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Monday, 26 January 2015

January 25th 2015 Block Maker Statistics



Changelog:
  • New hashrate distribution plots
    • Historical weekly percentage of network attributable to block makers.
    • Historical daily percentage of network attributable to block makers.

Errorlog:
  • Nil.

Notifications:
  • Nil.

0. Network plateau continues.
949 blocks solved this week, with a 95% confidence interval upper bound of 1011 blocks. If the upper bound was less than 1008, the network would have contracting with 95% confidence.

1. Unknown percentage of network is up.
 It might be that 12Taz8FFXQ3E2AGn3ZW1SZM5bLnYGX4xR6 and / or 1MFUheNfHBThbmkq6KZuockxXrAtDP4k4e are Bitfury addresses since they've been making fewer blocks since these two addresses showed up, but this could be a complete coincidence. If anyone knows who owns the unknown addresses on this weeks' list, please email me.
Solved block statistics table. This table lists all statistics that can be derived from the number of blocks a hashrate contributor has solved for the past week. Block attributions are either from primary sources such as those claimed by a particular pool website, or secondary sources such as coinbase signatures, or known generation addresses. When dependent on secondary sources only, data may be inaccurate and miss some blocks if a particular block-solver has gone to some trouble to hide solved blocks. This will result in an underestimate of the block-solver hashrate.

Note that actual pool hashrates when derived from shares submitted per unit time will be more accurate than the hashrate estimates given in this table.

"Unknown" is not an entity but the group of blocks to which I cannot give attribution using the methods given above. "BitAffNet" is Bitcoin Affiliate Network.

Although I update regularly, I don't correct old posts.


Reused but unknown generation addresses
Unknown generation addresses that are not reused are probably solominers or private mining concerns that don't have share-holders wanting to follow transactions. However, reused addresses are probably from hash contributors that do not wish to remain anonymous. These need to be identified so they can be removed from the "Unknown" group. I'm not interested in identifying those who wish to remain completely anonymous, so I'm not trying to trace originating IP addresses (as Blockchain.info does).


Blocks solved by unknown but re-used generation addresses Jan 18 2015 to Jan 24 2015
Unknown recurring generation address Blocks solved this week Percentage of network Percentage of unknown Estimate of hashrate Blocks solved ever
12Taz8FFXQ3E2AGn3ZW1SZM5bLnYGX4xR6 29 3.06 % 21.01 % 9056 Thps 35
1MFUheNfHBThbmkq6KZuockxXrAtDP4k4e 24 2.53 % 17.39 % 7494 Thps 24
1GaKSh2t396nfSg5Ku2J3Yn1vfVsXrGuH5 18 1.90 % 13.04 % 5621 Thps 68
1MoYfV4U61wqTPTHCyedzFmvf2o3uys2Ua 16 1.69 % 11.59 % 4996 Thps 50
1829SCzm1dYVvDsvUeLuMyAhuMwjPuYxw3 10 1.05 % 7.25 % 3123 Thps 10
17ejWXwuio19fehgx5GT7xEVUYiP5SjBL7 8 0.84 % 5.80 % 2498 Thps 8
1BwZeHJo7b7M2op7VDfYnsmcpXsUYEcVHm 8 0.84 % 5.80 % 2498 Thps 138
15B5LzRh2JnFnTrdSapCbzCkmnPjkhCDN2 4 0.42 % 2.90 % 1249 Thps 4
1ELwSbFZfHPNtymepA2HF8RXHCzZvLbeSi 4 0.42 % 2.90 % 1249 Thps 4
1Nva32z8rTPdEKzYoMqn6hMQcHecMUyLsA 4 0.42 % 2.90 % 1249 Thps 4
1D4sLQibhyCNYYghRFfuJpGq88f5PtqMid 3 0.32 % 2.17 % 937 Thps 3
1GcF7j3YH8Qs8hvNEe7zbrQZftMU6sRLfu 3 0.32 % 2.17 % 937 Thps 486
1H7Xw9eirfDy3yM4hFZYeYuiJq8ZhvQQkV 3 0.32 % 2.17 % 937 Thps 3
15PxUiabFpqBArHtgx3Bw38kB9nT1kW3Py 2 0.21 % 1.45 % 625 Thps 7
1qtKetXKgqa7j1KrB19HbvfRiNUncmakk 1 0.11 % 0.72 % 312 Thps 16



Hashrate distribution: Stacked histogram percentage of network blocks
A visual representation of the "Percentage of network" data aggregated in the table.







Hashrate distribution: Actual and cumulative percentage of network blocks
Another visualisation of the data in the table. The unshaded section indicates the largest block makers that control 50% of the network between them.



 



Hashrate distribution: Heatmap of historical percentage of network blocks attributable to block makers.
The data in the above hashrate distribution histogram is a subset of the weekly data data below.



Hashrate distribution:  Daily proportion of network for current block makers.
The next three plots group hashrate distribution into three tiers:  The block makers with the largest proportion of the network, block makers with an average proportion of the network, and block makers with the smallest proportion of the network.

Because the data is a daily summary, the kernel smoothing shows quite clearly the variance in hashrate distribution that occurs in block making. It will also show the intra-week hashrate movements which were previously unavailable.





Comparison of transaction fee per block
Block makers that consistently perform better than average are attempting to earn as much from each block as possible, which probably means more transactions per block and a better functioning network.

Block makers that consistently earn less than average transactions per block are either including too many low priority (no fee) transactions or are trying to reduce their orphan rate by reducing the size of their blocks.





In progress:
### Centralisation visualisation
###  total tx fee per kb size,  by pool






organofcorti.blogspot.com is a reader supported blog:

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Created using R and various packages, especially dplyrdata.tableggplot2 and forecast.

Recommended reading:

Thank you to blockchain.info and coinometrics.com for use of their transaction and address data, and coincadence.com for their p2pool miner data.

Find a typo or spelling error? Email me with the details at organofcorti@organofcorti.org and if you're the first to email me I'll pay you 0.01 btc per ten errors.

Please refer to the most recent blog post for current rates or rule changes.

I'm terrible at proofreading, so some of these posts may be worth quite a bit to the keen reader.
Exceptions:
  • Errors in text repeated across multiple posts: I will only pay for the most recent errors rather every single occurrence.
  • Errors in chart texts: Since I can't fix the chart texts (since I don't keep the data that generated them) I can't pay for them. Still, they would be nice to know about!
I write in British English.



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