I didn’t know that the merit distribution in the observer thread Can be an indicator in when the price increases.Probably a lot of the members who are sending merits there have their positive and happy vibe and just feels giving away merit. Maybe give away BTC too? Lol  It is never wrong that when BTC has big changes in price, people will have more activity. It can come from their unstable mentality (happy, sad, panic, etc.) Especially when they feel happy, in a good mood, they will easily to dump their sMerits. Think deeper, there are always people who feel happy and sad in opposite ways (in both pump and dump waves). I don't have data on postcount (daily) in WO but I am sure postcounts in WO increase significantly when BTC has pump/ dump. The emotional effects on merit distributions can be seen around holidays, Christmas, New year, Anniversary periods. If you notice, there are 3 spikes with merit time-series plot, the highest one (and the first one is when merit system was kicked-off), the second one (but is the third in value) is on September 2018 when the merit system was enhanced and old-era Junior members were demoted; the third one (but is the second highest in value) is about late of 2019 when the forum has its 10th anniversary and there was an Art contest -- besides that some members run merit give-aways for New year. |
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Fun facts for today. Enjoy WO gang! - Ignore all the massacres, pumps and dumps, in terms of medians (3 types) and minimums (2 types), Bitcoin is in its uptrend, over year.
- Volume is in low range
- 'Ghost month' is over, the East can boost volume up a bit soon
Do you prepare your Hodlpium? - Fun-fact time-series plots for you.
- No description because plots tell you the story.
- Pay attention on multipliers
- In 3 types of median,2 types of min, p25 and p75 of daily low price BTC is in its uptrend.
- Look at p25, p75. If you buy BTC in price from $ 4155 to $10037 in years between 2018 till now, you are fine.
- If you bought BTC at a bit higher price than the lowest in a weak-down in March, you are fine
- Next target of BTC would be somewhere around $12300 (max_h)
Congratulations to all bitcoiners!
Data source: Variable notes: - Medians
- median_l: Median of daily low price over year
- median_h: Median of daily high price over year
- median_c: Median of daily close price over year
- min_c: Minimum of daily close price over year
- max_c: Maximum of daily close price over year
- min_l: Minimum of daily low price over year (Lowest over year)
- max_h: maximum of daily high price over year (Highest over year
- p25l: p25 quantile of daily low price over year
- p75l: p75 quantile of daily low price over year
Raw data: +------------------------------------------------------------------------------------------------------+
| year median_l median_h median_c min_c max_c min_l max_h p25l p75l |
|------------------------------------------------------------------------------------------------------|
1. | 2013 124.7 129.9 127.04 68.43 1151.17 65.53 1156.14 104 199.97 |
2. | 2014 489.73 516.16 502.5 310.74 953.29 289.3 1017.12 382.25 609.1 |
3. | 2015 244.13 254.69 249.01 178.1 465.32 171.51 495.56 231.09 281.01 |
4. | 2016 575.315 588.96 582.555 364.33 975.92 354.91 979.4 427.09 653.7 |
5. | 2017 2510.48 2682.26 2589.41 777.76 19497.4 755.76 20089 1172.61 4377.46 |
|------------------------------------------------------------------------------------------------------|
6. | 2018 6747.98 7109.56 6906.92 3236.76 17527 3191.3 17712.4 6310.11 8360.62 |
7. | 2019 7583.22 8047.41 7824.23 3399.47 13016.23 3391.02 13796.49 4155.32 9411.52 |
8. | 2020 9221.055 9445.61 9324.99 4970.79 12254.4 4106.98 12359.06 8329.57 10037.07 |
+------------------------------------------------------------------------------------------------------+
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- Fun-fact time-series plots for you.
- No description because plots tell you the story.
- Pay attention on multipliers
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ABSTRACT 2020w39, GMT timeData is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w36 and an incomplete day (dayid = 955). Details on days dropped, please see above posts.
Intra-day merits:- Total observed days: 980
- Potential outliers are days that have intraday total merits beyond 205 or 1169
- Median of intraday merits over the period is 668
- 50% of observed days have their intra-day merits range from 566 to 807 (the interquartile range)
- In medians, the highest and lowest days are Friday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
- There are 62 potential outliers (beyond 205 or 1169) in total.
- The distribution of outliers over years are: 44 (71.0%) for 2018, 14 (22.6%) for 2019, and 4 (6.4%) for 2020. (see details)
- Minimum and maximum of intraday merits (full dataset) are 300, and 12676, on 04/8/2019 and 25/1/2018, respectively.
Intra-week merits:- Total observed weeks: 140
- The median of intra-week merits is 4656
- 50% of observed weeks (140 weeks in total), have total merits in the range from 4254 to 5484 (the interquartile range of intra-week merits).
- Minimum and maximum of intra-week merits are 3186 and 27920, in 2018w35, and 2018w4, respectively;
- 10 potential outliers [beyond 2409 or 7329], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397); none of them occured in 2020.
Intra-month merits:- Total observed months: 33
- The median of intra-month merits is 21289
- 50% of observed months (33 months in total), have total merits in the range from 18592 to 23482 (the interquartile range of intra-month merits).
- Minimum and maximum of intra-month merits are 15609 and 48374, in 2018m12, and 2018m2, respectively;
- 4 potential outliers [beyond 11257 or 30817], only 1 of them occurred in the year 2019, on 2019m11 (42866); none of them occured in 2020.
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You asked and I listened, then worked. Please check (click on quote link to see full details). It is not a correct comparison but you can take figures and compare them. - 21171 smerits per 30 for all 97 merit sources
- Median of monthly merit is 21289, interquartile range is from 18592 to 23482. See details with the newest update for monthly merit
- Last month (2020m9, September)
- 19821 smerits were distributed from merit sources and non-merit sources
- 1030 members have sent merit transactions
- 74.2% of 1030 senders sent out 1-10 merit in September *
- Senders (less than 7%) in groups from 31+ are mainly merit sources
- From all available data, non-merit source members actively sent out their sMerit but of course they did not empty all of their sMerits
- As per Pareto principle, top-20 merit earners earned ~88% of total earned merits on the forum (data is outdated). If you are high quality posters, you earn it, earn a lot!
*Categorisat |
ion of |
total |
monthly |
sendout |
merit | Freq. Percent Cum.
------------+-----------------------------------
1 | 263 25.53 25.53
2-5 | 343 33.30 58.83
6-10 | 158 15.34 74.17
11-20 | 107 10.39 84.56
21-30 | 55 5.34 89.90
31-50 | 39 3.79 93.69
51-100 | 25 2.43 96.12
101-200 | 23 2.23 98.35
201-500 | 11 1.07 99.42
501+ | 6 0.58 100.00
------------+-----------------------------------
Total | 1,030 100.00
. Merit sources do their works well since beginning and they increase their sendouts (in values, and intensity) after the reallocation last year. The first plot for 5 groups shows the fact well and you can see more detailed fact in the top 10 senders (note that not all 10 members are merit sources). I've not yet make plot for all 97 merit sources and don't see reason to make it (5-group plot is enough). |
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If something will be burnt, it should be airdropped merit that has not been used so far. For earned merit and smerit, I don't find reasons to burn them. 
When I click on Merit I see There is no point in hoarding sMerit; keeping it yourself does not benefit you, and we reserve the right to decay unused sMerit in the future.
Merit burning is issue for merit sources. They have 21171 smerits per 30 days. More details on merit source observationsIt is not a correct comparison but you can take figures and compare them. - 21171 smerits per 30 for all 97 merit sources
- Median of monthly merit is 21289, interquartile range is from 18592 to 23482. See details with the newest update for monthly merit
- Last month (2020m9, September)
- 19821 smerits were distributed from merit sources and non-merit sources
- 1030 members have sent merit transactions
- 74.2% of 1030 senders sent out 1-10 merit in September *
- Senders (less than 7%) in groups from 31+ are mainly merit sources
- From all available data, non-merit source members actively sent out their sMerit but of course they did not empty all of their sMerits
- As per Pareto principle, top-20 merit earners earned ~88% of total earned merits on the forum (data is outdated). If you are high quality posters, you earn it, earn a lot!
*Categorisat |
ion of |
total |
monthly |
sendout |
merit | Freq. Percent Cum.
------------+-----------------------------------
1 | 263 25.53 25.53
2-5 | 343 33.30 58.83
6-10 | 158 15.34 74.17
11-20 | 107 10.39 84.56
21-30 | 55 5.34 89.90
31-50 | 39 3.79 93.69
51-100 | 25 2.43 96.12
101-200 | 23 2.23 98.35
201-500 | 11 1.07 99.42
501+ | 6 0.58 100.00
------------+-----------------------------------
Total | 1,030 100.00
Those figures can give us the idea that there are members hoard their smerits. As said, if something will be burnt, it should be airdropped sMerits. For earned merit, people can hoard it.
That thread One fault with the merit system was created before yours and why not keep discussion going in that one? |
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Intra-month merits (from 24/1/2018 to 30/9/2020)There are days dropped in order to get data for entire month. Days with id > 981 are dropped because those days belong to the incomplete September of 2020 (2020m10).Converted dataset: +-----------------+
| merit month |
|-----------------|
1. | 39170 2018m1 |
2. | 48374 2018m2 |
3. | 32141 2018m3 |
4. | 23482 2018m4 |
5. | 19807 2018m5 |
|-----------------|
6. | 18693 2018m6 |
7. | 18286 2018m7 |
8. | 16631 2018m8 |
9. | 22075 2018m9 |
10. | 18592 2018m10 |
|-----------------|
11. | 17442 2018m11 |
12. | 15609 2018m12 |
13. | 22875 2019m1 |
14. | 17756 2019m2 |
15. | 21467 2019m3 |
|-----------------|
16. | 20698 2019m4 |
17. | 22069 2019m5 |
18. | 20355 2019m6 |
19. | 18485 2019m7 |
20. | 16094 2019m8 |
|-----------------|
21. | 17406 2019m9 |
22. | 21583 2019m10 |
23. | 42866 2019m11 |
24. | 24909 2019m12 |
25. | 28281 2020m1 |
|-----------------|
26. | 25475 2020m2 |
27. | 22806 2020m3 |
28. | 22524 2020m4 |
29. | 23874 2020m5 |
30. | 19199 2020m6 |
|-----------------|
31. | 20661 2020m7 |
32. | 21289 2020m8 |
33. | 19821 2020m9 |
+-----------------+
- 50% of observed months ( 33 months) have total intra-month merits above 21289, whilst the rest 50% of them have total intra-month merits below 21289. 21289 is the median - p50. - 50% of observed months have total intra-month merits fluctuated in the range from 18592 to 23482 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 15609 - 48374. variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 33 23054.39 7493.831 21289 18592 23482 15609 48374
----------------------------------------------------------------------------------------------
. di 23482-18592
4890
. di 4890*1.5
7335
. di 23482+7335
30817
. di 18592-7335
11257
It means that potential outliers are months that have intra-month merits beyond 11257 or 30817. How many months are potential outliers? . count if (merit >= 30817 | merit <= 11257) & merit != .
4
months are outliers, in total. List of those four months: +-----------------+
| merit month |
|-----------------|
1. | 39170 2018m1 |
2. | 48374 2018m2 |
3. | 32141 2018m3 |
23. | 42866 2019m11 |
+-----------------+
Most of them occured in the year 2018, during the first three months after merit system activated. Only one outlier month detected in 2019, that is 2019m11, at 42866.
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Intra-week merits (from 24/1/2018 to 29/9/2020)Last 3 days dropped due to incomplete week (2020w40) and an incomplete day (dayid = 983)Converted dataset: +-----------------+
| merit week |
|-----------------|
1. | 27920 2018w4 |
2. | 20930 2018w5 |
3. | 14042 2018w6 |
4. | 11901 2018w7 |
5. | 8879 2018w8 |
|-----------------|
6. | 9005 2018w9 |
7. | 7178 2018w10 |
8. | 7340 2018w11 |
9. | 7138 2018w12 |
10. | 6392 2018w13 |
|-----------------|
11. | 6542 2018w14 |
12. | 5946 2018w15 |
13. | 4449 2018w16 |
14. | 4820 2018w17 |
15. | 5043 2018w18 |
|-----------------|
16. | 4685 2018w19 |
17. | 4431 2018w20 |
18. | 3903 2018w21 |
19. | 4248 2018w22 |
20. | 4473 2018w23 |
|-----------------|
21. | 3953 2018w24 |
22. | 4574 2018w25 |
23. | 4684 2018w26 |
24. | 4367 2018w27 |
25. | 4109 2018w28 |
|-----------------|
26. | 4277 2018w29 |
27. | 3809 2018w30 |
28. | 3489 2018w31 |
29. | 4199 2018w32 |
30. | 3767 2018w33 |
|-----------------|
31. | 3763 2018w34 |
32. | 3186 2018w35 |
33. | 3536 2018w36 |
34. | 3586 2018w37 |
35. | 9587 2018w38 |
|-----------------|
36. | 4508 2018w39 |
37. | 4325 2018w40 |
38. | 3981 2018w41 |
39. | 4424 2018w42 |
40. | 4386 2018w43 |
|-----------------|
41. | 3321 2018w44 |
42. | 4175 2018w45 |
43. | 4047 2018w46 |
44. | 4606 2018w47 |
45. | 3791 2018w48 |
|-----------------|
46. | 3596 2018w49 |
47. | 3689 2018w50 |
48. | 3615 2018w51 |
49. | 3687 2018w52 |
50. | 4584 2019w1 |
|-----------------|
51. | 6102 2019w2 |
52. | 5776 2019w3 |
53. | 4582 2019w4 |
54. | 4408 2019w5 |
55. | 4505 2019w6 |
|-----------------|
56. | 4259 2019w7 |
57. | 4314 2019w8 |
58. | 4726 2019w9 |
59. | 4979 2019w10 |
60. | 4295 2019w11 |
|-----------------|
61. | 4690 2019w12 |
62. | 5728 2019w13 |
63. | 4695 2019w14 |
64. | 5253 2019w15 |
65. | 4880 2019w16 |
|-----------------|
66. | 4260 2019w17 |
67. | 4817 2019w18 |
68. | 5002 2019w19 |
69. | 5596 2019w20 |
70. | 4693 2019w21 |
|-----------------|
71. | 4342 2019w22 |
72. | 4597 2019w23 |
73. | 5373 2019w24 |
74. | 4629 2019w25 |
75. | 4672 2019w26 |
|-----------------|
76. | 3882 2019w27 |
77. | 4462 2019w28 |
78. | 4005 2019w29 |
79. | 4377 2019w30 |
80. | 3603 2019w31 |
|-----------------|
81. | 3346 2019w32 |
82. | 3965 2019w33 |
83. | 3811 2019w34 |
84. | 3579 2019w35 |
85. | 3683 2019w36 |
|-----------------|
86. | 4005 2019w37 |
87. | 4382 2019w38 |
88. | 4348 2019w39 |
89. | 4209 2019w40 |
90. | 4701 2019w41 |
|-----------------|
91. | 5160 2019w42 |
92. | 5375 2019w43 |
93. | 4816 2019w44 |
94. | 4753 2019w45 |
95. | 11070 2019w46 |
|-----------------|
96. | 20397 2019w47 |
97. | 6271 2019w48 |
98. | 4650 2019w49 |
99. | 4832 2019w50 |
100. | 6066 2019w51 |
|-----------------|
101. | 7058 2019w52 |
102. | 5745 2020w1 |
103. | 5395 2020w2 |
104. | 7247 2020w3 |
105. | 6646 2020w4 |
|-----------------|
106. | 6756 2020w5 |
107. | 5573 2020w6 |
108. | 6923 2020w7 |
109. | 6314 2020w8 |
110. | 5237 2020w9 |
|-----------------|
111. | 4622 2020w10 |
112. | 5109 2020w11 |
113. | 5603 2020w12 |
114. | 5392 2020w13 |
115. | 6061 2020w14 |
|-----------------|
116. | 5094 2020w15 |
117. | 5052 2020w16 |
118. | 4539 2020w17 |
119. | 5699 2020w18 |
120. | 5648 2020w19 |
|-----------------|
121. | 5802 2020w20 |
122. | 5334 2020w21 |
123. | 4662 2020w22 |
124. | 4676 2020w23 |
125. | 4190 2020w24 |
|-----------------|
126. | 4366 2020w25 |
127. | 4474 2020w26 |
128. | 4630 2020w27 |
129. | 4673 2020w28 |
130. | 4485 2020w29 |
|-----------------|
131. | 4518 2020w30 |
132. | 4963 2020w31 |
133. | 4074 2020w32 |
134. | 3986 2020w33 |
135. | 5330 2020w34 |
|-----------------|
136. | 5974 2020w35 |
137. | 4667 2020w36 |
138. | 4290 2020w37 |
139. | 4983 2020w38 |
140. | 4227 2020w39 |
+-----------------+
- 50% of observed weeks ( 140 weeks) have total intra-week merits above 4656, whilst the rest 50% of them have total intra-week merits below 4656. 4656 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4254 to 5484 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 3186 - 27920. variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 140.0 5427.3 3086.2 4656.0 4253.5 5484.0 3186.0 27920.0
----------------------------------------------------------------------------------------------
. di 5484-4254
1230
. di 1230*1.5
1845
. di 5484+1845
7329
. di 4254-1845
2409
It means that potential outliers are weeks that have intra-week merits beyond 2409 or 7329. How many weeks are potential outliers? . count if (merit >= 7329 | merit < 2409) & merit != .
10
weeks are outliers, in total. List of those 10 weeks: +-----------------+
| merit week |
|-----------------|
1. | 27920 2018w4 |
2. | 20930 2018w5 |
3. | 14042 2018w6 |
4. | 11901 2018w7 |
5. | 8879 2018w8 |
|-----------------|
6. | 9005 2018w9 |
8. | 7340 2018w11 |
35. | 9587 2018w38 |
95. | 11070 2019w46 |
96. | 20397 2019w47 |
+-----------------+
Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 (20397). None of them occured in 2020 so far.  List of weeks in descending weekly meritsThe last week (with 4227 merits) stays at the 107th position, among 140 weeks. +------------------------------+
| weeklyrank merit week |
|------------------------------|
1. | 1 27920 2018w4 |
2. | 2 20930 2018w5 |
3. | 3 20397 2019w47 |
4. | 4 14042 2018w6 |
5. | 5 11901 2018w7 |
|------------------------------|
6. | 6 11070 2019w46 |
7. | 7 9587 2018w38 |
8. | 8 9005 2018w9 |
9. | 9 8879 2018w8 |
10. | 10 7340 2018w11 |
|------------------------------|
11. | 11 7247 2020w3 |
12. | 12 7178 2018w10 |
13. | 13 7138 2018w12 |
14. | 14 7058 2019w52 |
15. | 15 6923 2020w7 |
|------------------------------|
16. | 16 6756 2020w5 |
17. | 17 6646 2020w4 |
18. | 18 6542 2018w14 |
19. | 19 6392 2018w13 |
20. | 20 6314 2020w8 |
|------------------------------|
21. | 21 6271 2019w48 |
22. | 22 6102 2019w2 |
23. | 23 6066 2019w51 |
24. | 24 6061 2020w14 |
25. | 25 5974 2020w35 |
|------------------------------|
26. | 26 5946 2018w15 |
27. | 27 5802 2020w20 |
28. | 28 5776 2019w3 |
29. | 29 5745 2020w1 |
30. | 30 5728 2019w13 |
|------------------------------|
31. | 31 5699 2020w18 |
32. | 32 5648 2020w19 |
33. | 33 5603 2020w12 |
34. | 34 5596 2019w20 |
35. | 35 5573 2020w6 |
|------------------------------|
36. | 36 5395 2020w2 |
37. | 37 5392 2020w13 |
38. | 38 5375 2019w43 |
39. | 39 5373 2019w24 |
40. | 40 5334 2020w21 |
|------------------------------|
41. | 41 5330 2020w34 |
42. | 42 5253 2019w15 |
43. | 43 5237 2020w9 |
44. | 44 5160 2019w42 |
45. | 45 5109 2020w11 |
|------------------------------|
46. | 46 5094 2020w15 |
47. | 47 5052 2020w16 |
48. | 48 5043 2018w18 |
49. | 49 5002 2019w19 |
50. | 50 4983 2020w38 |
|------------------------------|
51. | 51 4979 2019w10 |
52. | 52 4963 2020w31 |
53. | 53 4880 2019w16 |
54. | 54 4832 2019w50 |
55. | 55 4820 2018w17 |
|------------------------------|
56. | 56 4817 2019w18 |
57. | 57 4816 2019w44 |
58. | 58 4753 2019w45 |
59. | 59 4726 2019w9 |
60. | 60 4701 2019w41 |
|------------------------------|
61. | 61 4695 2019w14 |
62. | 62 4693 2019w21 |
63. | 63 4690 2019w12 |
64. | 64 4685 2018w19 |
65. | 65 4684 2018w26 |
|------------------------------|
66. | 66 4676 2020w23 |
67. | 67 4673 2020w28 |
68. | 68 4672 2019w26 |
69. | 69 4667 2020w36 |
70. | 70 4662 2020w22 |
|------------------------------|
71. | 71 4650 2019w49 |
72. | 72 4630 2020w27 |
73. | 73 4629 2019w25 |
74. | 74 4622 2020w10 |
75. | 75 4606 2018w47 |
|------------------------------|
76. | 76 4597 2019w23 |
77. | 77 4584 2019w1 |
78. | 78 4582 2019w4 |
79. | 79 4574 2018w25 |
80. | 80 4539 2020w17 |
|------------------------------|
81. | 81 4518 2020w30 |
82. | 82 4508 2018w39 |
83. | 83 4505 2019w6 |
84. | 84 4485 2020w29 |
85. | 85 4474 2020w26 |
|------------------------------|
86. | 86 4473 2018w23 |
87. | 87 4462 2019w28 |
88. | 88 4449 2018w16 |
89. | 89 4431 2018w20 |
90. | 90 4424 2018w42 |
|------------------------------|
91. | 91 4408 2019w5 |
92. | 92 4386 2018w43 |
93. | 93 4382 2019w38 |
94. | 94 4377 2019w30 |
95. | 95 4367 2018w27 |
|------------------------------|
96. | 96 4366 2020w25 |
97. | 97 4348 2019w39 |
98. | 98 4342 2019w22 |
99. | 99 4325 2018w40 |
100. | 100 4314 2019w8 |
|------------------------------|
101. | 101 4295 2019w11 |
102. | 102 4290 2020w37 |
103. | 103 4277 2018w29 |
104. | 104 4260 2019w17 |
105. | 105 4259 2019w7 |
|------------------------------|
106. | 106 4248 2018w22 |
107. | 107 4227 2020w39 |
108. | 108 4209 2019w40 |
109. | 109 4199 2018w32 |
110. | 110 4190 2020w24 |
|------------------------------|
111. | 111 4175 2018w45 |
112. | 112 4109 2018w28 |
113. | 113 4074 2020w32 |
114. | 114 4047 2018w46 |
115. | 115 4005 2019w29 |
|------------------------------|
116. | 116 4005 2019w37 |
117. | 117 3986 2020w33 |
118. | 118 3981 2018w41 |
119. | 119 3965 2019w33 |
120. | 120 3953 2018w24 |
|------------------------------|
121. | 121 3903 2018w21 |
122. | 122 3882 2019w27 |
123. | 123 3811 2019w34 |
124. | 124 3809 2018w30 |
125. | 125 3791 2018w48 |
|------------------------------|
126. | 126 3767 2018w33 |
127. | 127 3763 2018w34 |
128. | 128 3689 2018w50 |
129. | 129 3687 2018w52 |
130. | 130 3683 2019w36 |
|------------------------------|
131. | 131 3615 2018w51 |
132. | 132 3603 2019w31 |
133. | 133 3596 2018w49 |
134. | 134 3586 2018w37 |
135. | 135 3579 2019w35 |
|------------------------------|
136. | 136 3536 2018w36 |
137. | 137 3489 2018w31 |
138. | 138 3346 2019w32 |
139. | 139 3321 2018w44 |
140. | 140 3186 2018w35 |
+------------------------------+
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Medians and means of intra-day merits over days of weeks GMT timeColors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Friday, Thursday, and Tuesday at 699, 696, and 692, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 607, 637, and 662, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 876, 837, and 789, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 693, 694, and 769, respectively. Basic statistics:Summary for variables: merit
by categories of: dofw
dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
Sunday | 140.0 692.3 335.1 637.0 512.5 740.0 300.0 3240.0
Monday | 140.0 769.1 406.5 662.0 582.5 840.0 370.0 3343.0
Tuesday | 140.0 789.0 444.2 691.5 592.0 823.0 339.0 3826.0
Wednesday | 140.0 771.3 403.0 685.5 605.0 811.0 347.0 4103.0
Thursday | 140.0 875.8 1114.9 695.5 589.5 815.0 411.0 12676.0
Friday | 140.0 836.7 694.8 698.5 584.5 834.0 373.0 6348.0
Saturday | 140.0 693.2 432.3 606.5 503.0 733.5 375.0 4627.0
----------+--------------------------------------------------------------------------------
Total | 980.0 775.3 605.0 668.0 566.0 807.0 300.0 12676.0
-------------------------------------------------------------------------------------------
Outliers non-displayed. Details on ranks:In medians +--------------------------------------------------------------------------+
| rankmedian dofw median mean p25 p75 min max |
|--------------------------------------------------------------------------|
1. | 1 Friday 698.5 836.7357 584.5 834 373 6348 |
2. | 2 Thursday 695.5 875.7786 589.5 815 411 12676 |
3. | 3 Tuesday 691.5 788.9857 592 823 339 3826 |
4. | 4 Wednesday 685.5 771.3357 605 811 347 4103 |
5. | 5 Monday 662 769.0571 582.5 840 370 3343 |
|--------------------------------------------------------------------------|
6. | 6 Sunday 637 692.25 512.5 740 300 3240 |
7. | 7 Saturday 606.5 693.1714 503 733.5 375 4627 |
+--------------------------------------------------------------------------+
In means +------------------------------------------------------------------------+
| rankmean dofw mean median p25 p75 min max |
|------------------------------------------------------------------------|
1. | 1 Thursday 875.7786 695.5 589.5 815 411 12676 |
2. | 2 Friday 836.7357 698.5 584.5 834 373 6348 |
3. | 3 Tuesday 788.9857 691.5 592 823 339 3826 |
4. | 4 Wednesday 771.3357 685.5 605 811 347 4103 |
5. | 5 Monday 769.0571 662 582.5 840 370 3343 |
|------------------------------------------------------------------------|
6. | 6 Saturday 693.1714 606.5 503 733.5 375 4627 |
7. | 7 Sunday 692.25 637 512.5 740 300 3240 |
+------------------------------------------------------------------------+
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During the period from 24/1/2018 to 29/9/2020 (last 3 days dropped due to incomplete week, 2020w40 and an incomplete day - dayid = 983), the minimum and maximum of intra-day merit are 300 and 12676, on 04/8/2019 and 25/1/2018, respectively. List of the top 50-highest day in terms of intra-day merits: +-----------------------------------------------------------------------------+
| rank_max merit dayid date dofw week month year |
|-----------------------------------------------------------------------------|
1. | 1 12676 2 25jan2018 Thursday 2018w4 2018m1 2018 |
2. | 2 6348 3 26jan2018 Friday 2018w4 2018m1 2018 |
3. | 3 5515 668 22nov2019 Friday 2019w47 2019m11 2019 |
4. | 4 4889 667 21nov2019 Thursday 2019w47 2019m11 2019 |
5. | 5 4627 4 27jan2018 Saturday 2018w4 2018m1 2018 |
|-----------------------------------------------------------------------------|
6. | 6 4103 8 31jan2018 Wednesday 2018w5 2018m1 2018 |
7. | 7 3826 665 19nov2019 Tuesday 2019w47 2019m11 2019 |
8. | 8 3804 7 30jan2018 Tuesday 2018w5 2018m1 2018 |
9. | 9 3343 6 29jan2018 Monday 2018w5 2018m1 2018 |
10. | 10 3240 5 28jan2018 Sunday 2018w4 2018m1 2018 |
|-----------------------------------------------------------------------------|
11. | 11 2797 23 15feb2018 Thursday 2018w7 2018m2 2018 |
12. | 12 2793 9 01feb2018 Thursday 2018w5 2018m2 2018 |
13. | 13 2783 664 18nov2019 Monday 2019w46 2019m11 2019 |
14. | 14 2621 10 02feb2018 Friday 2018w5 2018m2 2018 |
15. | 15 2584 666 20nov2019 Wednesday 2019w47 2019m11 2019 |
|-----------------------------------------------------------------------------|
16. | 16 2553 237 17sep2018 Monday 2018w38 2018m9 2018 |
17. | 17 2476 11 03feb2018 Saturday 2018w5 2018m2 2018 |
18. | 18 2374 661 15nov2019 Friday 2019w46 2019m11 2019 |
19. | 19 2366 15 07feb2018 Wednesday 2018w6 2018m2 2018 |
20. | 20 2263 13 05feb2018 Monday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
21. | 21 2223 17 09feb2018 Friday 2018w6 2018m2 2018 |
22. | 22 2059 16 08feb2018 Thursday 2018w6 2018m2 2018 |
23. | 23 2004 14 06feb2018 Tuesday 2018w6 2018m2 2018 |
24. | 24 1807 238 18sep2018 Tuesday 2018w38 2018m9 2018 |
25. | 25 1793 19 11feb2018 Sunday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
26. | 26 1790 12 04feb2018 Sunday 2018w5 2018m2 2018 |
27. | 27 1740 24 16feb2018 Friday 2018w7 2018m2 2018 |
28. | 28 1727 39 03mar2018 Saturday 2018w9 2018m3 2018 |
29. | 29 1630 660 14nov2019 Thursday 2019w46 2019m11 2019 |
30. | 30 1590 669 23nov2019 Saturday 2019w47 2019m11 2019 |
|-----------------------------------------------------------------------------|
31. | 31 1589 26 18feb2018 Sunday 2018w7 2018m2 2018 |
32. | 32 1585 662 16nov2019 Saturday 2019w46 2019m11 2019 |
33. | 33 1580 22 14feb2018 Wednesday 2018w7 2018m2 2018 |
34. | 34 1475 20 12feb2018 Monday 2018w7 2018m2 2018 |
35. | 35 1465 678 02dec2019 Monday 2019w48 2019m12 2019 |
|-----------------------------------------------------------------------------|
36. | 36 1442 28 20feb2018 Tuesday 2018w8 2018m2 2018 |
37. | 37 1431 25 17feb2018 Saturday 2018w7 2018m2 2018 |
38. | 38 1414 35 27feb2018 Tuesday 2018w9 2018m2 2018 |
39. | 39 1390 57 21mar2018 Wednesday 2018w12 2018m3 2018 |
40. | 40 1377 663 17nov2019 Sunday 2019w46 2019m11 2019 |
|-----------------------------------------------------------------------------|
41. | 41 1372 33 25feb2018 Sunday 2018w8 2018m2 2018 |
42. | 42 1364 755 17feb2020 Monday 2020w7 2020m2 2020 |
43. | 43 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 |
44. | 44 1345 38 02mar2018 Friday 2018w9 2018m3 2018 |
45. | 45 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
46. | 46 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 |
47. | 47 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 |
48. | 48 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 |
49. | 49 1289 27 19feb2018 Monday 2018w8 2018m2 2018 |
50. | 50 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 |
+-----------------------------------------------------------------------------+
List of the top 50-lowest days in terms of intra-day merits: +-----------------------------------------------------------------------------+
| rank_min merit dayid date dofw week month year |
|-----------------------------------------------------------------------------|
1. | 1 300 558 04aug2019 Sunday 2019w31 2019m8 2019 |
2. | 2 333 341 30dec2018 Sunday 2018w52 2018m12 2018 |
3. | 3 339 343 01jan2019 Tuesday 2019w1 2019m1 2019 |
4. | 4 347 330 19dec2018 Wednesday 2018w51 2018m12 2018 |
5. | 5 347 299 18nov2018 Sunday 2018w46 2018m11 2018 |
|-----------------------------------------------------------------------------|
6. | 6 351 334 23dec2018 Sunday 2018w51 2018m12 2018 |
7. | 7 366 218 29aug2018 Wednesday 2018w35 2018m8 2018 |
8. | 8 367 565 11aug2019 Sunday 2019w32 2019m8 2019 |
9. | 9 370 223 03sep2018 Monday 2018w36 2018m9 2018 |
10. | 10 373 339 28dec2018 Friday 2018w52 2018m12 2018 |
|-----------------------------------------------------------------------------|
11. | 11 375 340 29dec2018 Saturday 2018w52 2018m12 2018 |
12. | 12 377 600 15sep2019 Sunday 2019w37 2019m9 2019 |
13. | 13 378 566 12aug2019 Monday 2019w32 2019m8 2019 |
14. | 14 378 305 24nov2018 Saturday 2018w47 2018m11 2018 |
15. | 15 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 |
|-----------------------------------------------------------------------------|
16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 |
17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 |
18. | 18 385 327 16dec2018 Sunday 2018w50 2018m12 2018 |
19. | 19 385 215 26aug2018 Sunday 2018w34 2018m8 2018 |
20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 |
|-----------------------------------------------------------------------------|
21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 |
22. | 22 395 872 13jun2020 Saturday 2020w24 2020m6 2020 |
23. | 23 399 593 08sep2019 Sunday 2019w36 2019m9 2019 |
24. | 24 401 557 03aug2019 Saturday 2019w31 2019m8 2019 |
25. | 25 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 |
|-----------------------------------------------------------------------------|
26. | 26 402 263 13oct2018 Saturday 2018w41 2018m10 2018 |
27. | 27 404 229 09sep2018 Sunday 2018w36 2018m9 2018 |
28. | 28 406 277 27oct2018 Saturday 2018w43 2018m10 2018 |
29. | 29 408 530 07jul2019 Sunday 2019w27 2019m7 2019 |
30. | 30 409 123 26may2018 Saturday 2018w21 2018m5 2018 |
|-----------------------------------------------------------------------------|
31. | 31 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 |
32. | 32 410 279 29oct2018 Monday 2018w44 2018m10 2018 |
33. | 33 411 578 24aug2019 Saturday 2019w34 2019m8 2019 |
34. | 34 411 569 15aug2019 Thursday 2019w33 2019m8 2019 |
35. | 35 414 528 05jul2019 Friday 2019w27 2019m7 2019 |
|-----------------------------------------------------------------------------|
36. | 36 421 193 04aug2018 Saturday 2018w31 2018m8 2018 |
37. | 37 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 |
38. | 38 426 346 04jan2019 Friday 2019w1 2019m1 2019 |
39. | 39 426 230 10sep2018 Monday 2018w37 2018m9 2018 |
40. | 40 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 |
|-----------------------------------------------------------------------------|
41. | 41 430 207 18aug2018 Saturday 2018w33 2018m8 2018 |
42. | 42 432 587 02sep2019 Monday 2019w35 2019m9 2019 |
43. | 43 435 522 29jun2019 Saturday 2019w26 2019m6 2019 |
44. | 44 436 419 18mar2019 Monday 2019w11 2019m3 2019 |
45. | 45 439 880 21jun2020 Sunday 2020w25 2020m6 2020 |
|-----------------------------------------------------------------------------|
46. | 46 440 559 05aug2019 Monday 2019w31 2019m8 2019 |
47. | 47 440 265 15oct2018 Monday 2018w42 2018m10 2018 |
48. | 48 440 585 31aug2019 Saturday 2019w35 2019m8 2019 |
49. | 49 441 404 03mar2019 Sunday 2019w9 2019m3 2019 |
50. | 50 441 319 08dec2018 Saturday 2018w49 2018m12 2018 |
+-----------------------------------------------------------------------------+
|
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|
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Time-series plots:Full dataset:Truncated dataset:
Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w40 (daydi = 981, 982), the incomplete week & incomlete day (dayid = 983). variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 980 775.3306 605.0003 668 566 807 300 12676
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 205 or 1169. . di 807-566
241
. di 241*1.5
361.5
. di 807+361.5
1168.5
. di 566-361.5
204.5
There are 62 outliers (beyond 1169 or 205) in full dataset, in total. . count if (merit >= 1169 | merit <= 205) & merit != .
62
Those days are: +---------------------------+
| dayid merit date |
|---------------------------|
2. | 2 12676 25jan2018 |
3. | 3 6348 26jan2018 |
4. | 4 4627 27jan2018 |
5. | 5 3240 28jan2018 |
6. | 6 3343 29jan2018 |
7. | 7 3804 30jan2018 |
8. | 8 4103 31jan2018 |
9. | 9 2793 01feb2018 |
10. | 10 2621 02feb2018 |
11. | 11 2476 03feb2018 |
12. | 12 1790 04feb2018 |
13. | 13 2263 05feb2018 |
14. | 14 2004 06feb2018 |
15. | 15 2366 07feb2018 |
16. | 16 2059 08feb2018 |
17. | 17 2223 09feb2018 |
18. | 18 1334 10feb2018 |
19. | 19 1793 11feb2018 |
20. | 20 1475 12feb2018 |
21. | 21 1289 13feb2018 |
22. | 22 1580 14feb2018 |
23. | 23 2797 15feb2018 |
24. | 24 1740 16feb2018 |
25. | 25 1431 17feb2018 |
26. | 26 1589 18feb2018 |
27. | 27 1289 19feb2018 |
28. | 28 1442 20feb2018 |
30. | 30 1277 22feb2018 |
31. | 31 1250 23feb2018 |
33. | 33 1372 25feb2018 |
35. | 35 1414 27feb2018 |
36. | 36 1302 28feb2018 |
38. | 38 1345 02mar2018 |
39. | 39 1727 03mar2018 |
49. | 49 1316 13mar2018 |
51. | 51 1224 15mar2018 |
57. | 57 1390 21mar2018 |
58. | 58 1211 22mar2018 |
69. | 69 1181 02apr2018 |
70. | 70 1186 03apr2018 |
237. | 237 2553 17sep2018 |
238. | 238 1807 18sep2018 |
239. | 239 1347 19sep2018 |
240. | 240 1221 20sep2018 |
|---------------------------|
429. | 429 1247 28mar2019 |
476. | 476 1215 14may2019 |
505. | 505 1227 12jun2019 |
660. | 660 1630 14nov2019 |
661. | 661 2374 15nov2019 |
662. | 662 1585 16nov2019 |
663. | 663 1377 17nov2019 |
664. | 664 2783 18nov2019 |
665. | 665 3826 19nov2019 |
666. | 666 2584 20nov2019 |
667. | 667 4889 21nov2019 |
668. | 668 5515 22nov2019 |
669. | 669 1590 23nov2019 |
678. | 678 1465 02dec2019 |
|---------------------------|
726. | 726 1192 19jan2020 |
755. | 755 1364 17feb2020 |
756. | 756 1195 18feb2020 |
845. | 845 1198 17may2020 |
+---------------------------+
- 2018: 44 (71.0%)
- 2019: 14 (22.6%)
- 2020: 4 (6.4%)
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I have a nice cap and a nice merit statistic. Can I join?   |
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This is the BEGINNERS & HELP BOARD a board to
+ give answers to -newbies- questions
See the unofficial rules. If the rule is applied strictly, no guides are accepted in Beginners & Help and it is place for newbies raise questions, then others leave replies to help. In reality, guides are accepted in this board and that rule is unofficial. Beginners & Help - All primitive questions (to pros like us Cool) like "what are ASICS", "who is satoshi" and "what is mining" should stay here.
Off-topic - "Other topics that might be of interest to bitcoiners"
There are overlaps and sometimes each member and even each staff has different opinion on it. Consequently, if you report a topic like "Please move this one to Off-topic", moderator A accepts yours but moderator B won't. It depends. Some members bring articles or phishing sites, fake application findings into Beginners & Help and accepted to be exist there. IMO, they belong to Scam accusations. Per board descriptions above, you can see how complicated when you have to classify one thread is belong to Beginners & Help or Off-topic. Threads (guides) are related to security, privacy can be classified in Beginners & Help or Off-topic. It depends on each member, each moderator and I am sure that no one can say decision is right or wrong. I don't know if this is official but merit giveaway alsi happens on the board
In 2017 and 2018, merit giveaway threads are immediately moved to Off-topic (community complained a lot) but recent months, I see moderators accept merit giveaway thread existence in Beginners & Help. Summary- Use report button if you see one thread is released in inaccurate board.
- If your report fails or if you see one thread does not fit your needs, ignore it. Be simple, be kind and no need to be serious
Up till now, it is a forum limited rule: - Members are free to move their threads back and forth.
- No limitations on how many times they can move their threads.
- No restriction if a thread was moved from original board (Beginners & Help) by moderator, it won't be allowed to move back to that board by thread owner.
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I can see some people are using custom avatar with WO hat. You are editing the WO hat and using that. If I'm not wrong, xhomerx10 is the creator of the avatars and thus, you don't have the right to customize it without his permission. You should ask first to xhomerx10 whether you can edit the hat or not.
Just my two cent.
I don't know what the others did before they have customized-avatars (cap, especially) and applied here. But for me, it is as below. How about this cap? Honestly, I did not make the cap, xhomerx10 made it.  I believe xhomerx10 is fine with such caps, even people customize it but sure it is the best if you ask for his permission (in private message or public post) before doing customization. I asked his help to create the avatar I am wearning now but he misunderstood my idea and created the BeardedBaby cap above. I am sorry the BeardedBaby because I did not ask for his permission to use the image of bearded baby.
By the way, I have a proposal for Best_Change: If you see good positive effects from customized avatars, you can move further to open avatar campaigns, I am sure some guys from the ChipMixer gangs will join the party. They are free from avatars and they are undoubtedly high-quality enthusiasts. |
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For several days already on cryptotalk forum there is a drop of DLRS tokens to get which you need to write 100 posts per week. Nobody knows what a token is, but activity on the forum is just huge and the posts are written by people who do not even understand what the cryptocurrencies are.
Are there rule for plagiarism and ban on rule-breaker (plagiarism, ie.)? Zero or low value posts probably come from plagiarism. I guess no rule, no ban. |
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I do notice that some people naturally don’t allow bitcoin in any of their daily transactions
Totally wrong. You misunderstood it. People can not allow or disallow bitcoin and bitcoin transactions. Miners do it because bitcoin is operated by Proof-of-work and transaction will be confirmed by miners, not a person. even when it faster and easier, they still don’t prefer using it
Bitcoin block time is about 10 minutes for one block. Sometimes it can be longer or shorter than 10 minutes but in median, block time is 10 minutes. When you make one transaction, the waiting time to see it gets first confirmation will depends on the fee rate you set up for your transaction and the mempool status. If the mempool is clear, with the same rate, you can get faster transaction than when mempool is loaded a lot. Check mempool status and see my guide for more explanationSecond-layer solution as Lightning Network can bring much faster transactions but development pace and adoption are still limited. I have noticed this a lot, Some classes of human,Sometimes when they are to receive money from another country like international transfer sometimes it takes 2 3 days to arrive,They will advise them to use bitcoin and they still don’t accept it even it faster and easier. Now how come we make bitcoin come to people.
As said above, the speed of confirmation depends on the fee rate you use. If the mempool is stucked and you use fee rate at 1 satoshi/(v)byte, your transaction can be stucked for days or even 2 weeks before difficulty on the network was readjusted and mempool status becomes better.
Reasons to use bitcoin, IMO: - Be your own bank.
- No one can freeze your bitcoin
- A fixed total supply, deflation over time (after each 4-year halving, block rewards will be halvened)
- Decentralization
Note that you need to use non-custodial wallets ( Bitcoin Core, Electrum) to be your own bank. |
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What if members want to speak without ads and signatures?
- Use Telegram, Discord, private messages (or any other dead forum)
Telegram and Discords are more spammy. I can not catch flows of discussion on Telegram or Discord especially if I am in a big community. Messages are flooded in a matter of seconds. If you see spam and scam on the forum, I don't argue with you about it. However, spam and scam are more popular on Telegram, Discords, it is the point. If you want to have secret and self-destroyed conversation, it is ok to use Telegram. Remember it is a risky method because you rely on Telegram's responsibility to protect your privacy. In terms of serious private information, it is best if you keep them offline, talk in person is better than talk in secret chats on any platform. Dead forums: They are dead so where a place to have meaningful discussion to learn from and to discuss with others. No benefit to join any dead signature-, avatar-free forums. |
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You can read these documents for your interest. It does not answer your question directly but there are some points you can take from. |
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