Your story is another inspirational story for my collection. Thank you for sharing it here and keep up your good work. Inspirational stories from self-made promoted usersThere is no need to say any more words about your story that reflects very well in OP and comments above mine. |
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Round 43 Payments have been sent out!
Thank you all for another great week. Hope you are staying safe and doing good in these uncertain times. I've been sick over the last few days but nothing too bad I hope. No new positions have opened up. Thank you, Hhampuz.
Hope that it is not relate to the SARS-Cov-2, and please stay safe and take care of your family as well (especially the elderly), manager and you all. All the best for PlayBetr team as well. I read on newspaper that the young generations in the Western nations don't care too much about the Covid-19 because they thought they are young, and strong enough to fight against the disease if they get infected. They could be right or wrong, depend on each infected person's immune system but they forgot about the ELDERLY around them, including their parents. Please follow the guides from your local CDCs and stay safe, not only for yourself, but also for your family members and the ones you love. Honestly, for weeks, I have not yet went to coffee stores (I missed them so much) because I worried about the rest of my family. We can only beat the pandemic, together! |
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Notes: - nsenders: Sum of merit senders.
- ntransactions: Sum of merit transactions one user received his/her merits.
- nposts: Sum of posts one user received his/her merits.
+------------------------------------------------------------------------------------------------------------------------------+
| rank_median username userid median mean p25 p75 min max nsenders ntransactions nposts |
|------------------------------------------------------------------------------------------------------------------------------|
1. | 69 satoshi 3 5 19.22 1 20 0 482 253 350 62 |
2. | 6 theymos 35 26 58.58 11 63 2 1328 930 2509 498 |
3. | 20 gmaxwell 11425 11 20.98 3 26 0 162 152 750 291 |
4. | 32 qwk 24140 9 13.32 3 19 0 88 212 813 490 |
5. | 36 Vod 30747 8 13.08 3 14 0 158 287 717 393 |
|------------------------------------------------------------------------------------------------------------------------------|
6. | 89 SaltySpitoon 38894 3 8.88 0 12 0 94 100 358 208 |
7. | 63 infofront 41175 6 8.38 2 12 0 74 136 676 409 |
8. | 40 jojo69 49008 8 11.02 4 13 0 102 148 870 601 |
9. | 79 Foxpup 55384 4 8.12 1 9 0 88 146 400 212 |
10. | 45 Carlton Banks 64205 8 10.74 3 14 0 76 153 673 413 |
|------------------------------------------------------------------------------------------------------------------------------|
11. | 29 philipma1957 64507 9 10.59 5 15 0 38 181 645 511 |
12. | 88 Welsh 84521 3 8.04 1 9 0 103 172 461 236 |
13. | 92 TMAN 98986 2 11.52 0 11 0 275 214 603 365 |
14. | 77 Lauda 101872 5 12.88 1 14 0 238 216 658 443 |
15. | 18 xhomerx10 120694 11 16.1 6 20 0 121 206 1027 595 |
|------------------------------------------------------------------------------------------------------------------------------|
16. | 91 wwzsocki 131333 3 8.43 0 11 0 70 150 577 303 |
17. | 47 yogg 140827 7 11.95 2 14 0 91 130 534 261 |
18. | 24 gentlemand 155345 10 12.34 5 18 1 74 266 959 727 |
19. | 67 stompix 164749 6 8.29 3 10 0 62 204 554 412 |
20. | 50 mindrust 176777 7 8.38 2 11 0 55 193 690 471 |
|------------------------------------------------------------------------------------------------------------------------------|
21. | 13 HairyMaclairy 181806 13 14.29 7 18 0 56 155 1274 896 |
22. | 75 Piggy 188198 5 10.24 0 15 0 85 190 447 146 |
23. | 3 suchmoon 234771 30 34.18 17 46 0 148 384 2213 1380 |
24. | 70 Toxic2040 239406 5 9.18 0 13 0 94 114 712 503 |
25. | 17 JayJuanGee 252510 11 13.04 5 18 0 43 195 1139 925 |
|------------------------------------------------------------------------------------------------------------------------------|
26. | 10 achow101 290195 15 19.17 8 26 0 77 166 1106 457 |
27. | 11 nutildah 317618 14 16.6 1 25 0 81 261 1046 667 |
28. | 58 minerjones 346731 7 9.65 1 14 0 67 107 411 271 |
29. | 73 yahoo62278 355846 5 11.54 2 13 0 130 358 732 287 |
30. | 78 Quickseller 358020 4 7.87 1 12 0 58 144 442 255 |
|------------------------------------------------------------------------------------------------------------------------------|
31. | 28 ETFbitcoin 359716 9 11.09 4 14 0 50 203 731 505 |
32. | 25 pooya87 379147 10 13.05 5 19 0 47 220 970 644 |
33. | 12 LFC_Bitcoin 379487 13 16.78 6 24 0 73 218 1415 987 |
34. | 14 hilariousetc 397737 12 16.68 3 23 0 90 200 873 527 |
35. | 53 mocacino 405464 7 9.98 4 14 0 48 166 638 351 |
|------------------------------------------------------------------------------------------------------------------------------|
36. | 1 LoyceV 459836 41 44.04 23 59 2 115 565 2683 1250 |
37. | 80 actmyame 465017 4 7.94 1 12 0 66 166 459 309 |
38. | 7 Last of the V8s 479624 22 22.65 11 31 0 64 226 1800 1233 |
39. | 95 Kalemder 487377 1 8.91 0 6 0 161 130 519 224 |
40. | 9 The Pharmacist 487418 16 21.76 10 30 0 93 308 1306 921 |
|------------------------------------------------------------------------------------------------------------------------------|
41. | 46 DarkStar_ 507936 7 11.41 2 15 0 78 278 713 382 |
42. | 22 TryNinja 557798 10 12.32 5 16 0 40 255 893 652 |
43. | 31 BobLawblaw 569455 9 11.15 5 15 0 55 140 962 601 |
44. | 51 bob123 579628 7 12.47 2 19 0 68 163 851 526 |
45. | 94 eddie13 580327 2 8.54 0 11 0 122 147 452 267 |
|------------------------------------------------------------------------------------------------------------------------------|
46. | 72 TheFuzzStone 679341 5 7.8 1 12 0 53 117 477 245 |
47. | 41 Jet Cash 698159 8 12.35 3 17 0 65 269 815 552 |
48. | 34 marlboroza 787736 9 12.27 3 14 0 79 202 637 395 |
49. | 64 Lafu 805820 6 8.07 2 11 0 41 149 605 354 |
50. | 15 HCP 867786 12 15.73 5 21 0 69 215 1032 658 |
|------------------------------------------------------------------------------------------------------------------------------|
51. | 76 Coding Enthusiast 879277 5 10.55 0 14 0 116 105 508 166 |
52. | 68 Hhampuz 881377 6 14.68 3 18 0 92 299 755 336 |
53. | 55 mjglqw 886521 7 8.66 3 12 0 52 240 677 453 |
54. | 52 xtraelv 897509 7 13.51 2 19 0 104 217 702 324 |
55. | 99 nullius 976210 0 12.7 0 4 0 180 208 646 256 |
|------------------------------------------------------------------------------------------------------------------------------|
56. | 38 krogothmanhattan 1000199 8 12.98 3 17 0 77 221 652 274 |
57. | 85 aundroid 1015954 4 9.01 0 11 0 64 103 624 353 |
58. | 93 Blacknavy 1018510 2 7.82 0 7 0 121 144 470 229 |
59. | 42 Goran_ 1039323 8 9.21 3 13 0 36 116 711 554 |
60. | 43 roycilik 1051955 8 11.96 3 18 0 48 145 752 299 |
|------------------------------------------------------------------------------------------------------------------------------|
61. | 81 CryptopreneurBrainboss 1052091 4 9.47 0 14 0 81 200 586 298 |
62. | 65 hugeblack 1059082 6 9.79 2 14 0 62 210 725 433 |
63. | 4 micgoossens 1067333 28 30.04 17 40 0 100 307 2187 1400 |
64. | 61 Xal0lex 1068464 6 9.42 2 12 0 116 122 555 313 |
65. | 90 PHI16168 1071136 3 8.64 0 9 0 85 114 364 156 |
|------------------------------------------------------------------------------------------------------------------------------|
66. | 71 igor72 1094195 5 8.02 0 13 0 29 82 469 319 |
67. | 27 Steamtyme 1112531 9 13.79 3 19 0 115 184 703 394 |
68. | 16 VB1001 1138727 12 15.02 0 24 0 98 182 1276 765 |
69. | 60 BitCryptex 1169179 6 11.07 3 15 0 126 144 611 306 |
70. | 44 Veleor 1177936 8 12.07 0 18 0 90 161 711 402 |
|------------------------------------------------------------------------------------------------------------------------------|
71. | 96 theyoungmillionaire 1180530 1 8.96 0 12 0 104 151 368 117 |
72. | 2 o_e_l_e_o 1188543 33 33.42 16 46 0 101 375 2074 1296 |
73. | 66 nc50lc 1237156 6 9.44 1 12 0 68 157 622 335 |
74. | 56 joniboni 1275282 7 11.56 4 17 0 54 183 731 429 |
75. | 98 masulum 1283017 0 8.89 0 14 0 61 128 567 208 |
|------------------------------------------------------------------------------------------------------------------------------|
76. | 19 iasenko 1291828 11 15.57 5 25 0 52 288 916 407 |
77. | 83 tranthidung 1292764 4 11.12 1 14 0 98 222 709 305 |
78. | 84 pandukelana2712 1304130 4 8.59 0 10 0 94 155 533 216 |
79. | 54 tvplus006 1311641 7 10.04 0 18 0 42 228 766 260 |
80. | 49 coinlocket$ 1339716 7 10.65 2 13 0 98 188 586 320 |
|------------------------------------------------------------------------------------------------------------------------------|
81. | 74 mole0815 1424178 5 9.87 2 13 0 73 110 745 519 |
82. | 62 witcher_sense 1433865 6 11.12 0 18 0 76 125 790 336 |
83. | 30 bitmover 1554927 9 11.51 5 16 0 48 249 829 472 |
84. | 39 mu_enrico 1574226 8 11.09 2 16 0 78 119 689 335 |
85. | 59 asche 1580039 6 8.88 1 12 0 50 125 631 395 |
|------------------------------------------------------------------------------------------------------------------------------|
86. | 5 DdmrDdmr 1582324 26 31.5 16 42 0 106 367 1861 983 |
87. | 82 Alex_Sr 1762404 4 8.27 1 12 0 103 110 535 341 |
88. | 37 morvillz7z 1825672 8 10.84 1 17 0 58 150 623 299 |
89. | 35 Husna QA 1827294 9 11.32 4 15 0 62 127 694 324 |
90. | 26 fillippone 1852120 10 24.21 0 35 0 141 270 1527 731 |
|------------------------------------------------------------------------------------------------------------------------------|
91. | 33 taikuri13 1855828 9 10.68 5 17 0 36 117 729 496 |
92. | 23 abhiseshakana 1878246 10 14.51 3 21 0 73 116 890 461 |
93. | 87 madnessteat 1894120 3 8.63 0 15 0 54 118 570 273 |
94. | 57 Coolcryptovator 1980983 7 10.28 2 14 0 64 259 732 340 |
95. | 86 lovesmayfamilis 1982152 4 10.14 0 17 0 45 109 828 345 |
|------------------------------------------------------------------------------------------------------------------------------|
96. | 48 DireWolfM14 2003859 7 13.04 1 18 0 84 197 730 416 |
97. | 100 Corrosive 2005913 0 8.5 0 5 0 172 92 246 69 |
98. | 8 mikeywith 2033515 16 18.6 0 30 0 92 221 1227 683 |
99. | 21 1miau 2143453 10 17.7 2 26 0 100 251 1218 554 |
100. | 97 Ratimov 2627711 0 9.79 0 6 0 93 121 618 351 |
+------------------------------------------------------------------------------------------------------------------------------+
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I am sorry for lack of update last week. So, this one is a bi-weekly update. I am going try to update it back to weekly basis.Update 2020w12ABSTRACT- Period: 2018w4 - 2020w12 20mar2020 02:50:12 (forum time).
- Observed weeks: 112
- Incomple weeks: 2018w4, 2020w12.
- The last merit transaction is at 20mar2020 02:50:12 (forum time)
List of top 100 merit earners, sorted descendingly by sum of earned merits: +-------------------------------------------------------+
| rank_total username userid total |
|-------------------------------------------------------|
1. | 1 theymos 35 6620 |
2. | 2 LoyceV 459836 4977 |
3. | 3 suchmoon 234771 3862 |
4. | 4 o_e_l_e_o 1188543 3776 |
5. | 5 DdmrDdmr 1582324 3560 |
|-------------------------------------------------------|
6. | 6 micgoossens 1067333 3395 |
7. | 7 fillippone 1852120 2736 |
8. | 8 Last of the V8s 479624 2559 |
9. | 9 The Pharmacist 487418 2459 |
10. | 10 gmaxwell 11425 2371 |
|-------------------------------------------------------|
11. | 11 satoshi 3 2172 |
12. | 12 achow101 290195 2166 |
13. | 13 mikeywith 2033515 2102 |
14. | 14 1miau 2143453 2000 |
15. | 15 LFC_Bitcoin 379487 1896 |
|-------------------------------------------------------|
16. | 16 hilariousetc 397737 1885 |
17. | 17 nutildah 317618 1876 |
18. | 18 xhomerx10 120694 1819 |
19. | 19 HCP 867786 1777 |
20. | 20 iasenko 1291828 1759 |
|-------------------------------------------------------|
21. | 21 VB1001 1138727 1697 |
22. | 22 Hhampuz 881377 1659 |
23. | 23 abhiseshakana 1878246 1640 |
24. | 24 HairyMaclairy 181806 1615 |
25. | 25 Steamtyme 1112531 1558 |
|-------------------------------------------------------|
26. | 26 xtraelv 897509 1527 |
27. | 27 qwk 24140 1505 |
28. | 28 Vod 30747 1478 |
29. | 29 pooya87 379147 1475 |
30. | 30 JayJuanGee 252510 1473 |
|-------------------------------------------------------|
31. | 31 DireWolfM14 2003859 1473 |
32. | 32 krogothmanhattan 1000199 1467 |
33. | 33 Lauda 101872 1455 |
34. | 34 nullius 976210 1435 |
35. | 35 bob123 579628 1409 |
|-------------------------------------------------------|
36. | 36 Jet Cash 698159 1396 |
37. | 37 gentlemand 155345 1394 |
38. | 38 TryNinja 557798 1392 |
39. | 39 marlboroza 787736 1387 |
40. | 40 Veleor 1177936 1364 |
|-------------------------------------------------------|
41. | 41 roycilik 1051955 1352 |
42. | 42 yogg 140827 1350 |
43. | 43 joniboni 1275282 1306 |
44. | 44 yahoo62278 355846 1304 |
45. | 45 TMAN 98986 1302 |
|-------------------------------------------------------|
46. | 46 bitmover 1554927 1301 |
47. | 47 DarkStar_ 507936 1289 |
48. | 48 Husna QA 1827294 1279 |
49. | 49 BobLawblaw 569455 1260 |
50. | 50 witcher_sense 1433865 1257 |
|-------------------------------------------------------|
51. | 51 tranthidung 1292764 1256 |
52. | 52 ETFbitcoin 359716 1253 |
53. | 53 mu_enrico 1574226 1253 |
54. | 54 BitCryptex 1169179 1251 |
55. | 55 jojo69 49008 1245 |
|-------------------------------------------------------|
56. | 56 morvillz7z 1825672 1225 |
57. | 57 Carlton Banks 64205 1214 |
58. | 58 taikuri13 1855828 1207 |
59. | 59 coinlocket$ 1339716 1204 |
60. | 60 philipma1957 64507 1197 |
|-------------------------------------------------------|
61. | 61 Coding Enthusiast 879277 1192 |
62. | 62 Coolcryptovator 1980983 1162 |
63. | 63 Piggy 188198 1157 |
64. | 64 lovesmayfamilis 1982152 1146 |
65. | 65 tvplus006 1311641 1135 |
|-------------------------------------------------------|
66. | 66 mocacino 405464 1128 |
67. | 67 mole0815 1424178 1115 |
68. | 68 Ratimov 2627711 1106 |
69. | 69 hugeblack 1059082 1106 |
70. | 70 minerjones 346731 1090 |
|-------------------------------------------------------|
71. | 71 CryptopreneurBrainboss 1052091 1070 |
72. | 72 nc50lc 1237156 1067 |
73. | 73 Xal0lex 1068464 1064 |
74. | 74 Goran_ 1039323 1041 |
75. | 75 Toxic2040 239406 1037 |
|-------------------------------------------------------|
76. | 76 aundroid 1015954 1018 |
77. | 77 theyoungmillionaire 1180530 1012 |
78. | 78 Kalemder 487377 1007 |
79. | 79 masulum 1283017 1005 |
80. | 80 SaltySpitoon 38894 1004 |
|-------------------------------------------------------|
81. | 81 asche 1580039 1004 |
82. | 82 mjglqw 886521 979 |
83. | 83 PHI16168 1071136 976 |
84. | 84 madnessteat 1894120 975 |
85. | 85 pandukelana2712 1304130 971 |
|-------------------------------------------------------|
86. | 86 eddie13 580327 965 |
87. | 87 Corrosive 2005913 960 |
88. | 88 wwzsocki 131333 953 |
89. | 89 mindrust 176777 947 |
90. | 90 infofront 41175 947 |
|-------------------------------------------------------|
91. | 91 stompix 164749 937 |
92. | 92 Alex_Sr 1762404 934 |
93. | 93 Foxpup 55384 918 |
94. | 94 Lafu 805820 912 |
95. | 95 Welsh 84521 908 |
|-------------------------------------------------------|
96. | 96 igor72 1094195 906 |
97. | 97 actmyame 465017 897 |
98. | 98 Quickseller 358020 889 |
99. | 99 Blacknavy 1018510 884 |
100. | 100 TheFuzzStone 679341 881 |
+-------------------------------------------------------+
List of top 100 merit earners, sorted descendingly by median of weekly earned merits: +------------------------------------------------------------------------------------------+
| rank_median username userid median mean p25 p75 min max |
|------------------------------------------------------------------------------------------|
1. | 1 LoyceV 459836 41 44.04 23 59 2 115 |
2. | 2 o_e_l_e_o 1188543 33 33.42 16 46 0 101 |
3. | 3 suchmoon 234771 30 34.18 17 46 0 148 |
4. | 4 micgoossens 1067333 28 30.04 17 40 0 100 |
5. | 5 DdmrDdmr 1582324 26 31.5 16 42 0 106 |
|------------------------------------------------------------------------------------------|
6. | 6 theymos 35 26 58.58 11 63 2 1328 |
7. | 7 Last of the V8s 479624 22 22.65 11 31 0 64 |
8. | 8 mikeywith 2033515 16 18.6 0 30 0 92 |
9. | 9 The Pharmacist 487418 16 21.76 10 30 0 93 |
10. | 10 achow101 290195 15 19.17 8 26 0 77 |
|------------------------------------------------------------------------------------------|
11. | 11 nutildah 317618 14 16.6 1 25 0 81 |
12. | 12 LFC_Bitcoin 379487 13 16.78 6 24 0 73 |
13. | 13 HairyMaclairy 181806 13 14.29 7 18 0 56 |
14. | 14 hilariousetc 397737 12 16.68 3 23 0 90 |
15. | 15 HCP 867786 12 15.73 5 21 0 69 |
|------------------------------------------------------------------------------------------|
16. | 16 VB1001 1138727 12 15.02 0 24 0 98 |
17. | 17 JayJuanGee 252510 11 13.04 5 18 0 43 |
18. | 18 xhomerx10 120694 11 16.1 6 20 0 121 |
19. | 19 iasenko 1291828 11 15.57 5 25 0 52 |
20. | 20 gmaxwell 11425 11 20.98 3 26 0 162 |
|------------------------------------------------------------------------------------------|
21. | 21 1miau 2143453 10 17.7 2 26 0 100 |
22. | 22 TryNinja 557798 10 12.32 5 16 0 40 |
23. | 23 abhiseshakana 1878246 10 14.51 3 21 0 73 |
24. | 24 gentlemand 155345 10 12.34 5 18 1 74 |
25. | 25 pooya87 379147 10 13.05 5 19 0 47 |
|------------------------------------------------------------------------------------------|
26. | 26 fillippone 1852120 10 24.21 0 35 0 141 |
27. | 27 Steamtyme 1112531 9 13.79 3 19 0 115 |
28. | 28 ETFbitcoin 359716 9 11.09 4 14 0 50 |
29. | 29 philipma1957 64507 9 10.59 5 15 0 38 |
30. | 30 bitmover 1554927 9 11.51 5 16 0 48 |
|------------------------------------------------------------------------------------------|
31. | 31 BobLawblaw 569455 9 11.15 5 15 0 55 |
32. | 32 qwk 24140 9 13.32 3 19 0 88 |
33. | 33 taikuri13 1855828 9 10.68 5 17 0 36 |
34. | 34 marlboroza 787736 9 12.27 3 14 0 79 |
35. | 35 Husna QA 1827294 9 11.32 4 15 0 62 |
|------------------------------------------------------------------------------------------|
36. | 36 Vod 30747 8 13.08 3 14 0 158 |
37. | 37 morvillz7z 1825672 8 10.84 1 17 0 58 |
38. | 38 krogothmanhattan 1000199 8 12.98 3 17 0 77 |
39. | 39 mu_enrico 1574226 8 11.09 2 16 0 78 |
40. | 40 jojo69 49008 8 11.02 4 13 0 102 |
|------------------------------------------------------------------------------------------|
41. | 41 Jet Cash 698159 8 12.35 3 17 0 65 |
42. | 42 Goran_ 1039323 8 9.21 3 13 0 36 |
43. | 43 roycilik 1051955 8 11.96 3 18 0 48 |
44. | 44 Veleor 1177936 8 12.07 0 18 0 90 |
45. | 45 Carlton Banks 64205 8 10.74 3 14 0 76 |
|------------------------------------------------------------------------------------------|
46. | 46 DarkStar_ 507936 7 11.41 2 15 0 78 |
47. | 47 yogg 140827 7 11.95 2 14 0 91 |
48. | 48 DireWolfM14 2003859 7 13.04 1 18 0 84 |
49. | 49 coinlocket$ 1339716 7 10.65 2 13 0 98 |
50. | 50 mindrust 176777 7 8.38 2 11 0 55 |
|------------------------------------------------------------------------------------------|
51. | 51 bob123 579628 7 12.47 2 19 0 68 |
52. | 52 xtraelv 897509 7 13.51 2 19 0 104 |
53. | 53 mocacino 405464 7 9.98 4 14 0 48 |
54. | 54 tvplus006 1311641 7 10.04 0 18 0 42 |
55. | 55 mjglqw 886521 7 8.66 3 12 0 52 |
|------------------------------------------------------------------------------------------|
56. | 56 joniboni 1275282 7 11.56 4 17 0 54 |
57. | 57 Coolcryptovator 1980983 7 10.28 2 14 0 64 |
58. | 58 minerjones 346731 7 9.65 1 14 0 67 |
59. | 59 asche 1580039 6 8.88 1 12 0 50 |
60. | 60 BitCryptex 1169179 6 11.07 3 15 0 126 |
|------------------------------------------------------------------------------------------|
61. | 61 Xal0lex 1068464 6 9.42 2 12 0 116 |
62. | 62 witcher_sense 1433865 6 11.12 0 18 0 76 |
63. | 63 infofront 41175 6 8.38 2 12 0 74 |
64. | 64 Lafu 805820 6 8.07 2 11 0 41 |
65. | 65 hugeblack 1059082 6 9.79 2 14 0 62 |
|------------------------------------------------------------------------------------------|
66. | 66 nc50lc 1237156 6 9.44 1 12 0 68 |
67. | 67 stompix 164749 6 8.29 3 10 0 62 |
68. | 68 Hhampuz 881377 6 14.68 3 18 0 92 |
69. | 69 satoshi 3 5 19.22 1 20 0 482 |
70. | 70 Toxic2040 239406 5 9.18 0 13 0 94 |
|------------------------------------------------------------------------------------------|
71. | 71 igor72 1094195 5 8.02 0 13 0 29 |
72. | 72 TheFuzzStone 679341 5 7.8 1 12 0 53 |
73. | 73 yahoo62278 355846 5 11.54 2 13 0 130 |
74. | 74 mole0815 1424178 5 9.87 2 13 0 73 |
75. | 75 Piggy 188198 5 10.24 0 15 0 85 |
|------------------------------------------------------------------------------------------|
76. | 76 Coding Enthusiast 879277 5 10.55 0 14 0 116 |
77. | 77 Lauda 101872 5 12.88 1 14 0 238 |
78. | 78 Quickseller 358020 4 7.87 1 12 0 58 |
79. | 79 Foxpup 55384 4 8.12 1 9 0 88 |
80. | 80 actmyame 465017 4 7.94 1 12 0 66 |
|------------------------------------------------------------------------------------------|
81. | 81 CryptopreneurBrainboss 1052091 4 9.47 0 14 0 81 |
82. | 82 Alex_Sr 1762404 4 8.27 1 12 0 103 |
83. | 83 tranthidung 1292764 4 11.12 1 14 0 98 |
84. | 84 pandukelana2712 1304130 4 8.59 0 10 0 94 |
85. | 85 aundroid 1015954 4 9.01 0 11 0 64 |
|------------------------------------------------------------------------------------------|
86. | 86 lovesmayfamilis 1982152 4 10.14 0 17 0 45 |
87. | 87 madnessteat 1894120 3 8.63 0 15 0 54 |
88. | 88 Welsh 84521 3 8.04 1 9 0 103 |
89. | 89 SaltySpitoon 38894 3 8.88 0 12 0 94 |
90. | 90 PHI16168 1071136 3 8.64 0 9 0 85 |
|------------------------------------------------------------------------------------------|
91. | 91 wwzsocki 131333 3 8.43 0 11 0 70 |
92. | 92 TMAN 98986 2 11.52 0 11 0 275 |
93. | 93 Blacknavy 1018510 2 7.82 0 7 0 121 |
94. | 94 eddie13 580327 2 8.54 0 11 0 122 |
95. | 95 Kalemder 487377 1 8.91 0 6 0 161 |
|------------------------------------------------------------------------------------------|
96. | 96 theyoungmillionaire 1180530 1 8.96 0 12 0 104 |
97. | 97 Ratimov 2627711 0 9.79 0 6 0 93 |
98. | 98 masulum 1283017 0 8.89 0 14 0 61 |
99. | 99 nullius 976210 0 12.7 0 4 0 180 |
100. | 100 Corrosive 2005913 0 8.5 0 5 0 172 |
+------------------------------------------------------------------------------------------+
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ABSTRACT 2020w11, GMT timeData is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w12 and an incomplete day (dayid = 787). Details on days dropped, please see above posts.
Intra-day merits:- Total observed days: 784
- Potential outliers are days that have intraday total merits beyond 162 or 1212
- Median of intraday merits over the period is 664
- 50% of observed days have their intra-day merits range from 556 to 818 (the interquartile range)
- In medians, the highest and lowest days are Tuesday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
- There are 56 potential outliers (beyond 162 or 1212) in total.
- The distribution of outliers over years are: 41 (73.2%) for 2018, 14 (25%) for 2019, and 1 (1.8%) 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: 112
- The median of intra-week merits is 4614
- 50% of observed weeks (110 weeks in total), have total merits in the range from 4187 to 5585 (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 2044 or 7728], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397).
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Intra-week merits (from 24/1/2018 to 17/3/2020)Last 3 days dropped due to incomplete week (2020w12) and an incomplete day (dayid = 787)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 |
+-----------------+
- 50% of observed weeks ( 112 weeks) have total intra-week merits above 4614, whilst the rest 50% of them have total intra-week merits below 4614. 4614 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4187 to 5585 (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 | 112.0 5557.4 3428.4 4614.0 4187.0 5584.5 3186.0 27920.0
----------------------------------------------------------------------------------------------
. di 5584.5-4187
1397.5
. di 1397.5*1.5
2096.25
. di 5584.5+2096.25
7680.75
. di 4187-2096.25
2090.75
It means that potential outliers are weeks that have intra-week merits beyond 2091 or 7681. How many weeks are potential outliers? . count if (merit >= 7681 | merit < 2091) & 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).  List of weeks in descending weekly meritsThe last week (with 5109 merits) stays at the 36th position, among 112 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 5946 2018w15 |
25. | 25 5776 2019w3 |
|------------------------------|
26. | 26 5745 2020w1 |
27. | 27 5728 2019w13 |
28. | 28 5596 2019w20 |
29. | 29 5573 2020w6 |
30. | 30 5395 2020w2 |
|------------------------------|
31. | 31 5375 2019w43 |
32. | 32 5373 2019w24 |
33. | 33 5253 2019w15 |
34. | 34 5237 2020w9 |
35. | 35 5160 2019w42 |
|------------------------------|
36. | 36 5109 2020w11 |
37. | 37 5043 2018w18 |
38. | 38 5002 2019w19 |
39. | 39 4979 2019w10 |
40. | 40 4880 2019w16 |
|------------------------------|
41. | 41 4832 2019w50 |
42. | 42 4820 2018w17 |
43. | 43 4817 2019w18 |
44. | 44 4816 2019w44 |
45. | 45 4753 2019w45 |
|------------------------------|
46. | 46 4726 2019w9 |
47. | 47 4701 2019w41 |
48. | 48 4695 2019w14 |
49. | 49 4693 2019w21 |
50. | 50 4690 2019w12 |
|------------------------------|
51. | 51 4685 2018w19 |
52. | 52 4684 2018w26 |
53. | 53 4672 2019w26 |
54. | 54 4650 2019w49 |
55. | 55 4629 2019w25 |
|------------------------------|
56. | 56 4622 2020w10 |
57. | 57 4606 2018w47 |
58. | 58 4597 2019w23 |
59. | 59 4584 2019w1 |
60. | 60 4582 2019w4 |
|------------------------------|
61. | 61 4574 2018w25 |
62. | 62 4508 2018w39 |
63. | 63 4505 2019w6 |
64. | 64 4473 2018w23 |
65. | 65 4462 2019w28 |
|------------------------------|
66. | 66 4449 2018w16 |
67. | 67 4431 2018w20 |
68. | 68 4424 2018w42 |
69. | 69 4408 2019w5 |
70. | 70 4386 2018w43 |
|------------------------------|
71. | 71 4382 2019w38 |
72. | 72 4377 2019w30 |
73. | 73 4367 2018w27 |
74. | 74 4348 2019w39 |
75. | 75 4342 2019w22 |
|------------------------------|
76. | 76 4325 2018w40 |
77. | 77 4314 2019w8 |
78. | 78 4295 2019w11 |
79. | 79 4277 2018w29 |
80. | 80 4260 2019w17 |
|------------------------------|
81. | 81 4259 2019w7 |
82. | 82 4248 2018w22 |
83. | 83 4209 2019w40 |
84. | 84 4199 2018w32 |
85. | 85 4175 2018w45 |
|------------------------------|
86. | 86 4109 2018w28 |
87. | 87 4047 2018w46 |
88. | 88 4005 2019w29 |
89. | 89 4005 2019w37 |
90. | 90 3981 2018w41 |
|------------------------------|
91. | 91 3965 2019w33 |
92. | 92 3953 2018w24 |
93. | 93 3903 2018w21 |
94. | 94 3882 2019w27 |
95. | 95 3811 2019w34 |
|------------------------------|
96. | 96 3809 2018w30 |
97. | 97 3791 2018w48 |
98. | 98 3767 2018w33 |
99. | 99 3763 2018w34 |
100. | 100 3689 2018w50 |
|------------------------------|
101. | 101 3687 2018w52 |
102. | 102 3683 2019w36 |
103. | 103 3615 2018w51 |
104. | 104 3603 2019w31 |
105. | 105 3596 2018w49 |
|------------------------------|
106. | 106 3586 2018w37 |
107. | 107 3579 2019w35 |
108. | 108 3536 2018w36 |
109. | 109 3489 2018w31 |
110. | 110 3346 2019w32 |
|------------------------------|
111. | 111 3321 2018w44 |
112. | 112 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 Tuesday, Thursday , and Friday at 702, 701, and 696, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 600, 622, and 661, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 916, 854, and 816, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 698, 709, and 783, respectively. Basic statistics:Summary for variables: merit
by categories of: dofw
dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
Sunday | 112 697.4286 364.0684 621.5 499 755.5 300 3240
Monday | 112 782.7589 448.8148 660.5 557.5 867.5 370 3343
Tuesday | 112 815.5714 489.82 702 593 871 339 3826
Wednesday | 112 783.5982 446.3148 661.5 597.5 834 347 4103
Thursday | 112 915.7232 1242.537 700.5 580 820.5 411 12676
Friday | 112 853.5357 773.5219 696 562.5 834 373 6348
Saturday | 112 708.8125 478.0683 599.5 502 732.5 375 4627
----------+--------------------------------------------------------------------------------
Total | 784 793.9184 671.4041 663.5 555.5 818 300 12676
-------------------------------------------------------------------------------------------
Outliers displayed as red circles. Outliers non-displayed. Details on ranks:In medians +--------------------------------------------------------------------------+
| rankmedian dofw median mean p25 p75 min max |
|--------------------------------------------------------------------------|
1. | 1 Tuesday 702 815.5714 593 871 339 3826 |
2. | 2 Thursday 700.5 915.7232 580 820.5 411 12676 |
3. | 3 Friday 696 853.5357 562.5 834 373 6348 |
4. | 4 Wednesday 661.5 783.5982 597.5 834 347 4103 |
5. | 5 Monday 660.5 782.7589 557.5 867.5 370 3343 |
|--------------------------------------------------------------------------|
6. | 6 Sunday 621.5 697.4286 499 755.5 300 3240 |
7. | 7 Saturday 599.5 708.8125 502 732.5 375 4627 |
+--------------------------------------------------------------------------+
In means +------------------------------------------------------------------------+
| rankmean dofw mean median p25 p75 min max |
|------------------------------------------------------------------------|
1. | 1 Thursday 915.7232 700.5 580 820.5 411 12676 |
2. | 2 Friday 853.5357 696 562.5 834 373 6348 |
3. | 3 Tuesday 815.5714 702 593 871 339 3826 |
4. | 4 Wednesday 783.5982 661.5 597.5 834 347 4103 |
5. | 5 Monday 782.7589 660.5 557.5 867.5 370 3343 |
|------------------------------------------------------------------------|
6. | 6 Saturday 708.8125 599.5 502 732.5 375 4627 |
7. | 7 Sunday 697.4286 621.5 499 755.5 300 3240 |
+------------------------------------------------------------------------+
|
|
|
|
During the period from 24/1/2018 to 17/3/2020 (last 3 days dropped due to incomplete week, 2020w12 and an incomplete day - dayid = 787), 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 2367 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 2003 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. | 4 347 299 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. | 18 385 215 26aug2018 Sunday 2018w34 2018m8 2018 |
19. | 19 385 327 16dec2018 Sunday 2018w50 2018m12 2018 |
20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 |
|-----------------------------------------------------------------------------|
21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 |
22. | 22 399 593 08sep2019 Sunday 2019w36 2019m9 2019 |
23. | 23 401 557 03aug2019 Saturday 2019w31 2019m8 2019 |
24. | 24 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 |
25. | 25 402 263 13oct2018 Saturday 2018w41 2018m10 2018 |
|-----------------------------------------------------------------------------|
26. | 26 404 229 09sep2018 Sunday 2018w36 2018m9 2018 |
27. | 27 406 277 27oct2018 Saturday 2018w43 2018m10 2018 |
28. | 28 408 530 07jul2019 Sunday 2019w27 2019m7 2019 |
29. | 29 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 |
30. | 30 409 123 26may2018 Saturday 2018w21 2018m5 2018 |
|-----------------------------------------------------------------------------|
31. | 31 410 279 29oct2018 Monday 2018w44 2018m10 2018 |
32. | 32 411 569 15aug2019 Thursday 2019w33 2019m8 2019 |
33. | 33 411 578 24aug2019 Saturday 2019w34 2019m8 2019 |
34. | 34 414 528 05jul2019 Friday 2019w27 2019m7 2019 |
35. | 35 421 193 04aug2018 Saturday 2018w31 2018m8 2018 |
|-----------------------------------------------------------------------------|
36. | 36 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 |
37. | 37 426 346 04jan2019 Friday 2019w1 2019m1 2019 |
38. | 38 426 230 10sep2018 Monday 2018w37 2018m9 2018 |
39. | 39 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 |
40. | 40 430 207 18aug2018 Saturday 2018w33 2018m8 2018 |
|-----------------------------------------------------------------------------|
41. | 41 432 587 02sep2019 Monday 2019w35 2019m9 2019 |
42. | 42 435 522 29jun2019 Saturday 2019w26 2019m6 2019 |
43. | 43 436 419 18mar2019 Monday 2019w11 2019m3 2019 |
44. | 44 440 559 05aug2019 Monday 2019w31 2019m8 2019 |
45. | 45 440 265 15oct2018 Monday 2018w42 2018m10 2018 |
|-----------------------------------------------------------------------------|
46. | 46 440 585 31aug2019 Saturday 2019w35 2019m8 2019 |
47. | 47 441 404 03mar2019 Sunday 2019w9 2019m3 2019 |
48. | 48 441 319 08dec2018 Saturday 2018w49 2018m12 2018 |
49. | 49 442 342 31dec2018 Monday 2018w52 2018m12 2018 |
50. | 50 442 278 28oct2018 Sunday 2018w43 2018m10 2018 |
+-----------------------------------------------------------------------------+
|
|
|
|
Time-series plots:Full dataset:Truncated dataset:
Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w12 (daydi = 785, 786), the incomplete week & incomlete day (dayid = 787). variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 784 793.9184 671.4041 663.5 555.5 818 300 12676
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 162 or 1212. . di 818-555.5
262.5
. di 262.5*1.5
393.75
. di 818+393.75
1211.75
. di 555.5-393.75
161.75
There are 56 outliers (beyond 1212 or 162) in full dataset, in total. . count if (merit >= 1212 | merit <= 162) & merit != .
56
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 2003 06feb2018 |
15. | 15 2367 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 1249 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 |
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 |
|---------------------------|
755. | 755 1364 17feb2020 |
+---------------------------+
- 2018: 41 (73.2%)
- 2019: 14 (25%)
- 2020: 1 (1.8%)
|
|
|
|
Once again, I am sorry for the lack of update last week. Today, I came back to do it but unfortunately theymos already dumped merit dataset for a new week. Hence, I skipped the previous week (2020w11) and below is update for the new week (2020w12). Converted dataset: - In 2020 at 20mar2020 02:50:12 (GMT time)
- The last one, with dayid = 787 is an incomplete day.
+-----------------------------------------------------------------+
| dayid date merit dofw week month year |
|-----------------------------------------------------------------|
708. | 708 01jan2020 810 Wednesday 2020w1 2020m1 2020 |
709. | 709 02jan2020 854 Thursday 2020w1 2020m1 2020 |
710. | 710 03jan2020 837 Friday 2020w1 2020m1 2020 |
711. | 711 04jan2020 637 Saturday 2020w1 2020m1 2020 |
712. | 712 05jan2020 777 Sunday 2020w1 2020m1 2020 |
|-----------------------------------------------------------------|
713. | 713 06jan2020 959 Monday 2020w1 2020m1 2020 |
714. | 714 07jan2020 871 Tuesday 2020w1 2020m1 2020 |
715. | 715 08jan2020 860 Wednesday 2020w2 2020m1 2020 |
716. | 716 09jan2020 733 Thursday 2020w2 2020m1 2020 |
717. | 717 10jan2020 745 Friday 2020w2 2020m1 2020 |
|-----------------------------------------------------------------|
718. | 718 11jan2020 743 Saturday 2020w2 2020m1 2020 |
719. | 719 12jan2020 689 Sunday 2020w2 2020m1 2020 |
720. | 720 13jan2020 754 Monday 2020w2 2020m1 2020 |
721. | 721 14jan2020 871 Tuesday 2020w2 2020m1 2020 |
722. | 722 15jan2020 979 Wednesday 2020w3 2020m1 2020 |
|-----------------------------------------------------------------|
723. | 723 16jan2020 972 Thursday 2020w3 2020m1 2020 |
724. | 724 17jan2020 1063 Friday 2020w3 2020m1 2020 |
725. | 725 18jan2020 823 Saturday 2020w3 2020m1 2020 |
726. | 726 19jan2020 1192 Sunday 2020w3 2020m1 2020 |
727. | 727 20jan2020 1136 Monday 2020w3 2020m1 2020 |
|-----------------------------------------------------------------|
728. | 728 21jan2020 1082 Tuesday 2020w3 2020m1 2020 |
729. | 729 22jan2020 863 Wednesday 2020w4 2020m1 2020 |
730. | 730 23jan2020 1050 Thursday 2020w4 2020m1 2020 |
731. | 731 24jan2020 1061 Friday 2020w4 2020m1 2020 |
732. | 732 25jan2020 1043 Saturday 2020w4 2020m1 2020 |
|-----------------------------------------------------------------|
733. | 733 26jan2020 715 Sunday 2020w4 2020m1 2020 |
734. | 734 27jan2020 961 Monday 2020w4 2020m1 2020 |
735. | 735 28jan2020 953 Tuesday 2020w4 2020m1 2020 |
736. | 736 29jan2020 1051 Wednesday 2020w5 2020m1 2020 |
737. | 737 30jan2020 1125 Thursday 2020w5 2020m1 2020 |
|-----------------------------------------------------------------|
738. | 738 31jan2020 1072 Friday 2020w5 2020m1 2020 |
739. | 739 01feb2020 705 Saturday 2020w5 2020m2 2020 |
740. | 740 02feb2020 836 Sunday 2020w5 2020m2 2020 |
741. | 741 03feb2020 908 Monday 2020w5 2020m2 2020 |
742. | 742 04feb2020 1059 Tuesday 2020w5 2020m2 2020 |
|-----------------------------------------------------------------|
743. | 743 05feb2020 873 Wednesday 2020w6 2020m2 2020 |
744. | 744 06feb2020 932 Thursday 2020w6 2020m2 2020 |
745. | 745 07feb2020 800 Friday 2020w6 2020m2 2020 |
746. | 746 08feb2020 763 Saturday 2020w6 2020m2 2020 |
747. | 747 09feb2020 724 Sunday 2020w6 2020m2 2020 |
|-----------------------------------------------------------------|
748. | 748 10feb2020 812 Monday 2020w6 2020m2 2020 |
749. | 749 11feb2020 669 Tuesday 2020w6 2020m2 2020 |
750. | 750 12feb2020 596 Wednesday 2020w7 2020m2 2020 |
751. | 751 13feb2020 1047 Thursday 2020w7 2020m2 2020 |
752. | 752 14feb2020 1041 Friday 2020w7 2020m2 2020 |
|-----------------------------------------------------------------|
753. | 753 15feb2020 890 Saturday 2020w7 2020m2 2020 |
754. | 754 16feb2020 790 Sunday 2020w7 2020m2 2020 |
755. | 755 17feb2020 1364 Monday 2020w7 2020m2 2020 |
756. | 756 18feb2020 1195 Tuesday 2020w7 2020m2 2020 |
757. | 757 19feb2020 1004 Wednesday 2020w8 2020m2 2020 |
|-----------------------------------------------------------------|
758. | 758 20feb2020 782 Thursday 2020w8 2020m2 2020 |
759. | 759 21feb2020 1050 Friday 2020w8 2020m2 2020 |
760. | 760 22feb2020 729 Saturday 2020w8 2020m2 2020 |
761. | 761 23feb2020 724 Sunday 2020w8 2020m2 2020 |
762. | 762 24feb2020 1037 Monday 2020w8 2020m2 2020 |
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763. | 763 25feb2020 988 Tuesday 2020w8 2020m2 2020 |
764. | 764 26feb2020 857 Wednesday 2020w9 2020m2 2020 |
765. | 765 27feb2020 960 Thursday 2020w9 2020m2 2020 |
766. | 766 28feb2020 678 Friday 2020w9 2020m2 2020 |
767. | 767 29feb2020 662 Saturday 2020w9 2020m2 2020 |
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768. | 768 01mar2020 651 Sunday 2020w9 2020m3 2020 |
769. | 769 02mar2020 755 Monday 2020w9 2020m3 2020 |
770. | 770 03mar2020 674 Tuesday 2020w9 2020m3 2020 |
771. | 771 04mar2020 572 Wednesday 2020w10 2020m3 2020 |
772. | 772 05mar2020 727 Thursday 2020w10 2020m3 2020 |
|-----------------------------------------------------------------|
773. | 773 06mar2020 622 Friday 2020w10 2020m3 2020 |
774. | 774 07mar2020 697 Saturday 2020w10 2020m3 2020 |
775. | 775 08mar2020 670 Sunday 2020w10 2020m3 2020 |
776. | 776 09mar2020 634 Monday 2020w10 2020m3 2020 |
777. | 777 10mar2020 700 Tuesday 2020w10 2020m3 2020 |
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778. | 778 11mar2020 800 Wednesday 2020w11 2020m3 2020 |
779. | 779 12mar2020 790 Thursday 2020w11 2020m3 2020 |
780. | 780 13mar2020 748 Friday 2020w11 2020m3 2020 |
781. | 781 14mar2020 562 Saturday 2020w11 2020m3 2020 |
782. | 782 15mar2020 528 Sunday 2020w11 2020m3 2020 |
|-----------------------------------------------------------------|
783. | 783 16mar2020 888 Monday 2020w11 2020m3 2020 |
784. | 784 17mar2020 793 Tuesday 2020w11 2020m3 2020 |
785. | 785 18mar2020 1090 Wednesday 2020w12 2020m3 2020 |
786. | 786 19mar2020 867 Thursday 2020w12 2020m3 2020 |
787. | 787 20mar2020 62 Friday 2020w12 2020m3 2020 |
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Traffic has a correlation with Bitcoin price and trend. Impression count ads over yearsI have not updated that thread recent months but I will do it when the second quarter of this year passes. These time series plots can help. A quick note is I used some multipliers for Bitcoin price in order to have berltter display (but the pattern of Bitcoin price remains the same). You can visit that thread for more details. |
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It’s the 21st century, wiping your ass on dried paper is disgusting. People should use wet wipes or water in modern times.
I guess people are paranoid to buy it because they thought in worst cases, when they need face masks but can not buy it, they can use toilet paper as substitute for face masks. That is a big thought but many people call into that trap. Those guys if join crypto, will end with losses because of paranoid and FOMO. Any way I saw the PL have delayed matches until April 30th. It they said they will finish the season.
Maybe it will be expanded till end of May (from China, they need 2 months to settle the Covid_19) |
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I don't see how using Telegram or Twitter can help with investing in BTC
But it does for trading. Crypto runs by news, and those platforms, with official project's channels and updated news can help traders. Unfortunately, totally relying on news can result in loses too if traders easily fall into the trap of FOMO, and join the party too late. Furthermore, news have to be screened and go through in-depth analysed before ready to use. I make my trading decisions from charts (most important), developers' activities, then news. News are only kind of supports for my decisions, if the price hits the points I identify with charts (or above it a little bit), if good news come I will step in |
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Facebook-like, Twitter-like, Instagram-like forum, abundant available emoticons, please NO. The forum community don't need them.
If you are unfamiliar with the forum, I understand what you feel about it (as I did in the past). After using it a few months, you will recognize that a text-based forum is better than all those above things. You can more easily focus on discussions and flow of ideas, through texts.
If you are curious, you can discover the fact by yourself: Search with animated avatar disabled. It happened back in 2018, when some casinos run their signature campaigns with both animated avatars and signatures, then the community complained. At the end, theymos stepped in and disabled all new animated avatars and signatures. For users who already worn them, they are grand-farther and still be able to display them. But if they took those stuffs off, they will no longer be able to display animated avatars and signatures.
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