BitVest campaign observations (since 30/12/2018 to 23/6/2019)
26 weeks in total, so far (only weeks managed by Hhampuz).
Converted dataset from the spreadsheet:. list, abb(30)
+--------------------------------------------------------------------------------------------------+
| id week postcount btcpaid day month2 year date week2 month quarter |
|--------------------------------------------------------------------------------------------------|
1. | 1 1 1195 .0712025 30 12 2018 30dec2018 2018w52 2018m12 2018q4 |
2. | 2 2 1544 .09399 6 1 2019 06jan2019 2019w1 2019m1 2019q1 |
3. | 3 3 1666 .09738 13 1 2019 13jan2019 2019w2 2019m1 2019q1 |
4. | 4 4 1513 .09014 20 1 2019 20jan2019 2019w3 2019m1 2019q1 |
5. | 5 5 1523 .092315 27 1 2019 27jan2019 2019w4 2019m1 2019q1 |
|--------------------------------------------------------------------------------------------------|
6. | 6 6 1500 .090766 3 2 2019 03feb2019 2019w5 2019m2 2019q1 |
7. | 7 7 1455 .088646 10 2 2019 10feb2019 2019w6 2019m2 2019q1 |
8. | 8 8 1418 .085241 17 2 2019 17feb2019 2019w7 2019m2 2019q1 |
9. | 9 9 1435 .087748 24 2 2019 24feb2019 2019w8 2019m2 2019q1 |
10. | 10 10 1322 .08303 3 3 2019 03mar2019 2019w9 2019m3 2019q1 |
|--------------------------------------------------------------------------------------------------|
11. | 11 11 1116 .08944 10 3 2019 10mar2019 2019w10 2019m3 2019q1 |
12. | 12 12 1663 .093939 17 3 2019 17mar2019 2019w11 2019m3 2019q1 |
13. | 13 13 1523 .093524 24 3 2019 24mar2019 2019w12 2019m3 2019q1 |
14. | 14 14 1408 .086465 31 3 2019 31mar2019 2019w13 2019m3 2019q1 |
15. | 15 15 1510 .091433 7 4 2019 07apr2019 2019w14 2019m4 2019q2 |
|--------------------------------------------------------------------------------------------------|
16. | 16 16 1391 .087986 14 4 2019 14apr2019 2019w15 2019m4 2019q2 |
17. | 17 17 1450 .086992 21 4 2019 21apr2019 2019w16 2019m4 2019q2 |
18. | 18 18 1492 .090028 28 4 2019 28apr2019 2019w17 2019m4 2019q2 |
19. | 19 19 1291 .0775045 5 5 2019 05may2019 2019w18 2019m5 2019q2 |
20. | 20 20 1447 .084589 12 5 2019 12may2019 2019w19 2019m5 2019q2 |
|--------------------------------------------------------------------------------------------------|
21. | 21 21 1551 .091493 19 5 2019 19may2019 2019w20 2019m5 2019q2 |
22. | 22 22 1560 .094425 26 5 2019 26may2019 2019w21 2019m5 2019q2 |
23. | 23 23 1659 .0887885 2 6 2019 02jun2019 2019w22 2019m6 2019q2 |
24. | 24 24 1650 .089767 9 6 2019 09jun2019 2019w23 2019m6 2019q2 |
25. | 25 25 1618 .0916645 16 6 2019 16jun2019 2019w24 2019m6 2019q2 |
|--------------------------------------------------------------------------------------------------|
26. | 26 26 1738 .0968755 23 6 2019 23jun2019 2019w25 2019m6 2019q2 |
+--------------------------------------------------------------------------------------------------+
Time series plots: Statistics:- Postcount: 50% of observed weeks have total postcounts above 1505, whilst 50% of rest weeks have total postcounts below 1505, the median (p50). The mean and standard deviation are 1487 and 146, respectively. Min and max are 1116 and
1738 (the previous all time high is at 1666), respectively. 50% of total weekly postcounts range from 1418 to 1560 (the interquartile range from p25 to p75).
- BTC paid: 50% of observed weeks have total BTC paid above 0.0899, whilst 50% of rest weeks have total BTC paid below 0.0899, the median (p50). The mean and standard deviation are 0.0891 and 0.0057 respectively. Min and max are 0.0712 and 0.0974, respectively. 50% of total weekly BTC-paid range from 0.087 to 0.0923 (the interquartile range from p25 to p75).
. tabstat postcount btcpaid, s(n mean sd p50 p25 p75 min max) c(s)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
postcount | 26 1486.077 145.7993 1505 1418 1560 1116 1738
btcpaid | 26 .0890528 .005654 .0898975 .086992 .092315 .0712025 .09738
----------------------------------------------------------------------------------------------
List of weeks in descending orders of total postcounts or total BTC paid
Postcount:. list postcount week day month2 year date week2 month quarter, abb(30)
+----------------------------------------------------------------------------------+
| postcount week day month2 year date week2 month quarter |
|----------------------------------------------------------------------------------|
1. | 1738 26 23 6 2019 23jun2019 2019w25 2019m6 2019q2 |
2. | 1666 3 13 1 2019 13jan2019 2019w2 2019m1 2019q1 |
3. | 1663 12 17 3 2019 17mar2019 2019w11 2019m3 2019q1 |
4. | 1659 23 2 6 2019 02jun2019 2019w22 2019m6 2019q2 |
5. | 1650 24 9 6 2019 09jun2019 2019w23 2019m6 2019q2 |
|----------------------------------------------------------------------------------|
6. | 1618 25 16 6 2019 16jun2019 2019w24 2019m6 2019q2 |
7. | 1560 22 26 5 2019 26may2019 2019w21 2019m5 2019q2 |
8. | 1551 21 19 5 2019 19may2019 2019w20 2019m5 2019q2 |
9. | 1544 2 6 1 2019 06jan2019 2019w1 2019m1 2019q1 |
10. | 1523 13 24 3 2019 24mar2019 2019w12 2019m3 2019q1 |
|----------------------------------------------------------------------------------|
11. | 1523 5 27 1 2019 27jan2019 2019w4 2019m1 2019q1 |
12. | 1513 4 20 1 2019 20jan2019 2019w3 2019m1 2019q1 |
13. | 1510 15 7 4 2019 07apr2019 2019w14 2019m4 2019q2 |
14. | 1500 6 3 2 2019 03feb2019 2019w5 2019m2 2019q1 |
15. | 1492 18 28 4 2019 28apr2019 2019w17 2019m4 2019q2 |
|----------------------------------------------------------------------------------|
16. | 1455 7 10 2 2019 10feb2019 2019w6 2019m2 2019q1 |
17. | 1450 17 21 4 2019 21apr2019 2019w16 2019m4 2019q2 |
18. | 1447 20 12 5 2019 12may2019 2019w19 2019m5 2019q2 |
19. | 1435 9 24 2 2019 24feb2019 2019w8 2019m2 2019q1 |
20. | 1418 8 17 2 2019 17feb2019 2019w7 2019m2 2019q1 |
|----------------------------------------------------------------------------------|
21. | 1408 14 31 3 2019 31mar2019 2019w13 2019m3 2019q1 |
22. | 1391 16 14 4 2019 14apr2019 2019w15 2019m4 2019q2 |
23. | 1322 10 3 3 2019 03mar2019 2019w9 2019m3 2019q1 |
24. | 1291 19 5 5 2019 05may2019 2019w18 2019m5 2019q2 |
25. | 1195 1 30 12 2018 30dec2018 2018w52 2018m12 2018q4 |
|----------------------------------------------------------------------------------|
26. | 1116 11 10 3 2019 10mar2019 2019w10 2019m3 2019q1 |
+----------------------------------------------------------------------------------+
BTC paid:. list btcpaid week day month2 year date week2 month quarter, abb(30)
+---------------------------------------------------------------------------------+
| btcpaid week day month2 year date week2 month quarter |
|---------------------------------------------------------------------------------|
1. | .09738 3 13 1 2019 13jan2019 2019w2 2019m1 2019q1 |
2. | .0968755 26 23 6 2019 23jun2019 2019w25 2019m6 2019q2 |
3. | .094425 22 26 5 2019 26may2019 2019w21 2019m5 2019q2 |
4. | .09399 2 6 1 2019 06jan2019 2019w1 2019m1 2019q1 |
5. | .093939 12 17 3 2019 17mar2019 2019w11 2019m3 2019q1 |
|---------------------------------------------------------------------------------|
6. | .093524 13 24 3 2019 24mar2019 2019w12 2019m3 2019q1 |
7. | .092315 5 27 1 2019 27jan2019 2019w4 2019m1 2019q1 |
8. | .0916645 25 16 6 2019 16jun2019 2019w24 2019m6 2019q2 |
9. | .091493 21 19 5 2019 19may2019 2019w20 2019m5 2019q2 |
10. | .091433 15 7 4 2019 07apr2019 2019w14 2019m4 2019q2 |
|---------------------------------------------------------------------------------|
11. | .090766 6 3 2 2019 03feb2019 2019w5 2019m2 2019q1 |
12. | .09014 4 20 1 2019 20jan2019 2019w3 2019m1 2019q1 |
13. | .090028 18 28 4 2019 28apr2019 2019w17 2019m4 2019q2 |
14. | .089767 24 9 6 2019 09jun2019 2019w23 2019m6 2019q2 |
15. | .08944 11 10 3 2019 10mar2019 2019w10 2019m3 2019q1 |
|---------------------------------------------------------------------------------|
16. | .0887885 23 2 6 2019 02jun2019 2019w22 2019m6 2019q2 |
17. | .088646 7 10 2 2019 10feb2019 2019w6 2019m2 2019q1 |
18. | .087986 16 14 4 2019 14apr2019 2019w15 2019m4 2019q2 |
19. | .087748 9 24 2 2019 24feb2019 2019w8 2019m2 2019q1 |
20. | .086992 17 21 4 2019 21apr2019 2019w16 2019m4 2019q2 |
|---------------------------------------------------------------------------------|
21. | .086465 14 31 3 2019 31mar2019 2019w13 2019m3 2019q1 |
22. | .085241 8 17 2 2019 17feb2019 2019w7 2019m2 2019q1 |
23. | .084589 20 12 5 2019 12may2019 2019w19 2019m5 2019q2 |
24. | .08303 10 3 3 2019 03mar2019 2019w9 2019m3 2019q1 |
25. | .0775045 19 5 5 2019 05may2019 2019w18 2019m5 2019q2 |
|---------------------------------------------------------------------------------|
26. | .0712025 1 30 12 2018 30dec2018 2018w52 2018m12 2018q4 |
+---------------------------------------------------------------------------------+