BitVest campaign observations (since 30/12/2018 to 19/5/2019)
21 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 |
+--------------------------------------------------------------------------------------------------+
Time series plots: The time series plots show that both weekly postcounts and BTC-paid have reached new all time high last week.
Statistics:- Postcount: 50% of observed weeks have total postcounts above 1455, whilst 50% of rest weeks have total postcounts below 1455, the median (p50). The mean and standard deviation are 1449 and 134, respectively. Min and max are 1116 and 1666, respectively. 50% of total weekly postcounts range from 1408 to 1523 (the interquartile range from p25 to p75).
- BTC paid: 50% of observed weeks have total BTC paid above 0.089, whilst 50% of rest weeks have total BTC paid below 0.089, the median (p50). The mean and standard deviation are 0.0883 and 0.0059 respectively. Min and max aare 0.0712 and 0.0974, respectively. 50% of total weekly BTC-paid range from 0.865 to 0.915 (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 | 21 1448.238 133.8398 1455 1408 1523 1116 1666
btcpaid | 21 .0882787 .0058701 .08944 .086465 .091493 .0712025 .09738
----------------------------------------------------------------------------------------------
List of weeks in descending orders of total postcounts or total BTC paid
Postcount:. list postcount day month2 year date week2 month quarter, abb(30)
+---------------------------------------------------------------------------+
| postcount day month2 year date week2 month quarter |
|---------------------------------------------------------------------------|
1. | 1666 13 1 2019 13jan2019 2019w2 2019m1 2019q1 |
2. | 1663 17 3 2019 17mar2019 2019w11 2019m3 2019q1 |
3. | 1551 19 5 2019 19may2019 2019w20 2019m5 2019q2 |
4. | 1544 6 1 2019 06jan2019 2019w1 2019m1 2019q1 |
5. | 1523 27 1 2019 27jan2019 2019w4 2019m1 2019q1 |
|---------------------------------------------------------------------------|
6. | 1523 24 3 2019 24mar2019 2019w12 2019m3 2019q1 |
7. | 1513 20 1 2019 20jan2019 2019w3 2019m1 2019q1 |
8. | 1510 7 4 2019 07apr2019 2019w14 2019m4 2019q2 |
9. | 1500 3 2 2019 03feb2019 2019w5 2019m2 2019q1 |
10. | 1492 28 4 2019 28apr2019 2019w17 2019m4 2019q2 |
|---------------------------------------------------------------------------|
11. | 1455 10 2 2019 10feb2019 2019w6 2019m2 2019q1 |
12. | 1450 21 4 2019 21apr2019 2019w16 2019m4 2019q2 |
13. | 1447 12 5 2019 12may2019 2019w19 2019m5 2019q2 |
14. | 1435 24 2 2019 24feb2019 2019w8 2019m2 2019q1 |
15. | 1418 17 2 2019 17feb2019 2019w7 2019m2 2019q1 |
|---------------------------------------------------------------------------|
16. | 1408 31 3 2019 31mar2019 2019w13 2019m3 2019q1 |
17. | 1391 14 4 2019 14apr2019 2019w15 2019m4 2019q2 |
18. | 1322 3 3 2019 03mar2019 2019w9 2019m3 2019q1 |
19. | 1291 5 5 2019 05may2019 2019w18 2019m5 2019q2 |
20. | 1195 30 12 2018 30dec2018 2018w52 2018m12 2018q4 |
|---------------------------------------------------------------------------|
21. | 1116 10 3 2019 10mar2019 2019w10 2019m3 2019q1 |
+---------------------------------------------------------------------------+
BTC paid:. list btcpaid day month2 year date week2 month quarter, abb(30)
+--------------------------------------------------------------------------+
| btcpaid day month2 year date week2 month quarter |
|--------------------------------------------------------------------------|
1. | .09738 13 1 2019 13jan2019 2019w2 2019m1 2019q1 |
2. | .09399 6 1 2019 06jan2019 2019w1 2019m1 2019q1 |
3. | .093939 17 3 2019 17mar2019 2019w11 2019m3 2019q1 |
4. | .093524 24 3 2019 24mar2019 2019w12 2019m3 2019q1 |
5. | .092315 27 1 2019 27jan2019 2019w4 2019m1 2019q1 |
|--------------------------------------------------------------------------|
6. | .091493 19 5 2019 19may2019 2019w20 2019m5 2019q2 |
7. | .091433 7 4 2019 07apr2019 2019w14 2019m4 2019q2 |
8. | .090766 3 2 2019 03feb2019 2019w5 2019m2 2019q1 |
9. | .09014 20 1 2019 20jan2019 2019w3 2019m1 2019q1 |
10. | .090028 28 4 2019 28apr2019 2019w17 2019m4 2019q2 |
|--------------------------------------------------------------------------|
11. | .08944 10 3 2019 10mar2019 2019w10 2019m3 2019q1 |
12. | .088646 10 2 2019 10feb2019 2019w6 2019m2 2019q1 |
13. | .087986 14 4 2019 14apr2019 2019w15 2019m4 2019q2 |
14. | .087748 24 2 2019 24feb2019 2019w8 2019m2 2019q1 |
15. | .086992 21 4 2019 21apr2019 2019w16 2019m4 2019q2 |
|--------------------------------------------------------------------------|
16. | .086465 31 3 2019 31mar2019 2019w13 2019m3 2019q1 |
17. | .085241 17 2 2019 17feb2019 2019w7 2019m2 2019q1 |
18. | .084589 12 5 2019 12may2019 2019w19 2019m5 2019q2 |
19. | .08303 3 3 2019 03mar2019 2019w9 2019m3 2019q1 |
20. | .0775045 5 5 2019 05may2019 2019w18 2019m5 2019q2 |
|--------------------------------------------------------------------------|
21. | .0712025 30 12 2018 30dec2018 2018w52 2018m12 2018q4 |
+--------------------------------------------------------------------------+