I've been a fan of Obyte for over 3 years now, and it surely is one of the most interesting projects out there.
Good to know your perspective on Obyte (formerly called as Byteball) and good to see you still wearing Byteball signature. A very good free support from you but as a long time supporter of the project, you would have known that the project is rebranded from Byteball to Obyte. It takes you a few seconds to edit your signature code and change Byteball to Obyte. Did you forget to edit it? Or do you simply want to keep the initial name of the project, as Byteball? Proof: Byteball is now Obyte
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There is an another side of the coin. These gamblers might wish to use bestchange as a bridge to withdraw winning into fiat money. If they win a lot (with help from tips and posts from gamblers from gambling board), then the probability they wish to withdraw and enjoy IRL what they achieved is higher. Than bestchange is the best intermediary between crypto and fiat as they offer variety of ways to make an exchange.
Gamblers use bitcoin and crypto. It is correct but the main aim of one signature campaign is having as much exposures as possible to readers. Readers are forum members. People rarely spend their time to read in spam mega threads. I occasionally visit and post on those threads, not much honestly. Because my infrequently visit there, my thinking can be wrong but there are not many high quality posts in spam mega threads. Having exposure in gambling threads is good because gambling is one of biggest adoption area for cryptocurrency. The side effects will appear if posts are mostly made in gambling discussion board. I might strict but most of discussion boards (in the names) are place for spam. There are good posters, and good posts but too hard to find. Consequently, making a good post in those boards almost does not make a difference in terms of exposures on readers' eyes and attention. They will fastly be covered by other low quality posts. In this situation, maybe it will be better to limit the amount posts counter in megathreads towards weekly minimum required?
2 to 3, in maximum, I suppose. 10% of weekly post quota in Spam mega thread is enough. If one participant has big love in those threads, s(he) is free to posts any posts in those thread for personal favorite. But remember to make more posts outside those places to satisfy weekly post requirements of the campaign.
In 2019, I wrote the thread Bitcointalk posting etiquette, in which you can see the section Don't post in Spam Mega threadSpam mega threads are spam ones, in which users post without reading. Please read: If you are good poster or have intention to be a good poster, you should stay away from Spam Megathreads. |
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The truth is telegram is full of scammers. People can easily to change (display) name on Telegram. Potential victims don't know difference between name, username, bio. Some scammers put their fake username on Bio area.
Most of scams are the same but people are not aware of it. They read such scams somewhere else but when they see potential financial income, they forget all they read before.
The trap is set up for everyone but only greedy guys will be trapped. If you are not greedy, you will never be trapped by scammers.
If you are knowledgeable you should know that exchanges, casinos, and platforms have IP tracking machines and they will make some sorta account restrictions if logged-in IPs suddenly changed from nation A to nation B, different geolocation changes, I meant.
Such changes can be ignored but if there is combination of the change and instant withdrawal request, I am sure account will be seriously restricted. Withdrawal request will be put on hold and under investigations.
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1. The fastest bitcoin transaction I made was 9 minutes and some seconds with bitcoin core full client wallet. Can the transaction time be reduced to 1-5 minutes. I mean if I still increase my transaction fee, because I use the normal transaction fee, suppose if I increased it to high fee.
Bitcoin blocktime is volatile but its average or median time is around 10 minutes. The analysis BTC empty blocks (2009 - 5 May 2020): miners, size, daily, monthly,yearly stats give you overview on bitcoin blocktime for empty blocks and one-block before those empty blocks. 2. I think the transaction fee can altar bitcoin transaction time? Or why should we increase the transaction fee?
If you are not in a hurry with your crypto bussiness, you should not accept high fees. There are opportunities to move your bitcoin at cheap fees, especially in the weekends. Bitcoin transaction fees (in sats/kb). Sunday, Saturday are best to move BTCRemember to consolidate your inputs to prepare for later move when fees are cheapest. [JULY 2020] Fees are low, use this opportunity to Consolidate your small inputs!3. I notice when I transfer from my wallet to another person, the amount of bitcoin transferred will leave my wallet immediately, but it still take time to reach my friend wallet, where is the bitcoin at the time? Not in my wallet not in my friend's wallet.
It is automatic movements from hot wallets to cold wallets of platforms. This point is incorrect because I did not careful read OP (joniboni is right) Your coin does not actually leave your wallet if your transaction does not have at least 1 confirmation. Transaction can be removed from mempool |
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Although this is something I missed since I just know that deleting posts will also decrease the activity of that member I thought activity was something permanent once the player reach it.
The forum allows one user has 14 activity points in maximum for each 14 days. The interesting point (that you missed) is that one has to post a single post to get the potential 14 activity points for each 14-days period. Later on, 3 months, 6 months later, he can be more actively post more than 14 posts for each 14-days period and all redundant posts (15th to 20th, ie.) will be counted for the period that was marked with 1 post for that period. Let's imagine there are 2 period in this July: - 1st - 2nd weeks of July: I make only 1 post
- 3rd - 4th weeks of July: I make 27 posts
I will get exactly 28 activity points for all 28 days in July (to keep it simple as that, let's assume July has only 28 days). Next, if you delete 26 posts during 3rd to 4th weeks of July, you will still have one post to mark that period so that you can post more and get a maximum 14 activity points for that period later. If you delete all 28 posts, and no posts left to mark those 4 weeks, it is impossible to make extra posts and get activity points later.
About BobLawblaw who has been demoted to Member. Now, he has 62 posts in total. Assume that he has those 62 posts to mark for 62 periods (14 days for each, each post mark each of 62 periods), he will be able to get a maximum activity points at 868 (62*14 = 868) if he make enough extra posts later. |
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Not sure what to make of all of this (other than my previous post in this thread) but I have seen a couple of users asking about ways to delete their accounts. I do recall that shorena had a "service" where they would "clean" a UID - quite literally by deleting each and every post. I'm not sure how shorena was able to delete any threads a user would start (unless they were a mod/had help from a mod) but that would be a sticking point for anyone wanting to self delete rather than be nuked.
As to sabotage, that would be a possibility if a connection were made to the recipients of the merits handed out recently.
It is what you meant: [SAD] I delete your account. That services was suspended in May 2015 - 3 months after its birthday. Service temporarily suspended, will honor existing contracts.
Locking thread.
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But Im still confuse what's his purpose to delete his post history that much.
He disappointed for some reasons only he know and wanted to abandon the forum. Why did he do so (delete nearly all his posts, clear thread to empty ones)? I think he do love the forum and he is not sure that he will not come back to the forum, and reuse his account if he does not destroy it. For people who spend too much time on the forum, for years like BBL, I am sure he will do miss the forum. I remembered another case: mdayonliner who did not delete most of his posts. Indeed, he did something like what described In the process of willingly locking mdayonliner |
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Update 2020w28, 17jul2020 02:41:58 (GMT time)* last 3 days belong to 2020w29.For all users:- Number of users who only earned at least 1 merit: 19928
- Number of users who only sent at least 1 merit: 7381
- Number of users who earned AND sent at least 1 merit: 14950
- Number of users who earned OR sent at least 1 merit: 42259
- Total banned users: 207713
- Total earned merits (for all): 627898
- Total sent merits (for all): 668913
For legit users only:- Total legit users: 12408
- Total earned merits: 592434
- Total sent merits: 640738
A summary table (for legit users only) | | | | | Earned merits | | | | | | Sent merits | | | | Groups | | | Freq. | Percent | Total earned | Percent | | | Freq. | Percent | Total sent | Percent | | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ | | 1-10 | | | 7602 | 61.3 | 35486 | 6.0 | | | 8782 | 70.8 | 30825 | 4.8 | | 11-100 | | | 3802 | 30.6 | 113847 | 19.2 | | | 2819 | 22.7 | 95621 | 14.9 | | 101-250 | | | 523 | 4.2 | 80550 | 13.6 | | | 475 | 3.8 | 73801 | 11.5 | | 251-500 | | | 223 | 1.8 | 75793 | 12.8 | | | 176 | 1.4 | 61739 | 9.6 | | 501-1000 | | | 158 | 1.3 | 113412 | 19.1 | | | 76 | 0.6 | 51503 | 8.0 | | 1001+ | | | 100 | 0.8 | 173346 | 29.3 | | | 80 | 0.6 | 327249 | 51.1 | | Total | | | 12408 | 100 | 592434 | 100 | | | 12408 | 100 | 640738 | 100 | | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ |
- Data on autobanned/ nuked users began at January 04, 2019, 08:03:06 AM *Counted at the start of this topic
| Merit status (for all) | Frequency | Percent | | _________________________ | ______________ | ______________ | | Sent only | 7381 | 17.5 | | Earned only | 19928 | 47.1 | | Both | 14950 | 35.4 | | Total | 42259 | 100 | | _________________________ | ______________ | ______________ | | Account status (for legit only) | | | | _________________________ | ______________ | ______________ | | Legit | 12408 | 83.0 | | Banned | 2542 | 17.0 | | Total | 14950 | 100 | | _________________________ | ______________ | ______________ |
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Hidden patrol pages are given in my thread Hidden pages/ features on the forum | | | | | | | | | | | | | | | | | | | | | | | | | Hidden pages/ features | | | Usecase descriptions | | | | | | Patrol | | | | | | | | | Recent posts | | | Last 100 recent posts (from all accounts) | | | | | | Patrol | | | Last 200 recent posts (from Newbie accounts) | | | | | | No-bounty patrol | | | Last 200 recent posts (from Newbie accounts (outside bounty threads) | | | | | | Customized recent posts | | | Last 100 recent posts (from all accounts) in a specific board (ex: 1 ~ Bitcoin discussion) | | | | | | No-bounty customized patrol | | | Last 200 recent posts (from Newbie accounts (outside bounty threads) (ex: 1 ~ Bitcoin discussion) | | |
Images in OP are too large and Coolcryptovator should resize them, then (if needed) use the width option in img blocks. |
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ABSTRACT 2020w28, GMT timeData is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w29 and an incomplete day (dayid = 906). Details on days dropped, please see above posts.
Intra-day merits:- Total observed days: 903
- Potential outliers are days that have intraday total merits beyond 195 or 1183
- Median of intraday merits over the period is 672
- 50% of observed days have their intra-day merits range from 565 to 812 (the interquartile range)
- In medians, the highest and lowest days are Thursday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
- There are 61 potential outliers (beyond 195 or 1183) in total.
- The distribution of outliers over years are: 43 (70.5%) for 2018, 14 (23.0%) for 2019, and 4 (6.5%) 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: 129
- The median of intra-week merits is 4662
- 50% of observed weeks (129 weeks in total), have total merits in the range 4259 to 5596 (the interquartile range of intra-week merits).
- Minimum and maximum of intra-week merits are 3186 and 27920, in 2018w35, and 2018w4, respectively;
- 9 potential outliers [beyond 2254 or 7602], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397); none of them occured in 2020.
- The last week with 4673 merits has its position at 63th among 129 weeks so far.
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Can I have the full list?
with N transactions, please.
Sure. If you need a full list. I will also give you statistics for your general statistics (last code block) but it will be for each merit sender. Unfortunately, I am busy now and will give it to you later today, about next 5 to 6 hours. Stay tuned!
Done. It is still not a full list (senders who sent only 1 merit to cabalism13 are all dropped). Variable notes- username: usernames of merit sender
- sent_userid: userid of merit sender
- merit: total merits sent to cabalism13 by a specific merit sender
- ntransactions: total number of merit transactions sent to cabalism13 by a specific merit sender
- nposts: total number of posts on which a specific merit sender sent merits to cabalism13
+-----------------------------------------------------------------------+
| username sent_userid merit ntransactions nposts |
|-----------------------------------------------------------------------|
1. | suchmoon 234771 57 3 3 |
2. | theymos 35 47 2 2 |
3. | TMAN 98986 46 9 9 |
4. | GreatArkansas 1164368 24 18 18 |
5. | sheenshane 1179651 22 20 20 |
|-----------------------------------------------------------------------|
6. | CryptopreneurBrainboss 1052091 22 14 14 |
7. | theyoungmillionaire 1180530 19 12 12 |
8. | finaleshot2016 888099 19 15 15 |
9. | Vod 30747 19 5 5 |
10. | LoyceV 459836 18 14 14 |
|-----------------------------------------------------------------------|
11. | cryptoaddictchie 1269701 18 11 11 |
12. | DdmrDdmr 1582324 18 15 15 |
13. | Bttzed03 1239188 16 8 8 |
14. | squatz1 738419 15 2 2 |
15. | Mr. Big 553678 15 9 9 |
|-----------------------------------------------------------------------|
16. | bL4nkcode 765632 14 12 12 |
17. | dbshck 153634 13 3 3 |
18. | Hhampuz 881377 12 11 11 |
19. | Jet Cash 698159 11 2 2 |
20. | lionheart78 221727 11 3 3 |
|-----------------------------------------------------------------------|
21. | tranthidung 1292764 10 10 10 |
22. | nutildah 317618 10 7 7 |
23. | DarkStar_ 507936 9 3 3 |
24. | The Pharmacist 487418 9 3 3 |
25. | xandry 382413 8 3 3 |
|-----------------------------------------------------------------------|
26. | asu 519783 8 8 8 |
27. | LogitechMouse 1143164 8 4 4 |
28. | bisdak40 1634336 8 5 5 |
29. | Yatsan 857883 8 4 4 |
30. | akirasendo17 1011538 8 5 5 |
|-----------------------------------------------------------------------|
31. | joniboini 1275282 7 2 2 |
32. | julerz12 950662 7 3 3 |
33. | plvbob0070 2449551 7 4 4 |
34. | Quickseller 358020 6 3 3 |
35. | rhomelmabini 1255873 6 6 6 |
|-----------------------------------------------------------------------|
36. | crwth 914465 6 5 5 |
37. | Lafu 805820 6 3 3 |
38. | o_e_l_e_o 1188543 6 5 5 |
39. | harizen 458393 6 6 6 |
40. | 1miau 2143453 6 5 5 |
|-----------------------------------------------------------------------|
41. | Theb 898928 6 4 4 |
42. | efrenbilantok 2132488 6 4 4 |
43. | Baofeng 984384 6 6 6 |
44. | Asuspawer09 1136961 6 6 6 |
45. | Ryker1 1002349 5 3 3 |
|-----------------------------------------------------------------------|
46. | YOSHIE 2363935 5 4 4 |
47. | Dabs 54791 5 3 3 |
48. | zenrol28 1232224 5 5 5 |
49. | Nellayar 1287090 5 5 5 |
50. | Maus0728 1289002 5 3 3 |
|-----------------------------------------------------------------------|
51. | bones261 452769 4 2 2 |
52. | serjent05 230934 4 2 2 |
53. | target 581624 4 2 2 |
54. | Heisenberg_Hunter 1564795 4 2 2 |
55. | Vaculin 720173 4 2 2 |
|-----------------------------------------------------------------------|
56. | yazher 1069571 4 4 4 |
57. | rosezionjohn 1215093 4 4 4 |
58. | qwertyup23 1022860 4 4 4 |
59. | lobcmt2 1321036 4 2 2 |
60. | Halab 1053119 3 2 2 |
|-----------------------------------------------------------------------|
61. | malikusama 879197 3 2 2 |
62. | Lucius 533583 3 3 3 |
63. | LFC_Bitcoin 379487 3 2 2 |
64. | ice18 603397 3 2 2 |
65. | xSkylarx 874537 3 2 2 |
|-----------------------------------------------------------------------|
66. | chaser15 523501 3 2 2 |
67. | Tytanowy Janusz 1925869 3 2 2 |
68. | maxreish 1933064 3 2 2 |
69. | JayJuanGee 252510 3 3 3 |
70. | goaldigger 1181447 3 2 2 |
|-----------------------------------------------------------------------|
71. | hilariousetc 397737 3 2 2 |
72. | mk4 886521 3 3 3 |
73. | Coin-1 1133335 3 3 3 |
74. | r1s2g3 1446224 2 2 2 |
75. | zentdex 1331637 2 2 2 |
|-----------------------------------------------------------------------|
76. | Polar91 947291 2 2 2 |
77. | Darker45 901661 2 2 2 |
78. | sujonali1819 961008 2 2 2 |
79. | roycilik 1051955 2 2 2 |
80. | gunhell16 1101424 2 2 2 |
|-----------------------------------------------------------------------|
81. | danherbias07 526910 2 2 2 |
82. | Japinat 816346 2 2 2 |
83. | DireWolfM14 2003859 2 2 2 |
84. | yogg 140827 2 2 2 |
85. | S_Therapist 2423416 2 2 2 |
|-----------------------------------------------------------------------|
86. | TheNewAnon135246 153656 2 2 2 |
87. | inthelongrun 950786 2 2 2 |
88. | condoras 740502 2 2 2 |
89. | giammangiato 889300 2 2 2 |
90. | tbct_mt2 1096237 2 2 2 |
|-----------------------------------------------------------------------|
91. | cryptovigi 1697068 2 2 2 |
92. | Lauda 101872 2 2 2 |
93. | Scheede 1005083 2 2 2 |
94. | Coolcryptovator 1980983 2 2 2 |
95. | OgNasty 18321 2 2 2 |
|-----------------------------------------------------------------------|
96. | Debonaire217 2409302 2 2 2 |
97. | arwin100 755235 2 2 2 |
98. | kotajikikox 1066695 2 2 2 |
+-----------------------------------------------------------------------+
I don't think I have a script ready for this, and doing it manually is probably faster than making one. Update: or just read tranthidung's post, who beat me to it  In fact, I already have part of my script for Weekly earned merits (median) of top 100 merited users. I modified it a little to have nposts and ntransactions for each sender, rather than for total senders. |
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Greatest Sender
(username , total sent merit, total posts merited)
I hope I can give what you need. Below are results retrieved from last Friday merit data dump. Senders who sent less than 5 merits to cabalism13 are dropped from the list. +----------------------------------------------+
| merit username sent_userid |
|----------------------------------------------|
1. | 57 suchmoon 234771 |
2. | 47 theymos 35 |
3. | 46 TMAN 98986 |
4. | 24 GreatArkansas 1164368 |
5. | 22 sheenshane 1179651 |
|----------------------------------------------|
6. | 22 CryptopreneurBrainboss 1052091 |
7. | 19 Vod 30747 |
8. | 19 finaleshot2016 888099 |
9. | 19 theyoungmillionaire 1180530 |
10. | 18 LoyceV 459836 |
|----------------------------------------------|
11. | 18 cryptoaddictchie 1269701 |
12. | 18 DdmrDdmr 1582324 |
13. | 16 Bttzed03 1239188 |
14. | 15 squatz1 738419 |
15. | 15 Mr. Big 553678 |
|----------------------------------------------|
16. | 14 bL4nkcode 765632 |
17. | 13 enhu 350984 |
18. | 13 dbshck 153634 |
19. | 12 Hhampuz 881377 |
20. | 11 lionheart78 221727 |
|----------------------------------------------|
21. | 11 Jet Cash 698159 |
22. | 10 tranthidung 1292764 |
23. | 10 nutildah 317618 |
24. | 9 DarkStar_ 507936 |
25. | 9 The Pharmacist 487418 |
|----------------------------------------------|
26. | 8 asu 519783 |
27. | 8 akirasendo17 1011538 |
28. | 8 LogitechMouse 1143164 |
29. | 8 Yatsan 857883 |
30. | 8 xandry 382413 |
|----------------------------------------------|
31. | 8 bisdak40 1634336 |
32. | 8 philipma1957 64507 |
33. | 7 plvbob0070 2449551 |
34. | 7 julerz12 950662 |
35. | 7 joniboini 1275282 |
|----------------------------------------------|
36. | 6 1miau 2143453 |
37. | 6 o_e_l_e_o 1188543 |
38. | 6 Baofeng 984384 |
39. | 6 Lafu 805820 |
40. | 6 rhomelmabini 1255873 |
|----------------------------------------------|
41. | 6 harizen 458393 |
42. | 6 Theb 898928 |
43. | 6 efrenbilantok 2132488 |
44. | 6 Quickseller 358020 |
45. | 6 crwth 914465 |
|----------------------------------------------|
46. | 6 Asuspawer09 1136961 |
47. | 5 YOSHIE 2363935 |
48. | 5 Nellayar 1287090 |
49. | 5 malevolent 23092 |
50. | 5 Dabs 54791 |
|----------------------------------------------|
51. | 5 AniviaBtc 1126232 |
52. | 5 Ryker1 1002349 |
53. | 5 zenrol28 1232224 |
54. | 5 Coin_trader 807453 |
55. | 5 Maus0728 1289002 |
|----------------------------------------------|
56. | 5 Hatuferu 676080 |
57. | 5 marlboroza 787736 |
+----------------------------------------------+
Total merit senders (to cabalism13), total number of received merit transactions, total number of posts that received merits. +----------------------------------------------------------+
| username userid nsenders ntransactions nposts |
|----------------------------------------------------------|
1. | cabalism13 1605387 225 558 232 |
+----------------------------------------------------------+
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I find this thread really helpful at it summarizes activities made by most of the active cryptocurrency gambling sites we have now, I am just quite confused where the trust of these gambling sites came from? I viewed the ANN thread but I see, some accounts don't have a trust but in this thread, they have such as bitsler.
One asked about that in early days of the thread creation, I answered him too. Is it right that bitsler trust score is +8 / =0 / -0? If I am not wrong BitSler and BitSler support are involved in bitsler sites. So I can not see 8 green trust in these accounts. Also if you use your custom trust list then it also does not possible to be 8 green trust. Because they have not much feedback. I am correct or I am missed something? If I will correct then it should be solved. It is about Baryom but his trust score is 7, with default trust list. I forgot to check their trust scores with default trust list. I will update OP with some small corrections on trust scores. |
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Intra-week merits (from 24/1/2018 to 14/7/2020)Last 3 days dropped due to incomplete week (2020w29) and an incomplete day (dayid = 906)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 |
+-----------------+
- 50% of observed weeks ( 129 weeks) have total intra-week merits above 4662, whilst the rest 50% of them have total intra-week merits below 4662. 4662 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4254 to 5600 (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 | 129.0 5490.9 3203.7 4662.0 4259.0 5596.0 3186.0 27920.0
----------------------------------------------------------------------------------------------
. di 5596-4259
1337
. di 1337*1.5
2005.5
. di 5596+2005.5
7601.5
. di 4259-2005.5
2253.5
It means that potential outliers are weeks that have intra-week merits beyond 2254 or 7602. How many weeks are potential outliers? . count if (merit >= 7602 | merit < 2254) & merit != .
9
weeks are outliers, in total. List of those 9 weeks: +-----------------+
| merit week |
|-----------------|
1. | 27920 2018w4 |
2. | 20930 2018w5 |
3. | 14042 2018w6 |
4. | 11901 2018w7 |
5. | 8879 2018w8 |
|-----------------|
6. | 9005 2018w9 |
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 4673 merits) stays at the 63th position, among 129 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 5946 2018w15 |
|------------------------------|
26. | 26 5802 2020w20 |
27. | 27 5776 2019w3 |
28. | 28 5745 2020w1 |
29. | 29 5728 2019w13 |
30. | 30 5699 2020w18 |
|------------------------------|
31. | 31 5648 2020w19 |
32. | 32 5603 2020w12 |
33. | 33 5596 2019w20 |
34. | 34 5573 2020w6 |
35. | 35 5395 2020w2 |
|------------------------------|
36. | 36 5392 2020w13 |
37. | 37 5375 2019w43 |
38. | 38 5373 2019w24 |
39. | 39 5334 2020w21 |
40. | 40 5253 2019w15 |
|------------------------------|
41. | 41 5237 2020w9 |
42. | 42 5160 2019w42 |
43. | 43 5109 2020w11 |
44. | 44 5094 2020w15 |
45. | 45 5052 2020w16 |
|------------------------------|
46. | 46 5043 2018w18 |
47. | 47 5002 2019w19 |
48. | 48 4979 2019w10 |
49. | 49 4880 2019w16 |
50. | 50 4832 2019w50 |
|------------------------------|
51. | 51 4820 2018w17 |
52. | 52 4817 2019w18 |
53. | 53 4816 2019w44 |
54. | 54 4753 2019w45 |
55. | 55 4726 2019w9 |
|------------------------------|
56. | 56 4701 2019w41 |
57. | 57 4695 2019w14 |
58. | 58 4693 2019w21 |
59. | 59 4690 2019w12 |
60. | 60 4685 2018w19 |
|------------------------------|
61. | 61 4684 2018w26 |
62. | 62 4676 2020w23 |
63. | 63 4673 2020w28 |
64. | 64 4672 2019w26 |
65. | 65 4662 2020w22 |
|------------------------------|
66. | 66 4650 2019w49 |
67. | 67 4630 2020w27 |
68. | 68 4629 2019w25 |
69. | 69 4622 2020w10 |
70. | 70 4606 2018w47 |
|------------------------------|
71. | 71 4597 2019w23 |
72. | 72 4584 2019w1 |
73. | 73 4582 2019w4 |
74. | 74 4574 2018w25 |
75. | 75 4539 2020w17 |
|------------------------------|
76. | 76 4508 2018w39 |
77. | 77 4505 2019w6 |
78. | 78 4474 2020w26 |
79. | 79 4473 2018w23 |
80. | 80 4462 2019w28 |
|------------------------------|
81. | 81 4449 2018w16 |
82. | 82 4431 2018w20 |
83. | 83 4424 2018w42 |
84. | 84 4408 2019w5 |
85. | 85 4386 2018w43 |
|------------------------------|
86. | 86 4382 2019w38 |
87. | 87 4377 2019w30 |
88. | 88 4367 2018w27 |
89. | 89 4366 2020w25 |
90. | 90 4348 2019w39 |
|------------------------------|
91. | 91 4342 2019w22 |
92. | 92 4325 2018w40 |
93. | 93 4314 2019w8 |
94. | 94 4295 2019w11 |
95. | 95 4277 2018w29 |
|------------------------------|
96. | 96 4260 2019w17 |
97. | 97 4259 2019w7 |
98. | 98 4248 2018w22 |
99. | 99 4209 2019w40 |
100. | 100 4199 2018w32 |
|------------------------------|
101. | 101 4190 2020w24 |
102. | 102 4175 2018w45 |
103. | 103 4109 2018w28 |
104. | 104 4047 2018w46 |
105. | 105 4005 2019w29 |
|------------------------------|
106. | 106 4005 2019w37 |
107. | 107 3981 2018w41 |
108. | 108 3965 2019w33 |
109. | 109 3953 2018w24 |
110. | 110 3903 2018w21 |
|------------------------------|
111. | 111 3882 2019w27 |
112. | 112 3811 2019w34 |
113. | 113 3809 2018w30 |
114. | 114 3791 2018w48 |
115. | 115 3767 2018w33 |
|------------------------------|
116. | 116 3763 2018w34 |
117. | 117 3689 2018w50 |
118. | 118 3687 2018w52 |
119. | 119 3683 2019w36 |
120. | 120 3615 2018w51 |
|------------------------------|
121. | 121 3603 2019w31 |
122. | 122 3596 2018w49 |
123. | 123 3586 2018w37 |
124. | 124 3579 2019w35 |
125. | 125 3536 2018w36 |
|------------------------------|
126. | 126 3489 2018w31 |
127. | 127 3346 2019w32 |
128. | 128 3321 2018w44 |
129. | 129 3186 2018w35 |
+------------------------------+
|
|
|
|
Medians and means of intra-day merits over days of weeks GMT timeColors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Thursday , Tuesday , and Friday at 704, 704, and 702, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 614, 627, and 662, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 895, 844, and 803, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 693, 704, and 776, respectively. Basic statistics:Summary for variables: merit
by categories of: dofw
dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
Sunday | 129.0 692.7 345.0 627.0 505.0 739.0 300.0 3240.0
Monday | 129.0 775.5 420.8 662.0 581.0 850.0 370.0 3343.0
Tuesday | 129.0 802.5 459.3 704.0 595.0 835.0 339.0 3826.0
Wednesday | 129.0 779.3 418.4 698.0 607.0 832.0 347.0 4103.0
Thursday | 129.0 894.4 1159.7 704.0 587.0 837.0 411.0 12676.0
Friday | 129.0 843.3 722.2 702.0 576.0 828.0 373.0 6348.0
Saturday | 129.0 703.1 447.7 614.0 509.0 741.0 375.0 4627.0
----------+--------------------------------------------------------------------------------
Total | 903.0 784.4 628.1 672.0 565.0 812.0 300.0 12676.0
-------------------------------------------------------------------------------------------
Outliers non-displayed. Details on ranks:In medians +----------------------------------------------------------------------+
| rankmedian dofw median mean p25 p75 min max |
|----------------------------------------------------------------------|
1. | 1 Tuesday 704 802.5272 595 835 339 3826 |
2. | 2 Thursday 704 894.4186 587 837 411 12676 |
3. | 3 Friday 702 843.2713 576 828 373 6348 |
4. | 4 Wednesday 698 779.3488 607 832 347 4103 |
5. | 5 Monday 662 775.5194 581 850 370 3343 |
|----------------------------------------------------------------------|
6. | 6 Sunday 627 692.6899 505 739 300 3240 |
7. | 7 Saturday 614 703.1318 509 741 375 4627 |
+----------------------------------------------------------------------+
In means +--------------------------------------------------------------------+
| rankmean dofw mean median p25 p75 min max |
|--------------------------------------------------------------------|
1. | 1 Thursday 894.4186 704 587 837 411 12676 |
2. | 2 Friday 843.2713 702 576 828 373 6348 |
3. | 3 Tuesday 802.5272 704 595 835 339 3826 |
4. | 4 Wednesday 779.3488 698 607 832 347 4103 |
5. | 5 Monday 775.5194 662 581 850 370 3343 |
|--------------------------------------------------------------------|
6. | 6 Saturday 703.1318 614 509 741 375 4627 |
7. | 7 Sunday 692.6899 627 505 739 300 3240 |
+--------------------------------------------------------------------+
|
|
|
|
During the period from 24/1/2018 to 14/7/2020 (last 3 days dropped due to incomplete week, 2020w29 and an incomplete day - dayid = 906), 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 27 19feb2018 Monday 2018w8 2018m2 2018 |
49. | 49 1289 21 13feb2018 Tuesday 2018w7 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. | 4 347 299 18nov2018 Sunday 2018w46 2018m11 2018 |
5. | 5 347 330 19dec2018 Wednesday 2018w51 2018m12 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. | 13 378 305 24nov2018 Saturday 2018w47 2018m11 2018 |
14. | 14 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 |
15. | 15 378 566 12aug2019 Monday 2019w32 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. | 33 411 569 15aug2019 Thursday 2019w33 2019m8 2019 |
34. | 34 411 578 24aug2019 Saturday 2019w34 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. | 38 426 230 10sep2018 Monday 2018w37 2018m9 2018 |
39. | 39 426 346 04jan2019 Friday 2019w1 2019m1 2019 |
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 |
+-----------------------------------------------------------------------------+
|
|
|
|
Time-series plots:Full dataset:Truncated dataset:
Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w27 (daydi = 897, 898), the incomplete week & incomlete day (dayid = 906). variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 903 784.4153 628.1252 672 565 812 300 12676
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 195 or 1183. . di 812-565
247
. di 247*1.5
370.5
. di 812+370.5
1182.5
. di 565-370.5
194.5
There are 61 outliers (beyond 1183 or 195) in full dataset, in total. . count if (merit >= 1183 | merit <= 195) & merit != .
61
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 |
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: 43 (70.5%)
- 2019: 14 (23.0%)
- 2020: 4 (6.5%)
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