Interesting project. It will help grouping same-wallet addresses, but won’t help identify group members of different wallets (datafeed subscribers)
I only tried to use same-wallet addresses to validate with my own addresses and with group of addresses connected in a big transaction.
My method is sensitive to voting patters of an address whose balance is less than 0.1 m nsr.
1 Like
This analysis is very interesting. Thank you for taking the time to do this.
I think this data is confirming my concerns – that there is a lot of minting power under either direct central control, or there are some large whale shareholders that vote but don’t participate in the community and deny us the privilege of understanding their logic / point-of-view.
In regards to a fork, I think this makes it possible to identify the Jordanites with decent accuracy. My take is in the recently seen maximal minting power that there is 60% Jordanites, 40% Entrepreneurists.
I would be curious how the Jordanites would vote in a “poison pill” motion. In fact there is kind of one of those motions – the “No liquidity without a plan” vs. the “repeal that motion”. I think both are like 30% - 40% or something.
I’d also be curious about if or how the “newly sold NSR” are voting. There are a lot of NSR going into the system.
3 Likes
Really smart analysis, you should apply at the secret service of your choice, they soon need people with those skills 
What I am missing a bit, but what you probably left out on purpose, is some kind of conclusion out of that. So yes, there seems to be some correlations with high density of NSR and yes, it looks in many ways like its a single identity.
But what can be gained from this data? For once I guess you can define some kind of filtered motion process that excludes particular clusters above and therefore wold reflect the opinion of the “other” shareholders. You can also use it for hard fork preparations, but somehow I don’t know if there is really unambiguous support among the real shareholders for that … I think many just want to sit it out right now, willing to risk that JL crashes their investment even further.
1 Like
I don’t understand what kind of surprise would there be. Phoenix has already stated that he will keep them at ~40%. He can probably manage his part. What a show.
Thanks. The methodology is quite usual in analysis field.
The posts about methodology should remain mostly factual so they canbe applied elsewhere. Interpretation can be included if generally useful but they really should go into separate posts.
The single identity conclusion has already been made in the OP and the post of control data, which used patterns of m/gs in a voting block to show overwhelming evidences of a single actor. But the data period and motion address coverage were both limited in those studies.
The last few posts give overall pictures of the voting scene, in terms of time-coverage and address coverage, using un-ordered m/g vote information in voting blocks to show that most shares voting for a specific group of m/gs only come out for special purposes, so are someone’s tactic tool.
Another evidence to show that a single actor is in control is that all these high-balance addresses start to find blocks of a new m/g within less than an hour. Human votors would started voting in hours if not days.
Finally good-old transaction analysis like MArk referred to can definately associate addresses with one wallet/actor.
These can go into a paper on detecting potential danger, in way of open or covert concensus control., faced by POS based voting systems.
We have to understand the situations before we recgnize the problems. I think it is fairly clear that an single actor absolutely controls ~170m nsr and some supporters 50m. The majority community (by head count) oppose the actor and have ~150m nsr. Other 50m have their own thoughts.
I already have a script to print 100-block consecutive Yes percentage by a list of addresses in any time period. So it is already possible for a group of community members to pass their own motions if instead of 100, 5000 blocks is used.
[Edit: there is no need to change local wallets in order to run the script]
2 Likes
Is there any way to find out if BlockShares have been compromised in the same way? We can’t advocate for people to trust B&C unless we know for sure that a single entity doesn’t control a majority of shares, allowing them to eventually steal all deposited funds.
It’s possible to gather the pubkeys of these minting NSR addresses and then check the corresponding BKS addresses. If they’re smart enough about anonymity though, we might not catch anything more than the airdrop BKS. Still, I’m guessing that 20%+ BKS are in the hands of those controlling these addresses.
I don’t think there have been highly controversial B&C motions that could differenciate potential groups.
I remember a motion that tried to reduce the rolling voting window to 2000 blocks.
Somebody planned ahead…
I found it. It’s from May 2015:
2 Likes
What an analysis! Impressive!
What is the purpose of that?
So basically 220m NSR are in favor of phoenix and represent roughly 60% of the minting power.
The rest opposes phoenix and represents 40%.
In this regard, although it will further decreases the value of NSR, we need to print more NSR if we d want to decrease the power of phoenix.
Because of needs of detailed info (e.g. here) here I publish address list of all groups in my above post.
Groups identifed by the column head letter in the charts, sequence numberm and the riches address:
B 1 STVUE9zWa4ehJMRikfsyASurTiWkd9aPGX
C 2 SWsxViiwzUnK7b2oniFWHUzTXzqE9YSbGF
D 3 SRvZN7usj8LFSE7cgUxcgnD4gCnZ4ipcNc
E 4 SRnU9ZAvdXvZeagttwajRdmcSGE28v6pnP
F 5 SQTHenWRCF7tZQb5RQAbf3pVYN3Jq5RET4
G 6 SdLG6bWQt1ErYHG2b5oSvNtfDR4p7UEYZ1
H 7 alone
I 8 SdEvwYHKxF4HWEJi4tsxs27XGyyJBrJAV7
J 9 SSYEvS7WTcdTLCbaCcuDiNPQkH9d6B1Mk6
K 10 SXgBT51tecVw1mnZavTt4cjJNovwHcbAZB
L 11 SMfU5GczLLmGG3uYtZnJCUEM5ykMtkzi7h
M 12 SZkidfJbKPFp7NCgyoakC7BgcoPET1DEFu
N 13 SUVq8Svahkr1Lts1t39YctDFp4Qmrrnniy
O 14 SUS8QA74TJjHjt74FNRRuExD4JZcan3woK
P 15 SXpjNK6bGZBHPrH9Q2eF8VF1WgzCpVHKrN
Q 16 Sa2ZHFh9hoEe8VF3KahuyhitsnmwREvbK5
R 17 SNtZMkA3TVKwz4MHVpdyfrn7nGopSC4hVa
S 18 SUYoewr5a6idhkfe4bgzPLcN6xyXXgPq16
T 19 Sa1MuyCR8Q8Z9twPoJ81ZM5vH9agzmS5kq
U 20 SkXrQdWiqj1T8D4KCf3SPnMj45nBhT48em
V 21 SjfhNyaYraFuteVFnecpii6mHRA7My6jMV
W 22 SVuzBiYKMRhFQt7cDEbbd5hb2ALXtcUtrS
X 23 SduFNmD75ur3TgDL8AmGGEbVx3xfgBb2qd
Y 24 SU1XJx2GXHE953LDArmZJD2qCKpms46zBg
Z 25 SVJ5GjT9LdxHfLSykZj9uoxCJ8oMrnZZvS
AA 26 ScwFzyhwquKHd951T8Fcg6GYWF2rttq9hr
AB 27 SkK1jm6V29x8e4wUqDibKpLorgKoDGpyit
AC 28 SbvU8w4odvCyRJopD54uARuK4Qr6ayVJZV
AD 29 SbMkva3z1gT9sjU9PF6m3wyEV5RsHGwAMN
AE 30 SSh6ULSykeLFiWdBcxei2wGtAFbyxmo4UK
AF 31 SUzJJpmD4pgzgTnJ6P5esHn9DSKkNeyZK6
AG 32 SUjZSqq5NKh9oH9uKfs9BMQ1J9L64RMovx
AH 33 SjD2ssPZxBYUub2XckvTF8BBVyiK67LQ4n
AI 34 SMbEzMNhPr4F6R8kKAZRuLQZTb2nd6Muqm
AJ 35 SYJWJSxGJ7is7dSU5MRRwzP1iegH4Eeksx
Address list of each group (correlation uncertainty votes address balance):
2.00 0.00 268 STVUE9zWa4ehJMRikfsyASurTiWkd9aPGX 1141714
1.00 0.03 21 SgXJ8sNDzXJZPj8pMoEufQQZ9bGRp2hCyx 1095680
1.00 0.03 20 Sj4JXJ1M7RhLEFtZVULaRUy2ZJPQxhogmX 1093880
1.00 0.03 19 SNdgPjvj16CiavbJUmVHgjUGs14pSRCewg 1093560
1.00 0.00 9 Sgevc9ddE26Ywgf8fbhXxRXZ8u2BVX6m8X 504480
1.00 0.00 7 SbBcENLiQhfLd13mi63ipBMuFPAXBQJw8V 265360
1.00 0.00 3 SVnAfvS2fUGxphg22H1t9RALm7svFqvjSh 227064
1.00 0.00 3 STLCivarkWbJrkmQaUkfetg2mQXJYSnWBJ 250400
1.00 0.00 28 SYyyURPos8NRubCS8J4pSn3TWLQ9pBBZ87 96360
1.00 0.00 26 SWT93RjHEQkX2KuQvQupyUx1iNv2YDTydm 92080
1.00 0.00 26 SUQQwgxHetLbRKKMzRMscZCP6HFWXccHCy 1093080
1.00 0.00 25 SdrKxg6aGYiJXnKC8tzGpMfJZDB3dgTBV3 1094480
1.00 0.00 24 Sd81oX6PCXWUL8PYscSqEefUC99t1vS8xG 94480
1.00 0.00 24 SbG4QXdmwPE7xG3D4bxUw6sdK7xqJBj5eN 1093560
1.00 0.00 24 SbEhZXbq6XDUKb3RHu3wdwC4NDnWM1LgoF 1095360
1.00 0.00 24 SPnxEXNDPrqArkxHBxBDDuucFR89rAqdhz 95160
1.00 0.00 24 SPZWyietodiL1Lv3K63e8SMjxwp2g54e87 93520
1.00 0.00 23 Sf8Da6sK6SbYKhpvQh715wRPbSHmiSvCvz 1093440
1.00 0.00 23 SUyoxBDdNbGgiCeMfL5wSvidH3nYCbpy6d 1093640
1.00 0.00 22 SbmCjVAKkcmgYFXYpYyHzkqFMnH2PLhiHb 1095040
1.00 0.00 22 SWJQqizp9Do83wF936xsAac3FYon9rTMZR 1095960
1.00 0.00 22 SVmBQggwuXz1UxSPJ5ydZLxWyY9UB6H83P 97800
1.00 0.00 22 SQ7wmwBGNuHoKLRbgvhA7r4EfNQgPuWs39 1092520
1.00 0.00 22 SN6aB8kyLbBcyE3JSn1c3XPGzFbpvxi9E1 1096000
1.00 0.00 21 SiNdsNW83euyXjqKYHa7J3HStiDB1VMqmq 1093920
1.00 0.00 21 Si1Q9v9pHpu1KfeAcYVP2dfDyoVtyDejt8 1093800
1.00 0.00 21 SYPby13eRCcR62msnzwJnvuzZnxFi2kVFP 1095200
1.00 0.00 21 SYLJbR2cr96544iN8ErVWPbwRnB6Vah7co 95960
1.00 0.00 21 SSsrjPxRGUYrCPtYZimy125YhpYKne3xhE 1095080
1.00 0.00 21 SPxM1YBfAoARCoA5uwxp7SR1iDZHd3F7Fs 1095160
1.00 0.00 20 SjHjs8qZrw9BuogToGLVN7p99oq5suuB1S 1095560
1.00 0.00 20 SgUuDdYeb4ozGpMPdeQZ7G8zsZ8QSc8uyx 1095200
1.00 0.00 20 SeXybRjrXbA25rJAPiThNZ9E2LiA9trqse 1092920
1.00 0.00 20 SSvfJ1GLbriQDUoNt9nDwb3UMd8rKFD2xd 1095880
1.00 0.00 19 SdgBgjZWUjSsr8f9yd5L4dyHGKFDoqZLPY 93040
1.00 0.00 19 SUtYoZR9yHAzCnFQ579iQXSG6v34Kn9n57 1092200
1.00 0.00 18 ShaRxqiVRkChcXwJFvnqXendiGhFmYyskb 656475
1.00 0.00 18 ShX2ZY3dsh6S5yjRSDDbPeAnYjPs6nEkdb 1094880
1.00 0.00 18 SXGW73kt1XSvS5D7SUnKFXLXTLWCYkaCzN 96880
1.00 0.00 18 SRHRF1xYsMJSiYRW8VBrCpM9aoABz6ySqJ 1094040
1.00 0.00 17 ScvfiRN5gKdxVxycL3bJPWQqzP3huboVmb 1093640
1.00 0.00 17 SVBLhaDZ57BXzvAks4ACmJkXh8yxgwWiew 1091800
1.00 0.00 16 SR2TbdiWKdMCJv6NK4ZwDNTDaLVcDM6obE 1096960
1.00 0.00 15 SfmzT7DxCPTWCruzDyD9zetWDW4TY6DNfb 1092320
1.00 0.00 14 SjK5MciLDTNRdmB4KLqvndUXC7QwjKjaVz 1093880
1.00 0.00 14 SgLosBzPgUtgwHzKdfNAN4FoveC8STGqqD 504040
1.00 0.00 12 SeCt5BkUhuE6qtweeNLWmbhd9UF4rw3CGC 500720
1.00 0.00 11 Sk576aPz7aDYKTCQKcyuqBigzSPvJLEmJB 501240
1.00 0.00 11 SbA7XGAawMifsKiqEDm23Y4XwtAfZKi4TU 901303
1.00 0.00 10 STf74V52JtFt7Eyy86tsUJY16VP6Mpmr2U 504560
1.00 0.00 10 SQmuHp5vTezpUC7ga5bUivPM5CVR5f2wnV 504000
0.99 0.03 20 SgtpJuYXoPY9nsxqZYgdmZ5TpMCjd69UH8 1096000
0.99 0.03 16 SSJVuQZTNfTeTPSG1iPSmCUkyVTHfFJn1g 1096440
0.99 0.03 15 SYanfx6XFKQUFeEx3AoAjLi4HnLS2aC4jq 1095040
0.99 0.00 28 SS1RdEDXuS7s32vybhd35iWjmXF5swAwEQ 94560
0.99 0.00 24 STdsEXiRokrziXRWCQcJsc9NuHjpx52KMU 1094640
0.99 0.00 22 SfnWAoZsL2zXjm4rBohx7iL9AGpqaxmW4F 1092800
0.99 0.00 21 SjMj6k7x8iEChcBao4a4BVxYNdUoc1qouB 1094400
0.99 0.00 20 SWiVmomB8VygfukS7YY94yxFe4Bxgs6BNX 1090240
0.99 0.00 20 SRJL6yJBVbAiTUCBJRivo2ViCNkxY8EKCG 1094640
0.99 0.00 19 SSPwKhtFEyQvUx9cPjaC8yUxdeNrTMfJfF 1095280
0.99 0.00 19 SQAhdMovqSeJpERM7bEwa2RxhTB1GUn29z 1093760
0.99 0.00 18 SfVde3aS5Co2KNrWqU6n96ZwkCMymACFtZ 1094440
0.98 0.05 7 SPQksYq5E8rVcMvP7mzHP69msxf4Z6vrXV 308318
0.98 0.00 16 STrMb4SJeu7BctQzn2m7JW9LUTbo6eQF3C 95280
0.98 0.00 15 SRoXJabw3K5jdwkvZa1o6d8RB9iDFDbu8g 1093880
0.98 0.00 12 SZbpesoGE1kGw9FTZr2zNbPPZcpaA1cFRq 504600
2.00 0.00 417 SWsxViiwzUnK7b2oniFWHUzTXzqE9YSbGF 3006438
1.00 0.03 56 Sg2xDvqPocLTZgPbveYEFzCBt4mZS6MjXs 713808
1.00 0.03 404 Sb6qsKxzwuVMHpP99Xn6LLLT2DRzFA6S4Y 381146
1.00 0.03 396 SXBLDZDgqXsFcAmJXenurrGijmgx7FsmoH 370081
1.00 0.02 269 Sb4oPvMWyuF1dPkSF6HUAMQQskzsAuNG6K 1438334
1.00 0.00 40 SMj2EeGmtWBLhQC6b9M1rNRjmia72eqLZd 30539
1.00 0.00 4 SbkbZvL9CUHV8yM6DB6pCYh19yaqX3dfLu 10360
1.00 0.00 38 SPU53pUG4AddqJKkDny1VJvWuwJ3Lz7qCB 31680
1.00 0.00 36 SNFUMdL8zPVRVyy1jgUDF2ULrNxT1eWcKc 31920
1.00 0.00 220 SSiLo1PR64dd11PQWNzqUdNgjHVry4TLpr 221360
1.00 0.00 136 SUCk1ifesa6xKmUZK7z2AfPKD94aZmrPDm 131245
0.99 0.05 914 SZoNo3aT7NYh5uG7iPA38iGZwhhZNankPP 2702165
0.99 0.05 898 STiHiRxTgD65aT25zyPhaLWBAArGCRFhkb 460120
0.99 0.05 888 SZbMiBR5Lx4e3HfTVTS2vRECmi4uCqnwUy 2644784
0.99 0.05 878 SVbnMZAdoH3zTQrXFMKxfR6HGmtvajvL5Y 2087095
0.99 0.05 859 STtNC8Mq3yo85Ec1uFj5TMpDNePuqnmiXu 2002704
0.99 0.04 910 SgPecoaa94HqvCy9muZkeL5fUqJgYDQk8k 471960
0.99 0.04 910 SSvFUpNVgda9pXqW4SKfA21YgKHbGo5iVb -2502836
0.99 0.04 886 SchSfr1RswBCkKMmxmx31dw2qEQqft1TSv 2076290
0.99 0.04 857 ShuskmMoG9wkcPgRgcNMfn7aqAaSSNqip4 1959036
0.99 0.04 677 SXmG95YvFKFnULRPUvyzq9BHgdYk2EShDZ 49120
0.99 0.04 656 SQ5cKn1oK6i1THjZPjPRADfsnT9sag4BDh 908769
0.99 0.04 623 Sd6WYcXm7RLhVhtVGXW47Uj573yV7t8Wrn 1558691
0.99 0.04 260 ScLxsXk5UvT859hmViuoJuNy5WMr1sVxuP 267568
0.99 0.03 750 SRQ8FzrG1LHK67u8oHr8YGLrvG1hugow6s 1113502
0.99 0.03 659 SftiCDZrfGBuQeX9deQ9WugyEhYWbK5N8a 916336
0.99 0.03 415 SS8mLaFNqYNyCfsFmyg8e94EgnPNLQZWmT 409464
0.99 0.03 333 SSYz1ZFTu3366zhHorpFynk2585uRC1QET 101200
0.99 0.03 275 ShLUCbBe24qTkSk6J6qMC5EzMZG7tJmXDK 1503671
0.99 0.03 271 SQyx87Q5S1Nnay2x3sXzZAgkfr6wKspKzg 814685
0.99 0.02 684 SQWfkZG1ZtdiQqynQc6Qq6FVatQyJYmg5D 946303
0.99 0.02 634 SWxrH3Viz79ohWp5v1KTBUZHk9oJvJU5nm 791559
0.99 0.02 578 SXuAY9o3VRsCBNue82CggGvhUopzYKPrDB 800262
0.99 0.02 563 STCapxpiTypRKXSot7jhgtKH5ZotnZD81S 760390
0.99 0.02 544 SYT6GPBqNy1Ed3TEqphxFoR1xEzEonTCK3 768630
0.99 0.01 465 SWdpeL3xiRhwMY8zaasygmgeMWioiVawuo 455045
0.98 0.05 238 SZKxSrbKFfrKn4ngDZtMioSAG7939f9ZkR 236552
0.98 0.04 714 STHZEpRQQkbJxJdiJdXtStaP1kHmMCjp2m 56120
0.98 0.04 602 Si43HyY47Ea3uKgPLMAQyFqpfVFd7NbKSj 773565
0.98 0.02 321 SUtGfePCYAzgVtPZtD9NrntK3QVicEHg4s 306400
0.98 0.01 278 Sc37HmJ3W9U2PHy4fVpy89wdVLPVd6Bo4C 327000
0.98 0.00 239 SPXQckQkY9q6QEHK3Gr4CN1JKhfvWxH5Fr -2595212
0.97 0.00 67 SUYi9wKZunpyazD3avSW93wwbcL2frbMas 52918
0.95 0.00 44 SZbVeYFpVhMXrAJcQPqwQt81xT5Gdz5xVF 42120
2.00 0.00 420 SRvZN7usj8LFSE7cgUxcgnD4gCnZ4ipcNc 7172280
1.00 0.02 161 Sbhkn5F8xh3UxFgrQ9eRFWZDTpbA9b4YQs 400960
1.00 0.02 1126 SXkBvqDQVACMnJQtr3h6MyyohLrEdkRtJF 915331
1.00 0.01 210 SkYqDvNtxv429V4UYp82yA2sdNF5syXSCR -120
1.00 0.00 79 SbmeP1U9k6oyY2Dm5Wvf95mgXtcY1QcGRP -172739
1.00 0.00 77 SiNZXuoX4dwdAPWLrzuiESHfVyny2XA46s 0
1.00 0.00 64 SfmUyCFBAvosLDoDeA3nsLqLByJH6TXqvb 10428
1.00 0.00 53 SZ4yMXeb1hYaz4u8yK3hBqWAx9VYgHkjiW 340358
1.00 0.00 15 SaH5y4dY5kiQnMMgwM6NP82ECupT4wNLW3 -40
0.99 0.04 1761 SkCz3b6evbBPcKNSSY2f5X4J6tjsAPPk4q 3544944
0.99 0.00 639 SZ596hJZwLPjZdf6Mm3DtLcGPXKWSKM4dA 282897
0.97 0.05 2466 ShyXPjTo4yK8So5fJL6AKb78gwyBc7R4P4 4545518
0.97 0.05 2465 SdEncaB3AjndFADqLcb3MPUt9fTWryjxhp 4052560
0.97 0.05 2458 SMjfFWjDn33N3cb3hGrEc4QgTQTMRQVrXu 3911040
0.97 0.05 2455 Sk3KtaM1ysgjW1xXHs3cTZsVKBKQF1QNVy 4267474
0.97 0.05 2453 SVDEn6N85aGGRxrVTR9rvVEpKBmCy4oJCd 3978280
0.97 0.05 2440 Sgb1sSCGZtcsJVFDYrXs7ffPLpaUiYqLuR 2403198
0.97 0.05 2436 SMv7x7zAtrs3QGrER9Vzw4GTX7BQdQ9vgR 3543144
0.97 0.05 2419 SP8mJUDLxGHqiQ8vijp5aPwwWnEThjdzzN 3901840
0.97 0.05 2305 SV6P4zTDbyPgost6iczta1wQenWb3XihkW 2316878
0.97 0.04 2444 SNfFPbmYhJSErY25FxPBpp58jjsDcBtHjp 4715063
0.97 0.04 2415 SgUj9GYYpEmUtz37oNGkJvdy9NjdJ6aNyv 3558342
0.97 0.04 1992 SVmrTPgxee8QEt8A2N77Sd7aCLbepT4mxc 1659203
0.97 0.02 882 SciMw5ZpViAj2pW9q2RWu4b3fK15vaHbAP 2140800
0.97 0.01 657 SQdi9rDUJJEfAwo6TBmZoTvwAyWbtsGvdZ 1
0.00 0.00 585 Shgs2VDbT8QPNnZDYPrZCWjiX9hWH4xj6W 29919
0.00 0.00 425 ShPLhETXWRo2MMSMyix52S17uvBwuPRQD4 71475
0.00 0.00 254 SZc8XwxcmCskevjYDY6shiKpEb9Fw6fyJC -40
0.00 0.00 11 ScKjzP4xat92fVhq32xTNiwDRA6qGT183p 14792
2.00 0.00 411 SRnU9ZAvdXvZeagttwajRdmcSGE28v6pnP 4137932
1.00 0.04 810 ScnLYtTJaYnBMV8mTnWqUUyQJjyvvBAcEP 1360052
1.00 0.03 776 Sh8VXGDBJRuhePpLRtKdD2d9QMJAuL4Tnb 272480
1.00 0.03 51 SVMw9oZFbrhyohCEWCrn2NRPhg3p2pyeip 979710
1.00 0.03 384 SMJQP5y4HFawDeuqPQYW58nxD9zrvJSqMB -120
1.00 0.03 202 SkSHrHnmTWb9w5N3rR73x7p1yfwVks1cmr -80
1.00 0.02 524 SVdXaizrZBdMMSE6hnW2UcK7peE24WFNMs 532400
1.00 0.00 9 Sck55UqPUVEgCJ4RAhxBx2xKDThyw9Eunb 81960
1.00 0.00 83 SaE2DMP3WY4PuXcGVdCVHxi713PxM9cGeV -403031
1.00 0.00 59 SQwu9UzZYHrNdCAqrbTd3niz2CCJMM7V58 474400
1.00 0.00 43 ScuzdSCUGPGEmygoCpgE5nN5VYKSYoVUKL 610120
1.00 0.00 23 ShgWBtEn639Mfy9kSeiu6Mj9uzfuzZfWhh 166600
1.00 0.00 23 SVVkKaPW6CUdpjE9KVwCgHZnVaX5j44oy6 978359
1.00 0.00 21 SYc25KR5uXWiMXHvMYJeSQRRXjdxhef39L 175160
1.00 0.00 20 SNUFvfwXXkmy2SC2E53GmrAsSDMHGxXCSg 364689
1.00 0.00 15 SMr3P7uygVtE1A8EjDtKw986QNR4jPEVNV 41200
0.99 0.06 931 SeErLUpvthRdJDpbeAyopXmdz5gjzjTGK3 1012819
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