Potential outliers: . di 5487-3818
1669
. di 1669*1.5
2503.5
. di 5487+2503.5
7990.5
. di 3818-2503.5
1314.5
It means that potential outliers are weeks that have intra-week merits beyond 1314.5 or 7990.5 How many weeks are potential outliers? . count if (merit >= 7990.5 | merit < 1314.5) & merit != .
6
6 weeks are outliers, in total. List of those six weeks: . list merit week if merit >=7990.5 | merit <=1314.5
+----------------+
| merit week |
|----------------|
1. | 30949 2018w4 |
2. | 19958 2018w5 |
3. | 13304 2018w6 |
4. | 11722 2018w7 |
5. | 8758 2018w8 |
|----------------|
6. | 8806 2018w9 |
+----------------+
All of them occured in the year 2018. 
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Medians and means of intra-day merits over days of weeks.- In median, the highest days are Monday, Wednesday, and Thursday at 674, 653, and 640, respectively; whislt the lowest days are Friday, Saturday, and Sunday at 548, 601, and 608, respectively. - In means, the highest days are Monday, Wednesday, and both Sunday, Tuesday at 744, 711, and 700, respectively; whilst the lowest days are Friday, Saturday, and Thursday at 612, 623, and 668, respectively. - In both medians and means, Monday is the highest day, whilst the lowest day is Friday. Calendar day is in GMT time.To take away all doubt: the first Merit was this one: 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 | 54.0 699.4 326.8 607.5 486.0 804.0 389.0 2463.0
Monday | 55.0 743.4 292.5 674.0 562.0 822.0 312.0 1862.0
Tuesday | 54.0 694.7 224.3 627.0 580.0 767.0 383.0 1326.0
Wednesday | 54.0 711.0 216.6 653.0 558.0 759.0 435.0 1268.0
Thursday | 54.0 667.7 218.9 639.5 509.0 764.0 347.0 1333.0
Friday | 54.0 611.7 224.1 548.0 479.0 682.0 348.0 1696.0
Saturday | 54.0 622.9 216.5 600.5 461.0 688.0 316.0 1409.0
----------+--------------------------------------------------------------------------------
Total | 379.0 678.9 251.2 619.0 518.0 766.0 312.0 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 15 07feb2018 Wednesday 7 2 2018 2018w6 2018m2 |
|-------------------------------------------------------------------------------|
16. | 2141 16 08feb2018 Thursday 8 2 2018 2018w6 2018m2 |
17. | 2077 13 05feb2018 Monday 5 2 2018 2018w6 2018m2 |
18. | 1991 23 15feb2018 Thursday 15 2 2018 2018w7 2018m2 |
19. | 1867 11 03feb2018 Saturday 3 2 2018 2018w5 2018m2 |
20. | 1862 237 17sep2018 Monday 17 9 2018 2018w38 2018m9 |
|-------------------------------------------------------------------------------|
21. | 1747 18 10feb2018 Saturday 10 2 2018 2018w6 2018m2 |
22. | 1696 38 02mar2018 Friday 2 3 2018 2018w9 2018m3 |
23. | 1608 25 17feb2018 Saturday 17 2 2018 2018w7 2018m2 |
24. | 1579 21 13feb2018 Tuesday 13 2 2018 2018w7 2018m2 |
25. | 1448 17 09feb2018 Friday 9 2 2018 2018w6 2018m2 |
|-------------------------------------------------------------------------------|
26. | 1442 19 11feb2018 Sunday 11 2 2018 2018w6 2018m2 |
27. | 1411 24 16feb2018 Friday 16 2 2018 2018w7 2018m2 |
28. | 1409 32 24feb2018 Saturday 24 2 2018 2018w8 2018m2 |
29. | 1403 27 19feb2018 Monday 19 2 2018 2018w8 2018m2 |
30. | 1382 34 26feb2018 Monday 26 2 2018 2018w9 2018m2 |
|-------------------------------------------------------------------------------|
31. | 1354 48 12mar2018 Monday 12 3 2018 2018w11 2018m3 |
32. | 1333 37 01mar2018 Thursday 1 3 2018 2018w9 2018m3 |
33. | 1331 20 12feb2018 Monday 12 2 2018 2018w7 2018m2 |
34. | 1326 35 27feb2018 Tuesday 27 2 2018 2018w9 2018m2 |
35. | 1322 56 20mar2018 Tuesday 20 3 2018 2018w12 2018m3 |
|-------------------------------------------------------------------------------|
36. | 1294 238 18sep2018 Tuesday 18 9 2018 2018w38 2018m9 |
37. | 1289 26 18feb2018 Sunday 18 2 2018 2018w7 2018m2 |
38. | 1279 30 22feb2018 Thursday 22 2 2018 2018w8 2018m2 |
39. | 1268 239 19sep2018 Wednesday 19 9 2018 2018w38 2018m9 |
40. | 1266 29 21feb2018 Wednesday 21 2 2018 2018w8 2018m2 |
|-------------------------------------------------------------------------------|
41. | 1245 41 05mar2018 Monday 5 3 2018 2018w10 2018m3 |
42. | 1233 68 01apr2018 Sunday 1 4 2018 2018w13 2018m4 |
43. | 1227 57 21mar2018 Wednesday 21 3 2018 2018w12 2018m3 |
44. | 1186 33 25feb2018 Sunday 25 2 2018 2018w8 2018m2 |
45. | 1169 28 20feb2018 Tuesday 20 2 2018 2018w8 2018m2 |
|-------------------------------------------------------------------------------|
46. | 1161 351 09jan2019 Wednesday 9 1 2019 2019w2 2019m1 |
47. | 1159 50 14mar2018 Wednesday 14 3 2018 2018w11 2018m3 |
48. | 1146 69 02apr2018 Monday 2 4 2018 2018w14 2018m4 |
49. | 1138 153 25jun2018 Monday 25 6 2018 2018w26 2018m6 |
50. | 1130 51 15mar2018 Thursday 15 3 2018 2018w11 2018m3 |
|-------------------------------------------------------------------------------|
List of the top 50-lowest days in terms of intra-day merits: . 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. | 376 342 31dec2018 Monday 31 12 2018 2018w52 2018m12 |
9. | 376 191 02aug2018 Thursday 2 8 2018 2018w31 2018m8 |
10. | 377 326 15dec2018 Saturday 15 12 2018 2018w50 2018m12 |
|-------------------------------------------------------------------------------|
11. | 379 220 31aug2018 Friday 31 8 2018 2018w35 2018m8 |
12. | 383 217 28aug2018 Tuesday 28 8 2018 2018w35 2018m8 |
13. | 385 214 25aug2018 Saturday 25 8 2018 2018w34 2018m8 |
14. | 386 339 28dec2018 Friday 28 12 2018 2018w52 2018m12 |
15. | 389 341 30dec2018 Sunday 30 12 2018 2018w52 2018m12 |
|-------------------------------------------------------------------------------|
16. | 394 345 03jan2019 Thursday 3 1 2019 2019w1 2019m1 |
17. | 395 228 08sep2018 Saturday 8 9 2018 2018w36 2018m9 |
18. | 397 320 09dec2018 Sunday 9 12 2018 2018w49 2018m12 |
19. | 399 262 12oct2018 Friday 12 10 2018 2018w41 2018m10 |
20. | 402 329 18dec2018 Tuesday 18 12 2018 2018w51 2018m12 |
|-------------------------------------------------------------------------------|
21. | 405 287 06nov2018 Tuesday 6 11 2018 2018w45 2018m11 |
22. | 412 222 02sep2018 Sunday 2 9 2018 2018w35 2018m9 |
23. | 412 403 02mar2019 Saturday 2 3 2019 2019w9 2019m3 |
24. | 415 109 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. | 430 284 03nov2018 Saturday 3 11 2018 2018w44 2018m11 |
34. | 430 264 14oct2018 Sunday 14 10 2018 2018w41 2018m10 |
35. | 432 221 01sep2018 Saturday 1 9 2018 2018w35 2018m9 |
|-------------------------------------------------------------------------------|
36. | 432 208 19aug2018 Sunday 19 8 2018 2018w33 2018m8 |
37. | 433 282 01nov2018 Thursday 1 11 2018 2018w44 2018m11 |
38. | 435 190 01aug2018 Wednesday 1 8 2018 2018w31 2018m8 |
39. | 435 154 26jun2018 Tuesday 26 6 2018 2018w26 2018m6 |
40. | 444 182 24jul2018 Tuesday 24 7 2018 2018w30 2018m7 |
|-------------------------------------------------------------------------------|
41. | 445 143 15jun2018 Friday 15 6 2018 2018w24 2018m6 |
42. | 450 373 31jan2019 Thursday 31 1 2019 2019w5 2019m1 |
43. | 451 206 17aug2018 Friday 17 8 2018 2018w33 2018m8 |
44. | 454 283 02nov2018 Friday 2 11 2018 2018w44 2018m11 |
45. | 455 229 09sep2018 Sunday 9 9 2018 2018w36 2018m9 |
|-------------------------------------------------------------------------------|
46. | 455 167 09jul2018 Monday 9 7 2018 2018w28 2018m7 |
47. | 457 216 27aug2018 Monday 27 8 2018 2018w35 2018m8 |
48. | 458 227 07sep2018 Friday 7 9 2018 2018w36 2018m9 |
49. | 458 324 13dec2018 Thursday 13 12 2018 2018w50 2018m12 |
50. | 460 263 13oct2018 Saturday 13 10 2018 2018w41 2018m10 |
|-------------------------------------------------------------------------------|
During the period from 24/1/2018 to 4/3/2019, 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 | 403.0 777.8 511.8 636.0 523.0 807.0 312.0 4493.0
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 97 or 1233 There are 40 outliers in full dataset, in total. Those days are: . list id merit date if (merit >= 1233 | merit <= 97) & merit != .
+-------------------------+
| id merit date |
|-------------------------|
1. | 3 4493 26jan2018 |
2. | 4 3489 27jan2018 |
3. | 5 3188 28jan2018 |
4. | 6 3799 29jan2018 |
5. | 7 4192 30jan2018 |
|-------------------------|
6. | 8 2820 31jan2018 |
7. | 9 2545 01feb2018 |
8. | 10 2568 02feb2018 |
9. | 11 1867 03feb2018 |
10. | 12 2167 04feb2018 |
|-------------------------|
11. | 13 2077 05feb2018 |
12. | 14 2308 06feb2018 |
13. | 15 2141 07feb2018 |
14. | 16 2141 08feb2018 |
15. | 17 1448 09feb2018 |
|-------------------------|
16. | 18 1747 10feb2018 |
17. | 19 1442 11feb2018 |
18. | 20 1331 12feb2018 |
19. | 21 1579 13feb2018 |
20. | 22 2513 14feb2018 |
|-------------------------|
21. | 23 1991 15feb2018 |
22. | 24 1411 16feb2018 |
23. | 25 1608 17feb2018 |
24. | 26 1289 18feb2018 |
25. | 27 1403 19feb2018 |
|-------------------------|
27. | 29 1266 21feb2018 |
28. | 30 1279 22feb2018 |
30. | 32 1409 24feb2018 |
32. | 34 1382 26feb2018 |
33. | 35 1326 27feb2018 |
|-------------------------|
35. | 37 1333 01mar2018 |
36. | 38 1696 02mar2018 |
39. | 41 1245 05mar2018 |
46. | 48 1354 12mar2018 |
54. | 56 1322 20mar2018 |
|-------------------------|
66. | 68 1233 01apr2018 |
234. | 236 2463 16sep2018 |
235. | 237 1862 17sep2018 |
236. | 238 1294 18sep2018 |
237. | 239 1268 19sep2018 |
+-------------------------+
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 | 379.0 678.9 251.2 619.0 518.0 766.0 312.0 2463.0
----------------------------------------------------------------------------------------------
Applied same formulas I used in earlier analyses, potential outliers are days have intra-day merits beyond 146 or 1138. There are 23 outliers in total, only one of them occured in 2019, on 09/1/2019 with 1161 merits on that day. . list id merit date if (merit >= 1138 | merit <= 146) & merit != .
+-------------------------+
| id merit date |
|-------------------------|
1. | 27 1403 19feb2018 |
2. | 28 1169 20feb2018 |
3. | 29 1266 21feb2018 |
4. | 30 1279 22feb2018 |
6. | 32 1409 24feb2018 |
|-------------------------|
7. | 33 1186 25feb2018 |
8. | 34 1382 26feb2018 |
9. | 35 1326 27feb2018 |
11. | 37 1333 01mar2018 |
12. | 38 1696 02mar2018 |
|-------------------------|
15. | 41 1245 05mar2018 |
22. | 48 1354 12mar2018 |
24. | 50 1159 14mar2018 |
30. | 56 1322 20mar2018 |
31. | 57 1227 21mar2018 |
|-------------------------|
42. | 68 1233 01apr2018 |
43. | 69 1146 02apr2018 |
127. | 153 1138 25jun2018 |
210. | 236 2463 16sep2018 |
211. | 237 1862 17sep2018 |
|-------------------------|
212. | 238 1294 18sep2018 |
213. | 239 1268 19sep2018 |
325. | 351 1161 09jan2019 |
+-------------------------+
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The man at the top (Loycev) can be one of the best candidate if theymos want B&H section to be highly moderated.
You made great suggestion for LoyceV, who is the celebrity and most trusted in the forum despite of his trust point is not too high compared to others. I guess it is mainly because he has not managed many campaigns, and don't exchange directly with others. His wins in the ChipMixer campaign almost everyweek tell us everything.
Nevertheless, I doubt that LoyceV will take the task as forum moderators. He is likely have more interests in his own statistical analyses. 
I had to wait more months till the day LoyceV decided to help me with weekly merit data dumps. From that day, merits started coming to me more regularly. Once again, thanks LoyceV for all your data dumps in my topic. |
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You get a Trust list supervote: - You must have at least 10 people directly trusting you each with an earned merit of at least 10, not including merit you yourself sent. These "votes" are limited. - You must have at least 2 people directly trusting you with an earned merit of at least 250, not including merit you yourself sent. These "votes" are limited. Besides your own benefit with 250 earned merits, mentioned by LoyceV above, I started the clubs for the two main objectives. You can get them in the OP: Objectives:
(1) Giving them a round of applause for their consecutive contributions;
(2) Giving other forum users their inspirational stories, from which they can learn from those honourable guys' merited posts/ topics.
To be honest, months ago, I felt like merits ruin my life. Then, I known I won't get anything if I keep dissapointed and have negative response with merit system. So, you know what? I tried to learn from the most merited users during those early days, like @Jet Cash (who was like a shooting star in the short period after merit system activated), @nullius (that I can not learn from him due to my limited experience in technical issues), @coinlocket$ and @DdmrDdmr (who I admired and learned the ways the contribute with statistical analyses), and others. That's one of main reasons why I started this one, and I believe it is helpful for newbies readily to improve themselves. |
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(I had to reload the page several times for all images to load. F5 didn't work, going to the URL-bar and pressing Enter works)
< ... >
I can make much lighter time-series plots, rather than your bar charts. I will do it for you if you want. I made a time-series of my earned merits there Here is a time-series plot of my received merits, from 28/2/2018 to 19/2/2019 It looks like a random walk. |
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Congratulations, mikeywith! You made it, within four months, and you again demonstrated that merit system does not ruin any forum user. I added your story into my topic. However, for now I only added in the Senior Member stories, but I will move your story to Hero Member stories when you promoted, and if you won't get banned before that finish line. There are some guys got lots of merits, then got banned, perma banned, I don't know why. So, be careful, fella. Inspirational stories from self-made promoted users
Who usually comlained about merit system should look at those stories, and shut-off (sorry, it sounds arrogant a little bit), learn more, and improve themselves to promote over time. |
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The case of cryptovigi, demonstrates the fact that promoted users will got abundantly merits after each time they ranked up.
Look at this, after promoted, cryptovigi got more than 20 merits in a few days. That is the same as what I experienced after promoted to a Full Member months ago.
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Once again, for the OP, Whatever your decision, approach to do in order to get bitcoins, the first priority for you is: - Securing your devices (desktop computers, laptops, mobile devices) which you use to connect to your wallets, exchanges' account, etc. You can luckily and / or smartly to get 100, 1000, or even 10.000 bitcoins, but if your devices are not secured enough, you will lose them all someday. It's key in crypto, be safe first!
For security, I have a topic on this issue, but you should secure your devices with professional softwares, not free online ones. [Guide] Virustotal scan guideline to detect viruses, trojans, malwares, worms
Next priority, is to backup your bitcoin wallet for later use, in cases your devices broken, or any case worse. The step should be done simultaneously with backups of your exchanges' accounts, 2FA, and your emails as well. For this step, you can find them in the topic I gave in my previous thread. |
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For the OP newbie, Mining is one of the most stressful way to make money in crypto, especially in the bearish market or long period after crashes. You will get stucked with your devices, your electricity bills, with big minus point is unprofitable earnings from mining, from your rigs.
There are so many ways to earn bitcoins in crypto: - Mining. - Trading - Investing. - Bounty hunting - Services providing (such as signature / avatar/ OP designs, translations, etc.) Nevertheless, before choosing any of them, you should prepare yourself first with enough knowledge, and skills. I give you some comprehensive topics for your interests during your early days in crypto: [GUIDES] on Bitcointalk. Index thread (until there is a dedicated subforum?)I shown only one topic, but inside it, you can find almost everything you need. |
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Ooops. You made me shocked, OP. In fact, I known about your story days ago, when you got massive merits in-a-row and ranked up. Your case, once again, a very good example that merits come naturally to quality contributions (posts/ topics). Sometimes, they come sparsely, whilst sometimes they come abundantly and consecutively. I experienced it myself, too.
Before ranking up to a Full Member, I felt tired, extremely tired and almost gave up. After the day I ranked up, consecutive weeks later, merits come to me in-a-row, I earned around more than 120 merits since Dec. 2018. It's too fast. Recent weeks, it seems that I got stucked again, but I will keep contributing constructive, helpful things, and don't give up. Some day, I will cross the Senior Finish Line.
Congratulations, cryptovigi! And, your story has been added there: Inspirational stories from self-made promoted users |
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I known that total merit sources have not changed, but one guy applied to be a merit source in Polish board. [Polish section] Merit source applicationConsequently, those topics he/she mentioned to apply got massive merits. It is not only reasons of last week merit rises, but maybe one of partial or componential reasons. I don't know Polish, but you can scrap data to see which boards have highest merit circulation last week.
Additionally, this one: https://bitcointalk.org/index.php?topic=4315322.0This is why in previous thread, I mentioned several merit source applications. |
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