DT1-strength of 258 users in 241 weeks (weekly updates)

[Plaguedeath]

Graphs! I want graphs

I have made a graphs but only use the first week (week 6), median (week 92) and the latest week (week 178). If I use the whole weeks to my graphs, it will mess since the data is really lot instead I use the first, median and latest since we can see the DT1 strength based on it was started, middle and until right now. I think the using of week 92 or median, we can know his performance is consistent. So here it is:

6=Week 6
92= Week 92
178= Week 178









Since I get some idea about that's graph, then I create two specific graph about the DT1 users who always have strength (both plus or minus), then I find The Pharmacist , qwk , actmyname , DarkStar_ , Welsh , Lesbian Cow, krogothmanhattan , Coolcryptovator , o_e_l_e_o , TheBeardedBaby , BitcoinPenny and HostFat who're selected in this graph. It's interesting HostFat always selected as DT1 but due to his strength is minus he can't become DT1.



Then, this graph is the users who doesn't have any DT1 strength on three weeks I mentioned above, that's why their power is 0.




Hope you like it

Miscellaneous:
You might want to change the name of Coolcryptovator to The Cryptovator

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[1miau]

Hello!
A few days ago, we had a short discussion in our local section if there's an existing topic to look up, how often which Bitcointalk accounts have been DT1 members.
I know about a few statistics from some years ago, when you scraped an overview which Accounts have always been DT1 every round since theymos launched "DefaultTrust 2.0" (voting-based DT).

But after no account has been left, these statistics weren't renewed.
Now my question: is it possible to scrape an overview, which accounts have been on DT most often?
If it's too much work, don't mind.
Or it's an interesting idea for a new topic, if possible. 

[LoyceV]

is it possible to scrape an overview, which accounts have been on DT most often?

Just get DT1-strength.txt, replace ",," by ",", then count who has the most commas after their name (this includes users with negative DT1 strength, so it only counts the DT1 election winners):

Code:

      	userID,username: <number of weeks on DT1 since I started keeping track>
     1	51173,mprep: 165
     2	507856,LeGaulois: 165
     3	175302,Avirunes: 164
     4	64507,philipma1957: 162
     5	1878246,abhiseshakana: 161
     6	113670,Mitchell: 161
     7	78147,Cyrus: 160
     8	55384,Foxpup: 160
     9	1000199,krogothmanhattan: 160
    10	164822,hilariousandco: 157
    11	35,theymos: 156
    12	206143,Lesbian Cow: 155
    13	290195,achow101: 154
    14	18321,OgNasty: 153
    15	1825672,morvillz7z: 153
    16	914465,crwth: 152
    17	1582324,DdmrDdmr: 152
    18	1339716,coinlocket$: 152
    19	1291828,TheBeardedBaby: 152
    20	24140,qwk: 151
    21	1980983,The Cryptovator: 150
    22	352429,BitcoinPenny: 149
    23	84521,Welsh: 148
    24	1188543,o_e_l_e_o: 148
    25	2003859,DireWolfM14: 147
    26	379487,LFC_Bitcoin: 146
    27	216582,willi9974: 146
    28	2143453,1miau: 145
    29	963279,bobita: 144
    30	805820,Lafu: 143
    31	507936,DarkStar_: 143
    32	153634,dbshck: 142
    33	1433865,witcher_sense: 142
    34	355846,yahoo62278: 141
    35	346731,minerjones: 141
    36	65636,babo: 138
    37	189967,buckrogers: 138
    38	1852120,fillippone: 138
    39	1982152,lovesmayfamilis: 137
    40	1067333,El duderino_: 137
    41	23092,malevolent: 133
    42	203,HostFat: 131
    43	317618,nutildah: 130
    44	465017,actmyname: 129
    45	459836,LoyceV: 129
    46	932931,Ale88: 128
    47	369212,zazarb: 128
    48	982288,Vispilio: 127
    49	11425,gmaxwell: 127
    50	765632,bL4nkcode: 126
    51	252510,JayJuanGee: 126
    52	487418,The Pharmacist: 125
    53	1097370,KTChampions: 125
    54	557798,TryNinja: 124
    55	1051955,roycilik: 124
    56	698159,Jet Cash: 123
    57	1894120,madnessteat: 123
    58	1137750,bavicrypto: 121
    59	120837,vizique: 118
    60	888099,finaleshot2016: 116
    61	176777,mindrust: 116
    62	1016855,JollyGood: 116
    63	407174,klarki: 115
    64	2654005,zasad@: 115
    65	1580039,asche: 115
    66	137185,jeremypwr: 114
    67	949248,Kryptowerk: 111
    68	2136362,TalkStar: 110
    69	1410401,dkbit98: 110
    70	307884,teeGUMES: 109
    71	1179651,sheenshane: 109
    72	811213,polymerbit: 108
    73	2627711,Ratimov: 108
    74	234771,suchmoon: 108
    75	1133335,Coin-1: 108
    76	1311641,tvplus006: 107
    77	1177936,Veleor: 107
    78	1164368,GreatArkansas: 107
    79	131361,Timelord2067: 106
    80	1424178,mole0815: 105
    81	84866,ibminer: 104
    82	1052091,CryptopreneurBrainboss: 104
    83	54791,Dabs: 103
    84	1855828,taikuri13: 103
    85	140827,yogg: 103
    86	740502,condoras: 102
    87	314792,examplens: 102
    88	129764,Ticked: 101
    89	366632,Royse777: 100
    90	667791,ekiller: 99
    91	897509,xtraelv: 98
    92	623643,johhnyUA: 98
    93	984384,Baofeng: 97
    94	400366,sandy-is-fine: 97
    95	1668017,anonymousminer: 97
    96	160943,greenplastic: 97
    97	1605387,cabalism13: 94
    98	347141,sapta: 93
    99	1247226,logfiles: 91
   100	538922,TwitchySeal: 89
   101	396526,ezeminer: 89
   102	313016,owlcatz: 89
   103	300014,DaveF: 89
   104	2658890,Rikafip: 89
   105	807453,Coin_trader: 88
   106	1827294,Husna QA: 88
   107	170072,arulbero: 88
   108	937020,duesoldi: 87
   109	1285450,Agrawas: 86
   110	34692,fronti: 85
   111	2363935,YOSHIE: 85
   112	1193837,3meek: 85
   113	289011,Rmcdermott927: 84
   114	23810,yxt: 84
   115	986781,imhoneer: 83
   116	2597426,efialtis: 82
   117	204821,Buchi-88: 82
   118	1836948,Bthd: 82
   119	351569,tmfp: 81
   120	224980,cryptodevil: 81
   121	986242,be.open: 80
   122	521899,SFR10: 80
   123	30747,Vod: 80
   124	857883,Yatsan: 78
   125	485285,WhiteManWhite: 77
   126	1289002,Maus0728: 76
   127	1137579,icopress: 74
   128	395806,o_solo_miner: 73
   129	350580,irfan_pak10: 72
   130	15728,TECSHARE: 72
   131	140584,EFS: 72
   132	1112531,Steamtyme: 72
   133	176461,Lydian: 71
   134	81995,peloso: 68
   135	2744352,bullrun2020bro: 68
   136	152486,by rallier: 68
   137	1275282,joniboini: 67
   138	1037701,xenon131: 67
   139	1024933,RaltcoinsB: 67
   140	547991,phishead: 66
   141	580327,eddie13: 65
   142	164749,stompix: 64
   143	679341,TheFuzzStone: 62
   144	579628,bob123: 61
   145	921974,webtricks: 60
   146	18640,SebastianJu: 59
   147	158444,hybridsole: 57
   148	18614,CanaryInTheMine: 56
   149	1003533,wolwoo: 56
   150	405482,Real-Duke: 55
   151	31931,Anduck: 54
   152	327499,dazedfool: 52
   153	18312,phantastisch: 51
   154	153656,TheNewAnon135246: 51
   155	1762404,Alex_Sr: 50
   156	109430,TookDk: 49
   157	1018510,Blacknavy: 48
   158	662400,kzv: 47
   159	519783,asu: 47
   160	817682,Gunthar: 46
   161	448601,muslol67: 43
   162	405889,SyGambler: 43
   163	2005913,Corrosive: 43
   164	81962,monkeynuts: 42
   165	364070,bitbollo: 42
   166	2652924,geophphreigh: 42
   167	1554927,bitmover: 42
   168	98986,TMAN: 41
   169	3420,dooglus: 40
   170	27470,cygan: 40
   171	1099980,Trofo: 40
   172	452769,bones261: 39
   173	1202061,chimk: 39
   174	976210,nullius: 38
   175	867786,HCP: 37
   176	2514450,rxalts: 37
   177	1213661,vycl87: 37
   178	2739424,NotATether: 36
   179	131333,wwzsocki: 36
   180	410541,MaoChao: 35
   181	23324,Balthazar: 35
   182	1316749,MoxnatyShmel: 35
   183	79608,Flying Hellfish: 34
   184	1304130,pandukelana2712: 34
   185	370611,bill gator: 33
   186	1724800,Lakai01: 33
   187	1180530,theyoungmillionaire: 33
   188	169515,EcuaMobi: 31
   189	1339358,gospodin: 30
   190	662330,BitcoinGirl.Club: 29
   191	115423,Micio: 29
   192	1285797,GazetaBitcoin: 28
   193	64205,Carlton Banks: 27
   194	2738899,FatFork: 27
   195	2160117,Harkorede: 27
   196	136484,figmentofmyass: 27
   197	211419,redsn0w: 25
   198	1071136,PHI1618: 25
   199	881377,Hhampuz: 23
   200	2204241,ICOEthics: 23
   201	1046135,AlyattesLydia: 22
   202	479624,Last of the V8s: 21
   203	33631,A-Bolt: 21
   204	2263197,The0ldl_lser: 20
   205	2148411,DIKUL: 20
   206	101872,Lauda: 20
   207	162384,hedgy73: 19
   208	1053119,Halab: 19
   209	2718725,Lachrymose: 18
   210	1292764,tranthidung: 17
   211	950662,julerz12: 16
   212	901859,buwaytress: 16
   213	257071,NeuroticFish: 16
   214	1091163,Silent26: 16
   215	1039323,Goran_: 14
   216	1082600,kenzawak: 13
   217	188198,Piggy: 12
   218	319562,JohnUser: 11
   219	1045971,igehhh: 11
   220	951020,otto_diesel: 9
   221	1478835,Stryfe: 9
   222	1094569,mosprognoz: 9
   223	55122,DiamondCardz: 8
   224	1776636,Hellmouth42: 8
   225	434984,mhanbostanci: 7
   226	903175,Csmiami: 5
   227	1170966,dragonvslinux: 5
   228	1024276,-doubleU-: 5
   229	487377,Kalemder: 4
   230	402550,digicoinuser: 4
   231	290159,Yaremi: 4
   232	134378,Blazed: 4
   233	1117066,Smartprofit: 4
   234	1094839,fzkto: 4
   235	37522,Tomatocage: 3
   236	2033515,mikeywith: 3
   237	2938510,MrCryptHodl: 2
   238	205954,robelneo: 2
   239	134226,Nestade: 2

This confirms I am not very lucky on the DT1-lottery, but at least I'm not the only one.

[Igebotz]

is it possible to scrape an overview, which accounts have been on DT most often?

Just get DT1-strength.txt, replace ",," by ",", then count who has the most commas after their name (this includes users with negative DT1 strength, so it only counts the DT1 election winners):

Code:

     
   219	1045971,igehhh: 11

This confirms I am not very lucky on the DT1-lottery, but at least I'm not the only one.

Does this mean I've been on DT1 since I became one? I thought it was a weekly reshuffle, but I keep seeing myself on the DT1 log over and over! Is this a good or bad sign?

[LoyceV]

Does this mean I've been on DT1 since I became one?

You're looking at the wrong data, but it's correct:

Code:

,week:,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196
1045971,igehhh,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,4,4,4,3,3,3,3,3,5,5

I thought it was a weekly reshuffle

Monthly.

I keep seeing myself on the DT1 log over and over! Is this a good or bad sign?

It's luck

[1miau]

...

Many thanks for your overview. It's been a while since "DefaultTrust 2.0" has been introduced but I didn't expect 196 weeks (more than 3 years already).
So, even the most lucky members have been out of DT1 for some time (165 weeks in compared to 196 possible).

This confirms I am not very lucky on the DT1-lottery, but at least I'm not the only one.

is it possible to scrape an overview, which accounts have been on DT most often?

Just get DT1-strength.txt, replace ",," by ",", then count who has the most commas after their name (this includes users with negative DT1 strength, so it only counts the DT1 election winners):

Code:

    28	2143453,1miau: 145
    45	459836,LoyceV: 129
    74	234771,suchmoon: 108

I'm even more lucky than you and suchmoon. 

[LoyceV]

Bump!
Who's making new graphs?

Bump

Graphs! I want graphs

Let's try this again

[dragonvslinux]

Bump!
Who's making new graphs?

Bump

Graphs! I want graphs

Let's try this again

What charts do you want? Had better luck importing this data than in the past so this is a lot easier now. Much less crashing.

Here's 4 years worth of data from current Top 10 / Bottom 10 DT1 members based on strength:

Here's also one from when you were last on DT1 for the LoyceV vs theymos battle:



Also did Top 11-20 strongest/weakest but they look quite boring. Can't remember how to do projection lines but will try remind myself.

Should probably have date at the bottom, but data doesn't come with dates. And axis labels, maybe.

Edit: there is also an error in there. +1 for whoever can spot it!

[LoyceV]

What charts do you want?

This is a good start

Here's 4 years worth of data from current Top 10 / Bottom 10 DT1 members based on strength:

Shouldn't I be in there? I'm on DT1 again since the last update.

Edit: there is also an error in there. +1 for whoever can spot it!

Is it the fact that I'm missing from the first graph?

[dragonvslinux]

What charts do you want?

This is a good start

Ok I made up some for Total DT1 Positive/Negative Strength as well as how strength is distributed so will update that old thread I guess.

Can't think what else might be interesting to analyse to be honest.

Here's 4 years worth of data from current Top 10 / Bottom 10 DT1 members based on strength:

Shouldn't I be in there? I'm on DT1 again since the last update.

Edit: there is also an error in there. +1 for whoever can spot it!

Is it the fact that I'm missing from the first graph?

I think you've forgotten how Loyce.Club works  and the source I'm using

That's why I added the chart that includes you from Week 211 data...

[dragonvslinux]

What charts do you want?

This is a good start

Without wanting to start a new thread, here's my current analysis on LoyceV vs Theymos over DT1 Strength 



Based on a power trend, you'd sustainably get ahead of Theymos in about 4 years. Your 50 Week MA (roughly 1 year average) has twice tried to surpass theymos' in the past year but no cigar.

In summary, it's too close to call right now, but you are still heading in the direction of overtaking theymos eventually it seems.

[dragonvslinux]

So what are the chances of getting DT2 strength data in similar .txt format, presumably from BPIP or otherwise calculated from loyce.club? It's a much longer list I'm aware.

I ask as there's a lot of DT2 members with a lot of DT strength, mainly those who have wiped their trust lists... could be interesting to compare/merge with DT1 graphs.

[LoyceV]

So what are the chances of getting DT2 strength data in similar .txt format

Changes aren't good I didn't store DT2-data other than Complete overview of users on DT1 and DT2 and their ratings. That topic has data on DT2-users for most weeks during the past 4 years, but it's spread out over 57 pages (and I don't want to deal with parsing them).

[dragonvslinux]

So what are the chances of getting DT2 strength data in similar .txt format

Changes aren't good I didn't store DT2-data other than Complete overview of users on DT1 and DT2 and their ratings. That topic has data on DT2-users for most weeks during the past 4 years, but it's spread out over 57 pages (and I don't want to deal with parsing them).

That topic also doesn't have DT2 strength as far as I can tell.

I was more thinking from 200+ weeks of data already stored at https://loyce.club/trust/, then DT2 strength per week could be calculated from:
DT1! inclusions - DT1! exclusions = DT2 strength

Ignoring (DT1) inclusions/exclusions if not mistaken? But no idea how to parse this data myself to create the data.

(I realise this would also calculate DT2 strength for DT1 members unless an additional variable was included, but that wouldn't be an issue)

Anyway, was just a thought, not much else.


Edit: Just realise my theory is flawed, as would only include DT2 members who have created a custom trust list in past 4 years.

[LoyceV]

That topic also doesn't have DT2 strength as far as I can tell.

I came back to edit my post, but you beat me to it. You're right.

I was more thinking from 200+ weeks of data already stored at https://loyce.club/trust/, then DT2 strength per week could be calculated from:
DT1! inclusions - DT1! exclusions = DT2 strength

Ignoring (DT1) inclusions/exclusions if not mistaken?

Correct. DT1-members with negative strength have no vote on DT2.

But no idea how to parse this data myself to create the data.

It looks pretty straight forward, but experience taught me it's going to take a couple of hours anyway.
Something like this should work: For each week, grep DT1-users from index.html, then check their Trust list for inclusions/exclusions. Add them all up. If you're going to include DT2-members with negative strength, it's going to be a very long list. JollyGood alone excluded thousands of users.

If you're up for it, I can get you the HTML as compressed file, that saves you downloading 20,000 individual pages (but you'll get a few million pages).

[dragonvslinux]

But no idea how to parse this data myself to create the data.

It looks pretty straight forward, but experience taught me it's going to take a couple of hours anyway.
Something like this should work: For each week, grep DT1-users from index.html, then check their Trust list for inclusions/exclusions. Add them all up. If you're going to include DT2-members with negative strength, it's going to be a very long list. JollyGood alone excluded thousands of users.

If you're up for it, I can get you the HTML as compressed file, that saves you downloading 20,000 individual pages (but you'll get a few million pages).

Would it be possible to just get HTML with only neutral/positive strength DT2 members? Ideally in same format as DT1-strength.txt, but imagine that's too much to ask.

Think I could do with avoiding 20K pages if possible, as not convinced my laptop will handle that. Ideally it'd also only show inclusions/exclusions per member from DT1!.

But could see how a file could format itself into a spreadsheet at least. Either it works or it doesn't...

[LoyceV]

Would it be possible to just get HTML with only neutral/positive strength DT2 members? Ideally in same format as DT1-strength.txt, but imagine that's too much to ask.

That requires analyzing the data already.... I may do it at some point (when I'm bored enough).

Think I could do with avoiding 20K pages if possible, as not convinced my laptop will handle that.

My laptop has 20 million files, it's fine

Ideally it'd also only show inclusions/exclusions per member from DT1!.

I'm intrigued: it shouldn't be that much work to loop through 200+ weeks of data. I just don't have the time for it.

[dragonvslinux]

Would it be possible to just get HTML with only neutral/positive strength DT2 members? Ideally in same format as DT1-strength.txt, but imagine that's too much to ask.

That requires analyzing the data already.... I may do it at some point (when I'm bored enough).

OK, maybe I'll wait for you to get bored enough at some point then
Not convinced I'm very good at the data refinement part...

Think I could do with avoiding 20K pages if possible, as not convinced my laptop will handle that.

My laptop has 20 million files, it's fine

It's not the files I'm worried about, it's importing into a spreadsheet. That's where it usually goes wrong if it's too much data.

Ideally it'd also only show inclusions/exclusions per member from DT1!.

I'm intrigued: it shouldn't be that much work to loop through 200+ weeks of data. I just don't have the time for it.

It's understandable. That's why I was thinking if the data was already refined to only DT1! inclusions/exclusions, it'd be a lot less data to parse (presumably). But then there's still the issue of thousands of users on DT2 -1, that in all honesty I don't really care about either. There's probably a logical way to parse the data without it taking too long though I imagine, I just wouldn't know how.

[LoyceV]

It's understandable. That's why I was thinking if the data was already refined to only DT1! inclusions/exclusions, it'd be a lot less data to parse (presumably). But then there's still the issue of thousands of users on DT2 -1, that in all honesty I don't really care about either. There's probably a logical way to parse the data without it taking too long though I imagine, I just wouldn't know how.

I think it's best if I scrape the total DT-strength for all users on DT1 and DT2, instead of just DT2. If it's just DT2, the gaps in the data can either mean the user is on DT1 that month, or the user has a negative DT2-strength. I don't think that gives an accurate overview, so it's better to show the total "DT-strength". What do you prefer?

I agree it makes no sense to show users with negative DT2-strength, but what about users who've had both positive and negative strength? If they go from 2 to 0 it doesn't them do justice if they should have been at -5.

[dragonvslinux]

It's understandable. That's why I was thinking if the data was already refined to only DT1! inclusions/exclusions, it'd be a lot less data to parse (presumably). But then there's still the issue of thousands of users on DT2 -1, that in all honesty I don't really care about either. There's probably a logical way to parse the data without it taking too long though I imagine, I just wouldn't know how.

I think it's best if I scrape the total DT-strength for all users on DT1 and DT2, instead of just DT2. If it's just DT2, the gaps in the data can either mean the user is on DT1 that month, or the user has a negative DT2-strength. I don't think that gives an accurate overview, so it's better to show the total "DT-strength". What do you prefer?

Yes makes sense. I'd prefer the general overview without being effected by DT lottery changes as it were. As then can also compare DT-strength of DT1 and DT2 members combined.

Ideally there'd still be the DT1 data (as you have done for many weeks now) as this data is a lot easier to manage (less of it). Not sure how well spreadsheet will function with a full DT-strength dump  

I agree it makes no sense to show users with negative DT2-strength, but what about users who've had both positive and negative strength? If they go from 2 to 0 it doesn't them do justice if they should have been at -5.

Again makes sense, as I imagine the list wouldn't be that much longer then. Also can compare how many users were DT2 and no longer are, compared to how many are still DT2.