Medians and means of intra-day merits over days of weeks.Colors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Monday, Thursday, and Wednesday at 688, 675, and 669, respectively; whislt the lowest days are Friday, Saturday, and Sunday at 596, 615, and 626, respectively. - In means, the highest days are Wednesday, Thursday, and Monday at 929, 856, and 816, respectively; whilst the lowest days are Saturday, Friday, and Sunday, at 695, 705, and 754, respectively. Calendar day is in GMT time.To take away all doubt: the first Merit was this one: 1516831941 1 2818066.msg28853325 35 877396 Use EpochConverter to convert 1516831941 (Unix Time) to GMT: Wednesday 24 January 2018 22:12:21. Summary for variables: merit
by categories of: dofw
dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
Sunday | 100.0 753.3 453.8 626.0 520.0 801.0 394.0 3190.0
Monday | 100.0 815.7 519.8 688.0 576.5 875.0 313.0 3854.0
Tuesday | 99.0 765.6 460.4 660.0 592.0 769.0 384.0 4193.0
Wednesday | 100.0 928.3 1353.5 668.5 566.5 790.0 394.0 13018.0
Thursday | 100.0 855.4 842.6 675.0 552.0 812.0 348.0 6762.0
Friday | 100.0 704.6 497.6 596.0 509.0 707.5 349.0 4500.0
Saturday | 100.0 694.8 402.2 614.5 497.0 723.5 295.0 3490.0
----------+--------------------------------------------------------------------------------
Total | 699.0 788.3 722.5 644.0 540.0 780.0 295.0 13018.0
-------------------------------------------------------------------------------------------
Outliers displayed as red circles. Outliers non-displayed. Details on ranks:In medians +--------------------------------------------------------------------------+
| rankmedian dofw median mean p25 p75 min max |
|--------------------------------------------------------------------------|
1. | 1 Monday 688 815.68 576.5 875 313 3854 |
2. | 2 Thursday 675 855.44 552 812 348 6762 |
3. | 3 Wednesday 668.5 928.32 566.5 790 394 13018 |
4. | 4 Tuesday 660 765.6263 592 769 384 4193 |
5. | 5 Sunday 626 753.32 520 801 394 3190 |
|--------------------------------------------------------------------------|
6. | 6 Saturday 614.5 694.84 497 723.5 295 3490 |
7. | 7 Friday 596 704.65 509 707.5 349 4500 |
+--------------------------------------------------------------------------+
In means +------------------------------------------------------------------------+
| rankmean dofw mean median p25 p75 min max |
|------------------------------------------------------------------------|
1. | 1 Wednesday 928.32 668.5 566.5 790 394 13018 |
2. | 2 Thursday 855.44 675 552 812 348 6762 |
3. | 3 Monday 815.68 688 576.5 875 313 3854 |
4. | 4 Tuesday 765.6263 660 592 769 384 4193 |
5. | 5 Sunday 753.32 626 520 801 394 3190 |
|------------------------------------------------------------------------|
6. | 6 Friday 704.65 596 509 707.5 349 4500 |
7. | 7 Saturday 694.84 614.5 497 723.5 295 3490 |
+------------------------------------------------------------------------+
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During the period from 24/1/2018 to 23/12/2019 (last two days dropped due to incomplete week), the minimum and maximum of intra-day merit are 295 and 13018, on 03/8/2019 and 24/1/2018, respectively. List of the top 50-highest day in terms of intra-day merits: +-------------------------------------------------------------------------------+
| merit id date dofw day month2 year week month |
|-------------------------------------------------------------------------------|
1. | 13018 1 24jan2018 Wednesday 24 1 2018 2018w4 2018m1 |
2. | 6762 2 25jan2018 Thursday 25 1 2018 2018w4 2018m1 |
3. | 5412 667 21nov2019 Thursday 21 11 2019 2019w47 2019m11 |
4. | 5275 666 20nov2019 Wednesday 20 11 2019 2019w47 2019m11 |
5. | 4500 3 26jan2018 Friday 26 1 2018 2018w4 2018m1 |
|-------------------------------------------------------------------------------|
6. | 4193 7 30jan2018 Tuesday 30 1 2018 2018w5 2018m1 |
7. | 3854 664 18nov2019 Monday 18 11 2019 2019w46 2019m11 |
8. | 3800 6 29jan2018 Monday 29 1 2018 2018w5 2018m1 |
9. | 3490 4 27jan2018 Saturday 27 1 2018 2018w4 2018m1 |
10. | 3190 5 28jan2018 Sunday 28 1 2018 2018w4 2018m1 |
|-------------------------------------------------------------------------------|
11. | 2821 8 31jan2018 Wednesday 31 1 2018 2018w5 2018m1 |
12. | 2753 663 17nov2019 Sunday 17 11 2019 2019w46 2019m11 |
13. | 2569 10 02feb2018 Friday 2 2 2018 2018w5 2018m2 |
14. | 2546 9 01feb2018 Thursday 1 2 2018 2018w5 2018m2 |
15. | 2514 22 14feb2018 Wednesday 14 2 2018 2018w7 2018m2 |
|-------------------------------------------------------------------------------|
16. | 2510 660 14nov2019 Thursday 14 11 2019 2019w46 2019m11 |
17. | 2464 236 16sep2018 Sunday 16 9 2018 2018w37 2018m9 |
18. | 2310 14 06feb2018 Tuesday 6 2 2018 2018w6 2018m2 |
19. | 2182 665 19nov2019 Tuesday 19 11 2019 2019w47 2019m11 |
20. | 2182 12 04feb2018 Sunday 4 2 2018 2018w5 2018m2 |
|-------------------------------------------------------------------------------|
21. | 2143 16 08feb2018 Thursday 8 2 2018 2018w6 2018m2 |
22. | 2142 15 07feb2018 Wednesday 7 2 2018 2018w6 2018m2 |
23. | 2078 13 05feb2018 Monday 5 2 2018 2018w6 2018m2 |
24. | 1992 23 15feb2018 Thursday 15 2 2018 2018w7 2018m2 |
25. | 1868 11 03feb2018 Saturday 3 2 2018 2018w5 2018m2 |
|-------------------------------------------------------------------------------|
26. | 1863 237 17sep2018 Monday 17 9 2018 2018w38 2018m9 |
27. | 1748 18 10feb2018 Saturday 10 2 2018 2018w6 2018m2 |
28. | 1706 38 02mar2018 Friday 2 3 2018 2018w9 2018m3 |
29. | 1660 668 22nov2019 Friday 22 11 2019 2019w47 2019m11 |
30. | 1618 25 17feb2018 Saturday 17 2 2018 2018w7 2018m2 |
|-------------------------------------------------------------------------------|
31. | 1580 21 13feb2018 Tuesday 13 2 2018 2018w7 2018m2 |
32. | 1542 661 15nov2019 Friday 15 11 2019 2019w46 2019m11 |
33. | 1476 659 13nov2019 Wednesday 13 11 2019 2019w46 2019m11 |
34. | 1466 677 01dec2019 Sunday 1 12 2019 2019w48 2019m12 |
35. | 1449 17 09feb2018 Friday 9 2 2018 2018w6 2018m2 |
|-------------------------------------------------------------------------------|
36. | 1443 19 11feb2018 Sunday 11 2 2018 2018w6 2018m2 |
37. | 1441 662 16nov2019 Saturday 16 11 2019 2019w46 2019m11 |
38. | 1416 24 16feb2018 Friday 16 2 2018 2018w7 2018m2 |
39. | 1410 32 24feb2018 Saturday 24 2 2018 2018w8 2018m2 |
40. | 1404 27 19feb2018 Monday 19 2 2018 2018w8 2018m2 |
|-------------------------------------------------------------------------------|
41. | 1392 34 26feb2018 Monday 26 2 2018 2018w9 2018m2 |
42. | 1355 48 12mar2018 Monday 12 3 2018 2018w11 2018m3 |
43. | 1335 37 01mar2018 Thursday 1 3 2018 2018w9 2018m3 |
44. | 1332 20 12feb2018 Monday 12 2 2018 2018w7 2018m2 |
45. | 1327 35 27feb2018 Tuesday 27 2 2018 2018w9 2018m2 |
|-------------------------------------------------------------------------------|
46. | 1324 56 20mar2018 Tuesday 20 3 2018 2018w12 2018m3 |
47. | 1295 238 18sep2018 Tuesday 18 9 2018 2018w38 2018m9 |
48. | 1293 26 18feb2018 Sunday 18 2 2018 2018w7 2018m2 |
49. | 1280 30 22feb2018 Thursday 22 2 2018 2018w8 2018m2 |
50. | 1271 239 19sep2018 Wednesday 19 9 2018 2018w38 2018m9 |
|-------------------------------------------------------------------------------|
List of the top 50-lowest days in terms of intra-day merits: +-------------------------------------------------------------------------------+
| merit id date dofw day month2 year week month |
|-------------------------------------------------------------------------------|
1. | 295 557 03aug2019 Saturday 3 8 2019 2019w31 2019m8 |
2. | 313 335 24dec2018 Monday 24 12 2018 2018w52 2018m12 |
3. | 317 333 22dec2018 Saturday 22 12 2018 2018w51 2018m12 |
4. | 328 564 10aug2019 Saturday 10 8 2019 2019w32 2019m8 |
5. | 344 340 29dec2018 Saturday 29 12 2018 2018w52 2018m12 |
|-------------------------------------------------------------------------------|
6. | 348 298 17nov2018 Saturday 17 11 2018 2018w46 2018m11 |
7. | 348 338 27dec2018 Thursday 27 12 2018 2018w52 2018m12 |
8. | 349 304 23nov2018 Friday 23 11 2018 2018w47 2018m11 |
9. | 368 566 12aug2019 Monday 12 8 2019 2019w32 2019m8 |
10. | 371 122 25may2018 Friday 25 5 2018 2018w21 2018m5 |
|-------------------------------------------------------------------------------|
11. | 377 191 02aug2018 Thursday 2 8 2018 2018w31 2018m8 |
12. | 377 342 31dec2018 Monday 31 12 2018 2018w52 2018m12 |
13. | 379 326 15dec2018 Saturday 15 12 2018 2018w50 2018m12 |
14. | 380 220 31aug2018 Friday 31 8 2018 2018w35 2018m8 |
15. | 382 599 14sep2019 Saturday 14 9 2019 2019w37 2019m9 |
|-------------------------------------------------------------------------------|
16. | 384 217 28aug2018 Tuesday 28 8 2018 2018w35 2018m8 |
17. | 386 214 25aug2018 Saturday 25 8 2018 2018w34 2018m8 |
18. | 387 339 28dec2018 Friday 28 12 2018 2018w52 2018m12 |
19. | 394 341 30dec2018 Sunday 30 12 2018 2018w52 2018m12 |
20. | 394 568 14aug2019 Wednesday 14 8 2019 2019w33 2019m8 |
|-------------------------------------------------------------------------------|
21. | 395 529 06jul2019 Saturday 6 7 2019 2019w27 2019m7 |
22. | 395 345 03jan2019 Thursday 3 1 2019 2019w1 2019m1 |
23. | 396 228 08sep2018 Saturday 8 9 2018 2018w36 2018m9 |
24. | 398 320 09dec2018 Sunday 9 12 2018 2018w49 2018m12 |
25. | 399 558 04aug2019 Sunday 4 8 2019 2019w31 2019m8 |
|-------------------------------------------------------------------------------|
26. | 400 262 12oct2018 Friday 12 10 2018 2018w41 2018m10 |
27. | 403 329 18dec2018 Tuesday 18 12 2018 2018w51 2018m12 |
28. | 406 287 06nov2018 Tuesday 6 11 2018 2018w45 2018m11 |
29. | 407 556 02aug2019 Friday 2 8 2019 2019w31 2019m8 |
30. | 411 565 11aug2019 Sunday 11 8 2019 2019w32 2019m8 |
|-------------------------------------------------------------------------------|
31. | 413 403 02mar2019 Saturday 2 3 2019 2019w9 2019m3 |
32. | 413 222 02sep2018 Sunday 2 9 2018 2018w35 2018m9 |
33. | 414 527 04jul2019 Thursday 4 7 2019 2019w27 2019m7 |
34. | 416 278 28oct2018 Sunday 28 10 2018 2018w43 2018m10 |
35. | 416 533 10jul2019 Wednesday 10 7 2019 2019w28 2019m7 |
|-------------------------------------------------------------------------------|
36. | 416 588 03sep2019 Tuesday 3 9 2019 2019w36 2019m9 |
37. | 417 109 12may2018 Saturday 12 5 2018 2018w19 2018m5 |
38. | 417 592 07sep2019 Saturday 7 9 2019 2019w36 2019m9 |
39. | 417 587 02sep2019 Monday 2 9 2019 2019w35 2019m9 |
40. | 419 186 28jul2018 Saturday 28 7 2018 2018w30 2018m7 |
|-------------------------------------------------------------------------------|
41. | 421 187 29jul2018 Sunday 29 7 2018 2018w30 2018m7 |
42. | 422 192 03aug2018 Friday 3 8 2018 2018w31 2018m8 |
43. | 425 276 26oct2018 Friday 26 10 2018 2018w43 2018m10 |
44. | 427 140 12jun2018 Tuesday 12 6 2018 2018w24 2018m6 |
45. | 427 277 27oct2018 Saturday 27 10 2018 2018w43 2018m10 |
|-------------------------------------------------------------------------------|
46. | 429 313 02dec2018 Sunday 2 12 2018 2018w48 2018m12 |
47. | 429 418 17mar2019 Sunday 17 3 2019 2019w11 2019m3 |
48. | 431 284 03nov2018 Saturday 3 11 2018 2018w44 2018m11 |
49. | 431 264 14oct2018 Sunday 14 10 2018 2018w41 2018m10 |
50. | 433 221 01sep2018 Saturday 1 9 2018 2018w35 2018m9 |
|-------------------------------------------------------------------------------|
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Time-series plots:Full dataset:Truncated dataset:
Basic statistics (for full dataset): Only drop last two days that belong to the 2019w51, incomplete week. variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 699 788.3004 722.4836 644 540 780 295 13018
----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 180 or 1140. . di 780-540
240
. di 240*1.5
360
. di 780+360
1140
. di 540-360
180
There are 63 outliers (beyond 1140 or 180) in full dataset, in total. . count if (merit >= 1140 | merit <= 180) & merit != .
63
Those days are: +-------------------------+
| id merit date |
|-------------------------|
1. | 1 13018 24jan2018 |
2. | 2 6762 25jan2018 |
3. | 3 4500 26jan2018 |
4. | 4 3490 27jan2018 |
5. | 5 3190 28jan2018 |
6. | 6 3800 29jan2018 |
7. | 7 4193 30jan2018 |
8. | 8 2821 31jan2018 |
9. | 9 2546 01feb2018 |
10. | 10 2569 02feb2018 |
11. | 11 1868 03feb2018 |
12. | 12 2182 04feb2018 |
13. | 13 2078 05feb2018 |
14. | 14 2310 06feb2018 |
15. | 15 2142 07feb2018 |
16. | 16 2143 08feb2018 |
17. | 17 1449 09feb2018 |
18. | 18 1748 10feb2018 |
19. | 19 1443 11feb2018 |
20. | 20 1332 12feb2018 |
21. | 21 1580 13feb2018 |
22. | 22 2514 14feb2018 |
23. | 23 1992 15feb2018 |
24. | 24 1416 16feb2018 |
25. | 25 1618 17feb2018 |
26. | 26 1293 18feb2018 |
27. | 27 1404 19feb2018 |
28. | 28 1170 20feb2018 |
29. | 29 1268 21feb2018 |
30. | 30 1280 22feb2018 |
32. | 32 1410 24feb2018 |
33. | 33 1187 25feb2018 |
34. | 34 1392 26feb2018 |
35. | 35 1327 27feb2018 |
37. | 37 1335 01mar2018 |
38. | 38 1706 02mar2018 |
41. | 41 1246 05mar2018 |
48. | 48 1355 12mar2018 |
50. | 50 1160 14mar2018 |
56. | 56 1324 20mar2018 |
57. | 57 1229 21mar2018 |
68. | 68 1258 01apr2018 |
69. | 69 1147 02apr2018 |
236. | 236 2464 16sep2018 |
237. | 237 1863 17sep2018 |
238. | 238 1295 18sep2018 |
239. | 239 1271 19sep2018 |
|-------------------------|
351. | 351 1162 09jan2019 |
428. | 428 1250 27mar2019 |
475. | 475 1151 13may2019 |
504. | 504 1188 11jun2019 |
659. | 659 1476 13nov2019 |
660. | 660 2510 14nov2019 |
661. | 661 1542 15nov2019 |
662. | 662 1441 16nov2019 |
663. | 663 2753 17nov2019 |
664. | 664 3854 18nov2019 |
665. | 665 2182 19nov2019 |
666. | 666 5275 20nov2019 |
667. | 667 5412 21nov2019 |
668. | 668 1660 22nov2019 |
669. | 669 1153 23nov2019 |
677. | 677 1466 01dec2019 |
+-------------------------+
Only 16 of them occured in 2019. See details in the list of outliers above.
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It depends on your definition of "full" and from my point of view a full node is something which stores the entire Blockchain including all past UTXOs as well as the complete database including mempool and past blocks.
I could be wrong but I totally agree with you on this. SPV wallets, ie. do not store the full blockchain, instead they only store block headers (not the block transactions). Consequently, as you said, they don't have fully details on UTXOs, and there are risks of double spend with SPV wallets. To overcome such attacks, they have to connect to the other nodes, and should be honest nodes on the network in order to avoid terrible connections to fake nodes or wrong blockchains, not real blockchain of bitcoin. In the other words, nodes are called as Full nodes (from my understandings) if they store the full blockchain, and therefore they have complete history of blockchain transactions (includes all UTXOs, as you said). Prune nodes, despite of the fact that they download and sync with all blockchain database, but such nodes automatically truncate their database over time. The level of database truncation on prune nodes depends on the N parameter setup by users. The smaller N parameter, the more severity of database truncation. Maybe someone will argue that prune node actually download the full blockchain, but the thing is download, sync, and store the full blockchain is very different. Full nodes always store the full blockchain at the last time point it synchronises with the network, whilst prune node always store the small part of the blockchain. |
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Transaction fee: -0.00054440 BTC
< ... >
Transaction total size: 2722 bytes
The fee is good, at 20 satoshis/ byte. Your transactions should be confirmed already. That is high enough to get confirmations fastly, according to 1, 2[1]: https://whatthefee.io/[2]: https://coinb.in/#feesIn addition, I saw that mempool looks good now, so if you move your coins correctly (correct bitcoin address), I guess it will be confirmed very soon from now. However, I think what nc50lc pointed out is right. Your transaction has not yet been broadcasted.
For your privacy, If you care about privacy, and that one (the image in that post) comes from your same wallet, I believe you should blur or hide those addresses. I did not quote that image, just in case you decide to delete it. |
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It's not. That's the blocks dir (blocks only), you're forgetting the chainstate (which you need for a prune node too). It sits slightly over 3.5 GB for me on a full node now, thus you'd need at least 5 GB (3.5 GB chainstate + 2 GB blocks) of total storage for the pruned one.
Thank you. To sum up, to run a prune node with minimum storage value (2GB), one need to have at least 3.5 GB - for chainstate + 2GB - for blocks + 52.1 MB for initial setup (image below).
1) a pruned node downloads the entire blockchain but only stores a small portion of it (from the end).
a pruned node Can also relay new transactions and new blocks and the old blocks that it has to other nodes (routing?)
a pruned node can also be used as the backend for mining and can be used as a wallet.
2) this is the only difference.
3) a pruned node can also do it by verifying the entire blockchain and the new blocks and transactions while rejecting anything invalid and relaying valid ones to other nodes.
4) you have the chainstate and can always use bloom filters to get your history so i don't think you technically need to resync from scratch if you imported a new wallet. although i have never done it with bitcoin core to see what happens.
Despite of there are some overlayed functionality between full node and prune node, they are different. A full node means it has four functionalities at the same time: routing, complete blockchain database, mining, and wallet services. Importantly, without the complete blockchain database, a prune node will never become a full node. But when someone set up the n parameter for prune node to the one of full node, it turns to be a full node, and no longer be a prune node. Unfortunately, it will become a full node shortly because when time goes longer, that n parameter will become less than the complete blockchain-size, and that node will be degraded to a prune node, again. Prune node can be a mining node, I agree because a mining node theoritically comes from a full node (stores the complete blockchain) or a lightweight node (does not mandatorily store blockchain database, it depends on a pool server). |
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Prune node
Pros:
Required only 2 GB by default.
This is wrong though. With the chainstate I believe the minimum is between 5 to 10 GB, but you should verify if you want exact numbers. That's it. They are required storage space for today: 284 GB for a full node, and 2 GB for a prune node. 2GB is the default value of storage space (for now), when you run a prune node. As you see, when I want to modify and expand the storage space of my prune node, the default value shows 2GB. I guess 2GB is the minimum value for a prune node. |
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"Routing Node"? What is this? Bitcoin nodes are not Onion Nodes; that is a term I haven't seen someone us to describe nodes.
That is what I got from Mastering Bitcoin - chapter 6 (A. Antonopoulos) All nodes include the routing function to participate in the network and might include other functionality. All nodes validate and propagate transactions and blocks, and discover and maintain connections to peers. In the full-node example in Figure 6-1, the routing function is indicated by an orange circle named “Network Routing Node.”
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There are two types of bitcoin nodes: Full nodes and Prune nodes. - What are Full nodes & Prune nodes?
- Which types of Pros and Cons of each node type?
- Which node type you should use?
- Which technical parameters you should know to make your decisions?
Now, let's get started with Full node Full node- Fully have four functions of bitcoin nodes: routing, blockchain database, mining, and wallet services [1]
- Stores the whole blockchain database so it requires significant large storage space (up to 284 GB * as of writing).
- Help to secure network with your full node.
- You don't have to resync your wallet when import any other wallet.dat files if you has already synced your wallet with the network (with your initial wallet.dat file). Because when you client fully synced with network, you already have a full copy of the bitcoin blockchain.
284 GB *- This figure requires by Bitcoin client when you install it today.
- The real blockchain size for today is 255522 MB, according to [3]
Prune nodePros:- Required about 5 GB by default (a little it more than 5 GB). [a]
- You don't have store all blockchain database on your computer
- You can run a prune node to get experience and pratice with Bitcoin core without significant pressure on your computer storage space.
[a]: In reality, you will prepare at least a little more than 5GB for your prune node with a minimum storage value for blocks (at 2 GB). They are included by: - Chainstate: 3.5 GB
- Blocks: 2 GB
- Initial setup: 52.1 MB (see the below image)
Fortunately, you can set up storage space for your prune node, up to 99 GB (tested by minefarmbuy: https://bitcointalk.org/index.php?topic=5046359.msg46959793#msg46959793) How to set up storage space? 1. Bitcoin.confSet up prune=X in your bitcoin.conf file. Remember that X is the storage amount in MB, so if you want your prune node stores up to last 99 GB of the network, you have to type : prune=99000. 2. Wallet optionsYou can more easily do it with Options > Main > Prune block storage to 99 GB. Then you will see the red-message: "Client restart required to activate changes." Cons:- You don't have a full blockchain database on your computer.
- You have to resync your wallet with blockchain if you import a wallet.dat file that contains data synchronised outside the data stored in your prune node. This is very annoying, IMO.
Blockchain size over quarters (2010q3 to 2019q4) [2]Details: +-------------------+
| quarter bs_gb |
|-------------------|
1. | 2010q3 .001 |
2. | 2010q4 .01 |
3. | 2011q1 .015 |
4. | 2011q2 .188 |
5. | 2011q3 .449 |
|-------------------|
6. | 2011q4 .631 |
7. | 2012q1 .876 |
8. | 2012q2 1.672 |
9. | 2012q3 2.897 |
10. | 2012q4 4.255 |
|-------------------|
11. | 2013q1 6.406 |
12. | 2013q2 8.713 |
13. | 2013q3 10.727 |
14. | 2013q4 13.468 |
15. | 2014q1 16.567 |
|-------------------|
16. | 2014q2 19.861 |
17. | 2014q3 23.45 |
18. | 2014q4 27.805 |
19. | 2015q1 32.706 |
20. | 2015q2 38.122 |
|-------------------|
21. | 2015q3 45.418 |
22. | 2015q4 53.647 |
23. | 2016q1 63.427 |
24. | 2016q2 73.973 |
25. | 2016q3 84.455 |
|-------------------|
26. | 2016q4 96.236 |
27. | 2017q1 108.975 |
28. | 2017q2 122.299 |
29. | 2017q3 134.716 |
30. | 2017q4 149.114 |
|-------------------|
31. | 2018q1 162.686 |
32. | 2018q2 173.171 |
33. | 2018q3 184.622 |
34. | 2018q4 197.224 |
35. | 2019q1 210.557 |
|-------------------|
36. | 2019q2 226.596 |
37. | 2019q3 242.386 |
38. | 2019q4 284 |
+-------------------+
- Using Full node if you want to use Bitcoin Core wallet; and you have to prepare enough additional free storage for likely increases of data base next one or two years (about 50 GB annually - maybe more than 50 GB because it also depends upon how much data comes from Segwit). See the chart above.
- Avoiding Prune node if you can buy a hard-disk up to 500 GB or 1 TB.
- If you actually want to run a prune node, the best option for you is set up the storage space to 99 GB *. That amount of 99 GB is enough for you to retrieve data up to nearly the last two years. Generally, the network increases about 50 GB annually since 2015q4. You can make estimation of blockchain size next one or two years based on the average blockchain size [4], but I don't think you should make things complicated like that.
- If you can not buy a good harddisk to run Bitcoin Core Full node, that requires less than 300 GB for now, let's turn to choose the other wallets. I recommend the Electrum wallet (Simplified Payment Verification - SPV). SPV wallets are light and don't require too much free storage space to run them on your computer.
- Running Electrum wallet with Electrum personal server and connect it to your full node. See the guide
99 GB *: Where I get that figure? From:
Sources:[1]: Mastering Bitcoin (Andrea Antonopoulos) [2]: https://www.statista.com/statistics/647523/worldwide-bitcoin-blockchain-size/[3]: https://www.blockchain.com/charts/blocks-size[4]: https://www.blockchain.com/charts/avg-block-sizehttps://bitzuma.com/posts/moving-the-bitcoin-core-data-directory/https://bitcoin.org/en/full-node#what-is-a-full-nodeBitcoin Q&A: What is the role of nodes? (Andrea Antonopoulos)https://medium.com/coinmonks/the-bitcoin-network-6713cb8713d |
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Update 2019w51Data source: http://loyce.club/Merit/tranthidung/meritperdayandweek.2019-12-28_Sat_08.28h.txtConverted dataset for the last week: +-------------------------------------------------------------------------------+
| id merit date day month2 year week month dofw |
|-------------------------------------------------------------------------------|
688. | 688 577 12dec2019 12 12 2019 2019w50 2019m12 Thursday |
689. | 689 467 13dec2019 13 12 2019 2019w50 2019m12 Friday |
690. | 690 1013 14dec2019 14 12 2019 2019w50 2019m12 Saturday |
691. | 691 866 15dec2019 15 12 2019 2019w50 2019m12 Sunday |
692. | 692 938 16dec2019 16 12 2019 2019w50 2019m12 Monday |
|-------------------------------------------------------------------------------|
693. | 693 920 17dec2019 17 12 2019 2019w51 2019m12 Tuesday |
694. | 694 836 18dec2019 18 12 2019 2019w51 2019m12 Wednesday |
695. | 695 1020 19dec2019 19 12 2019 2019w51 2019m12 Thursday |
696. | 696 692 20dec2019 20 12 2019 2019w51 2019m12 Friday |
697. | 697 723 21dec2019 21 12 2019 2019w51 2019m12 Saturday |
|-------------------------------------------------------------------------------|
698. | 698 897 22dec2019 22 12 2019 2019w51 2019m12 Sunday |
699. | 699 1106 23dec2019 23 12 2019 2019w51 2019m12 Monday |
700. | 700 787 24dec2019 24 12 2019 2019w52 2019m12 Tuesday |
701. | 701 797 25dec2019 25 12 2019 2019w52 2019m12 Wednesday |
+-------------------------------------------------------------------------------+
For data:
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Let's see how the ranks of the top 100 merited-users changed over the observed period (16 weeks - 36 to 51 - for idrankchange and 29 weeks - 23 to 51 - for rankmedian). Notes: - idrankchange: id of users according to descending rankchange
- rankchange: number of rank change between 2019w36 and 2019w51 (16 weeks)
- rankid2019w36: rank (according to total earned merits) in the week 2019w36
- rankid2019w51: rank (according to total earned merits) in the week 2019w51
- rankmedian: rank (according to median of weekly earned merits from 2019w23 to 2019w51)
The list of top rank-changed users +---------------------------------------------------------------------+
| rankchange rankid2019w51 rankid2019w36 username |
|---------------------------------------------------------------------|
1. | 34 54 88 yahoo62278 |
2. | 34 62 96 tranthidung |
3. | 31 31 62 Veleor |
4. | 29 46 75 DireWolfM14 |
5. | 23 60 83 witcher_sense |
|---------------------------------------------------------------------|
6. | 21 29 50 VB1001 |
7. | 19 12 31 fillippone |
8. | 17 74 91 tvplus006 |
9. | 15 85 100 mjglqw |
10. | 15 55 70 yogg |
|---------------------------------------------------------------------|
11. | 15 61 76 lovesmayfamilis |
12. | 14 42 56 Carlton Banks |
13. | 14 43 57 pooya87 |
14. | 12 14 26 mikeywith |
15. | 12 81 93 wwzsocki |
|---------------------------------------------------------------------|
16. | 11 22 33 Steamtyme |
17. | 10 87 97 TheFuzzStone |
18. | 10 57 67 Coolcryptovator |
19. | 9 25 34 LFC_Bitcoin |
20. | 9 36 45 TryNinja |
|---------------------------------------------------------------------|
21. | 9 72 81 Goran_ |
22. | 7 66 73 CryptopreneurBrainboss |
23. | 5 89 94 stompix |
24. | 5 35 40 JayJuanGee |
25. | 4 56 60 jojo69 |
|---------------------------------------------------------------------|
26. | 3 21 24 Hhampuz |
27. | 3 82 85 mole0815 |
28. | 2 16 18 xhomerx10 |
29. | 2 63 65 Xal0lex |
30. | 2 17 19 nutildah |
|---------------------------------------------------------------------|
31. | 2 76 78 mocacino |
32. | 2 70 72 Coding Enthusiast |
33. | 2 96 98 chimk |
34. | 1 24 25 iasenko |
35. | 1 8 9 Last of the V8s |
|---------------------------------------------------------------------|
36. | 1 41 42 roycilik |
37. | 1 11 12 gmaxwell |
38. | 0 7 7 The Pharmacist |
39. | 0 80 80 asche |
40. | 0 52 52 taikuri13 |
|---------------------------------------------------------------------|
41. | 0 3 3 suchmoon |
42. | 0 4 4 DdmrDdmr |
43. | 0 53 53 morvillz7z |
44. | 0 38 38 bitmover |
45. | 0 1 1 theymos |
|---------------------------------------------------------------------|
46. | 0 77 77 actmyame |
47. | 0 10 10 achow101 |
48. | 0 5 5 o_e_l_e_o |
49. | 0 6 6 micgoossens |
50. | 0 2 2 LoyceV |
|---------------------------------------------------------------------|
51. | -1 100 99 Coin-1 |
52. | -1 9 8 satoshi |
53. | -1 59 58 Husna QA |
54. | -1 18 17 HCP |
55. | -2 15 13 1miau |
|---------------------------------------------------------------------|
56. | -2 73 71 infofront |
57. | -2 48 46 gentlemand |
58. | -2 13 11 hilariousetc |
59. | -2 23 21 xtraelv |
60. | -3 51 48 mu_enrico |
|---------------------------------------------------------------------|
61. | -3 47 44 DarkStar_ |
62. | -3 90 87 Lafu |
63. | -3 26 23 krogothmanhattan |
64. | -4 39 35 TMAN |
65. | -4 45 41 BobLawblaw |
|---------------------------------------------------------------------|
66. | -4 99 95 Artemis3 |
67. | -4 34 30 Lauda |
68. | -4 58 54 philipma1957 |
69. | -5 94 89 hilariousandco |
70. | -5 32 27 qwk |
|---------------------------------------------------------------------|
71. | -5 33 28 marlboroza |
72. | -5 37 32 joniboni |
73. | -5 91 86 LeGaulois |
74. | -5 19 14 abhiseshakana |
75. | -5 20 15 HairyMaclairy |
|---------------------------------------------------------------------|
76. | -6 69 63 pandukelana2712 |
77. | -6 98 92 HeRetiK |
78. | -7 44 37 ETFbitcoin |
79. | -7 97 90 Pmalek |
80. | -7 27 20 bob123 |
|---------------------------------------------------------------------|
81. | -8 30 22 Jet Cash |
82. | -9 68 59 minerjones |
83. | -11 93 82 Flying Hellfish |
84. | -11 95 84 bones261 |
85. | -11 40 29 Piggy |
|---------------------------------------------------------------------|
86. | -11 50 39 BitCryptex |
87. | -12 78 66 PHI16168 |
88. | -12 28 16 Vod |
89. | -13 49 36 coinlocket$ |
90. | -13 92 79 OgNasty |
|---------------------------------------------------------------------|
91. | -14 83 69 TheNewAnon135246 |
92. | -14 88 74 Quickseller |
93. | -15 64 49 theyoungmillionaire |
94. | -18 86 68 nullius |
95. | -18 65 47 SaltySpitoon |
|---------------------------------------------------------------------|
96. | -18 79 61 kenzawak |
97. | -20 75 55 ICOEthics |
98. | -20 71 51 Alex_Sr |
99. | -20 84 64 Lutpin |
100. | -24 67 43 Toxic2040 |
+---------------------------------------------------------------------
|
|
|
|
Update (2019w51):ABSTRACT- Observed weeks: 29
- Median (interquartile range) of weekly earned merits for all 100 top merited profiles is 8 (2 - 18). It means they usually earn around 1 merit per day.
- Median (interquartile range) of weekly earned merits for the group of 1-25 is 13 (4 - 28), that is significantly higher than the figures of last 3 groups: 26-50 ( 8 ), 51-75 (7), and 76-100 (7).
- Min - max: 0 and 501, respectively.
- Period: 2019w23 - 2019w51
- Weekly earned merits: are not exactly weekly in Calendar day; and come from theymos' merit data dumps and LoyceV's data update. See
- All users in the top 100: 8 merits per week, with interquartile range is 2 to 18. It means if someone can manage to earn more than 8 merits per week, over continuous months, they might move to the top months later.
- The top 1-25: 13 merits per week, that is nearly 63-percent higher than the the second group (top 26-50) at 8. The rest two groups (top 51-75, and top 76-100) have same median at 7. (see details below)
- In median, top 26-100 merited users earn a more than 1 merit per day
Data for last week (2019w51) Source: https://bitcointalk.org/index.php?topic=5115154.msg53461208#msg53461208 +------------------------------------------------------+
| userid username m51 m50 c51 |
|------------------------------------------------------|
1. | 3 satoshi 2146 2145 1 |
2. | 35 theymos 6380 6378 2 |
3. | 11425 gmaxwell 1932 1898 34 |
4. | 18321 OgNasty 750 747 3 |
5. | 24140 qwk 1261 1235 26 |
|------------------------------------------------------|
6. | 30747 Vod 1351 1344 7 |
7. | 38894 SaltySpitoon 1001 1001 0 |
8. | 41175 infofront 907 906 1 |
9. | 49008 jojo69 1055 1050 5 |
10. | 64205 Carlton Banks 1149 1144 5 |
|------------------------------------------------------|
11. | 64507 philipma1957 1042 1029 13 |
12. | 79608 Flying Hellfish 711 710 1 |
13. | 98986 TMAN 1167 1162 5 |
14. | 99837 HeRetiK 693 693 0 |
15. | 101872 Lauda 1233 1232 1 |
|------------------------------------------------------|
16. | 112493 Pmalek 696 691 5 |
17. | 120694 xhomerx10 1578 1555 23 |
18. | 131333 wwzsocki 828 826 2 |
19. | 140827 yogg 1084 1080 4 |
20. | 153656 TheNewAnon135246 821 819 2 |
|------------------------------------------------------|
21. | 155345 gentlemand 1126 1101 25 |
22. | 164749 stompix 768 737 31 |
23. | 164822 hilariousandco 708 702 6 |
24. | 181806 HairyMaclairy 1471 1458 13 |
25. | 188198 Piggy 1157 1157 0 |
|------------------------------------------------------|
26. | 234771 suchmoon 3443 3429 14 |
27. | 239406 Toxic2040 985 985 0 |
28. | 252510 JayJuanGee 1231 1209 22 |
29. | 290195 achow101 1963 1960 3 |
30. | 317618 nutildah 1548 1519 29 |
|------------------------------------------------------|
31. | 346731 minerjones 966 966 0 |
32. | 355846 yahoo62278 1088 1052 36 |
33. | 358020 Quickseller 774 771 3 |
34. | 359716 ETFbitcoin 1137 1133 4 |
35. | 379147 pooya87 1147 1120 27 |
|------------------------------------------------------|
36. | 379487 LFC_Bitcoin 1382 1358 24 |
37. | 397737 hilariousetc 1750 1750 0 |
38. | 405464 mocacino 869 864 5 |
39. | 452769 bones261 706 706 0 |
40. | 459836 LoyceV 4446 4396 50 |
|------------------------------------------------------|
41. | 465017 actmyame 862 862 0 |
42. | 479624 Last of the V8s 2186 2140 46 |
43. | 487418 The Pharmacist 2230 2222 8 |
44. | 507856 LeGaulois 751 746 5 |
45. | 507936 DarkStar_ 1126 1090 36 |
|------------------------------------------------------|
46. | 520313 Lutpin 819 819 0 |
47. | 557798 TryNinja 1206 1198 8 |
48. | 569455 BobLawblaw 1136 1134 2 |
49. | 579628 bob123 1351 1330 21 |
50. | 679341 TheFuzzStone 779 762 17 |
|------------------------------------------------------|
51. | 698159 Jet Cash 1308 1306 2 |
52. | 787736 marlboroza 1236 1226 10 |
53. | 805820 Lafu 765 754 11 |
54. | 867786 HCP 1519 1503 16 |
55. | 879277 Coding Enthusiast 957 952 5 |
|------------------------------------------------------|
56. | 881377 Hhampuz 1451 1292 159 |
57. | 886521 mjglqw 791 784 7 |
58. | 897509 xtraelv 1438 1431 7 |
59. | 976210 nullius 783 783 0 |
60. | 980501 Artemis3 687 678 9 |
|------------------------------------------------------|
61. | 1000199 krogothmanhattan 1370 1359 11 |
62. | 1039323 Goran_ 922 884 38 |
63. | 1051955 roycilik 1153 1130 23 |
64. | 1052091 CryptopreneurBrainboss 1000 971 29 |
65. | 1067333 micgoossens 2958 2934 24 |
|------------------------------------------------------|
66. | 1068464 Xal0lex 1013 1011 2 |
67. | 1071136 PHI16168 858 855 3 |
68. | 1082600 kenzawak 841 841 0 |
69. | 1112531 Steamtyme 1439 1406 33 |
70. | 1133335 Coin-1 670 660 10 |
|------------------------------------------------------|
71. | 1138727 VB1001 1327 1284 43 |
72. | 1169179 BitCryptex 1117 1108 9 |
73. | 1177936 Veleor 1291 1274 17 |
74. | 1180530 theyoungmillionaire 1011 1011 0 |
75. | 1188543 o_e_l_e_o 3055 3014 41 |
|------------------------------------------------------|
76. | 1202061 chimk 703 703 0 |
77. | 1275282 joniboni 1183 1177 6 |
78. | 1291828 iasenko 1402 1381 21 |
79. | 1292764 tranthidung 1019 973 46 |
80. | 1304130 pandukelana2712 965 948 17 |
|------------------------------------------------------|
81. | 1311641 tvplus006 885 858 27 |
82. | 1339716 coinlocket$ 1125 1123 2 |
83. | 1424178 mole0815 826 823 3 |
84. | 1433865 witcher_sense 1036 1019 17 |
85. | 1554927 bitmover 1173 1169 4 |
|------------------------------------------------------|
86. | 1574226 mu_enrico 1100 1086 14 |
87. | 1580039 asche 835 831 4 |
88. | 1582324 DdmrDdmr 3057 2999 58 |
89. | 1762404 Alex_Sr 927 925 2 |
90. | 1825672 morvillz7z 1088 1047 41 |
|------------------------------------------------------|
91. | 1827294 Husna QA 1041 1035 6 |
92. | 1852120 fillippone 1872 1847 25 |
93. | 1855828 taikuri13 1094 1071 23 |
94. | 1878246 abhiseshakana 1480 1467 13 |
95. | 1980983 Coolcryptovator 1042 1033 9 |
|------------------------------------------------------|
96. | 1982152 lovesmayfamilis 1028 1023 5 |
97. | 2003859 DireWolfM14 1135 1098 37 |
98. | 2033515 mikeywith 1748 1712 36 |
99. | 2143453 1miau 1670 1653 17 |
100. | 2204241 ICOEthics 880 880 0 |
+------------------------------------------------------+
- For all 100 users: - Mean +/- standard deviation: 13.4 +/- 18.6
- Median (interquartile range): 8 (2 - 18)
Details: variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
meritchange | 2800 13.39643 18.63747 8 2 18 0 501
----------------------------------------------------------------------------------------------
Summary for variables: meritchange
by categories of: group
group | N mean sd p50 p25 p75 min max
-------+--------------------------------------------------------------------------------
1-25 | 700 20.22571 27.96361 13 4 28 0 501
26-50 | 700 12.92429 15.45759 8 2 19 0 129
51-75 | 700 10.07429 12.35874 7 1 14 0 107
76-100 | 700 10.36143 12.25023 7 2 14 0 112
-------+--------------------------------------------------------------------------------
Total | 2800 13.39643 18.63747 8 2 18 0 501
----------------------------------------------------------------------------------------
(see details in below table). In median(interquartile range): the top 5 (just for last 28 weeks) are: - LoyceV: 51 (27 - 63
- fillippone: 45 (33 - 64)
- o_e_l_e_o: 42 (22 - 53)
- suchmoon: 36 (21 - 45)
- nutildah: 29 (18 - 41)
- DdmrDdmr: 28 (18 - 35)
- mikeywith: 28 (2 - 34)
- micgoossens: 27 (24 - 40)
List of top users in median of weekly earned meritsSorting them out descendingly by median of weekly earned merits (p50 - median) and list only the top 30. For the rest, please see the raw results below. +------------------------------------------------------------------------+
| rankmedian username median p25 p75 min max |
|------------------------------------------------------------------------|
1. | 1 LoyceV 51 26.5 62.5 16 145 |
2. | 2 fillippone 44.5 32.5 63.5 23 113 |
3. | 3 o_e_l_e_o 42 21.5 52.5 12 82 |
4. | 4 suchmoon 35.5 20.5 44.5 10 87 |
5. | 5 nutildah 28.5 18 41 2 66 |
|------------------------------------------------------------------------|
6. | 6 DdmrDdmr 28 18 35 5 67 |
7. | 7 mikeywith 28 21.5 34 8 118 |
8. | 8 micgoossens 26.5 23.5 39.5 16 65 |
9. | 9 VB1001 24.5 16 34.5 0 88 |
10. | 10 theymos 23.5 12.5 53 1 501 |
|------------------------------------------------------------------------|
11. | 11 LFC_Bitcoin 21.5 15.5 27 10 48 |
12. | 12 witcher_sense 20.5 15 30.5 3 61 |
13. | 13 1miau 20.5 11.5 32.5 4 100 |
14. | 14 lovesmayfamilis 20 7 30 0 49 |
15. | 15 Veleor 18 11 24 2 81 |
|------------------------------------------------------------------------|
16. | 16 bob123 17.5 1.5 31 0 56 |
17. | 17 Last of the V8s 17.5 3 30.5 0 46 |
18. | 18 pooya87 16.5 11 21 6 30 |
19. | 19 achow101 15 7.5 28 1 60 |
20. | 20 tranthidung 15 10.5 35.5 1 104 |
|------------------------------------------------------------------------|
21. | 21 morvillz7z 14.5 7 21 0 41 |
22. | 22 CryptopreneurBrainboss 13.5 10 18 2 79 |
23. | 23 JayJuanGee 13.5 9.5 20.5 3 57 |
24. | 24 DireWolfM14 13.5 6 25 0 107 |
25. | 25 gentlemand 13.5 8.5 23 2 31 |
|------------------------------------------------------------------------|
26. | 26 TryNinja 13.5 9.5 19 0 33 |
27. | 27 Carlton Banks 13.5 9.5 22 1 60 |
28. | 28 bitmover 13.5 8 20.5 4 68 |
29. | 29 iasenko 12.5 3 20.5 0 40 |
30. | 30 taikuri13 12 8 20.5 5 35 |
+------------------------------------------------------------------------+
Summary for variables: meritchange
by categories of: username (username)
username | N mean sd p50 p25 p75 min max
-----------------+--------------------------------------------------------------------------------
1miau | 28 24.42857 19.81662 20.5 11.5 32.5 4 100
Alex_Sr | 28 4.178571 5.263808 2 0 7 0 18
Artemis3 | 28 6.142857 5.687636 4.5 2 9 0 21
BitCryptex | 28 12.92857 9.451351 11 4 20 0 30
BobLawblaw | 28 7.357143 6.810745 5.5 2.5 10 0 27
Carlton Banks | 28 16.71429 11.80978 13.5 9.5 22 1 60
Coding Enthusias | 28 11.82143 10.60766 10 4.5 15.5 0 45
Coin-1 | 28 6.571429 5.174214 5 3 8 0 23
Coolcryptovator | 28 11.35714 8.920282 10.5 4 17 0 36
CryptopreneurBra | 28 17.32143 16.60891 13.5 10 18 2 79
DarkStar_ | 28 11.03571 10.68568 7.5 4 14 2 45
DdmrDdmr | 28 29.42857 15.89649 28 18 35 5 67
DireWolfM14 | 28 19.5 22.19025 13.5 6 25 0 107
ETFbitcoin | 28 12.10714 9.696656 9.5 6.5 14.5 1 47
Flying Hellfish | 28 3.714286 7.407989 .5 0 4 0 26
Goran_ | 28 11.71429 8.575837 9.5 6.5 15.5 0 38
HCP | 28 14.53571 12.32427 11.5 6 19.5 1 51
HairyMaclairy | 28 11.71429 9.111885 10.5 4 16 0 42
HeRetiK | 28 4.964286 7.16722 3 1.5 5 0 35
Hhampuz | 28 11.85714 29.90072 3.5 1 10 0 159
Husna QA | 28 9.107143 11.19636 5 4 8.5 0 49
ICOEthics | 28 1 2 0 0 1 0 8
JayJuanGee | 28 15.85714 10.83791 13.5 9.5 20.5 3 57
Jet Cash | 28 5.357143 4.227023 4 1.5 9 0 16
LFC_Bitcoin | 28 22.32143 8.576685 21.5 15.5 27 10 48
Lafu | 28 7.178571 5.925798 6 2.5 10.5 0 21
Last of the V8s | 28 17.60714 14.81826 17.5 3 30.5 0 46
Lauda | 28 5.857143 6.047432 4.5 1 9 0 21
LeGaulois | 28 4.785714 4.184249 4 2 5 0 18
LoyceV | 28 49.82143 28.88041 51 26.5 62.5 16 145
Lutpin | 28 1.464286 2.380198 0 0 1 0 7
OgNasty | 28 2.142857 2.085475 1.5 .5 3 0 7
PHI16168 | 28 4.142857 6.421689 2 0 4 0 24
Piggy | 28 2.142857 2.876653 1 0 3.5 0 12
Pmalek | 28 5.321429 4.769141 3.5 2 7.5 0 17
Quickseller | 28 3.75 5.125282 1.5 0 5 0 18
SaltySpitoon | 28 6.178571 7.448856 3 1 12 0 27
Steamtyme | 28 17.42857 25.50008 8 4.5 17.5 0 129
TMAN | 28 4.964286 11.79605 2 0 3 0 59
The Pharmacist | 28 9.571429 7.445747 8 4.5 10.5 0 29
TheFuzzStone | 28 13.53571 12.76999 12 7 17 0 53
TheNewAnon135246 | 28 4 3.741657 3 1 6 0 15
Toxic2040 | 28 4.5 8.987646 0 0 4.5 0 36
TryNinja | 28 14.75 8.400287 13.5 9.5 19 0 33
VB1001 | 28 26.57143 17.78978 24.5 16 34.5 0 88
Veleor | 28 23.53571 20.8726 18 11 24 2 81
Vod | 28 3.535714 3.706672 2 1 4.5 0 14
Xal0lex | 28 12.71429 11.10841 8 5.5 20.5 1 38
abhiseshakana | 28 10.32143 7.113126 9 5 14.5 0 32
achow101 | 28 18.14286 14.37002 15 7.5 28 1 60
actmyame | 28 10.46429 8.791756 8 3 17 0 32
asche | 28 8.071429 6.996976 6.5 4 9.5 1 33
bitmover | 28 15.82143 12.22036 13.5 8 20.5 4 68
bob123 | 28 18.89286 16.86183 17.5 1.5 31 0 56
bones261 | 28 4.142857 6.835172 1 0 6.5 0 27
chimk | 28 9.178571 7.368871 7.5 5 12 0 30
coinlocket$ | 28 3.178571 4.981845 2 1 3.5 0 25
fillippone | 28 49.35714 20.85615 44.5 32.5 63.5 23 113
gentlemand | 28 14.32143 8.340235 13.5 8.5 23 2 31
gmaxwell | 28 22.57143 35.93557 8.5 1.5 28 0 136
hilariousandco | 28 4.214286 4.76373 2 1 6.5 0 18
hilariousetc | 28 5.392857 8.438621 1.5 0 6.5 0 30
iasenko | 28 13.53571 11.22986 12.5 3 20.5 0 40
infofront | 28 6.964286 14.62743 2.5 0 5 0 72
jojo69 | 28 10.60714 10.22104 8 4.5 12 1 46
joniboni | 28 5.107143 4.067389 5 2 8 0 17
kenzawak | 28 2.5 5.890985 0 0 1 0 23
krogothmanhattan | 28 9.428571 10.15593 7.5 3 10.5 0 48
lovesmayfamilis | 28 19.89286 15.17146 20 7 30 0 49
marlboroza | 28 11.21429 13.02237 6 2 15 0 48
micgoossens | 28 32.32143 13.364 26.5 23.5 39.5 16 65
mikeywith | 28 30.35714 20.32917 28 21.5 34 8 118
minerjones | 28 9.321429 7.606301 8.5 2.5 14.5 0 23
mjglqw | 28 12.89286 9.878294 12 7 18 0 45
mocacino | 28 9.357143 7.108755 7 5 13.5 0 28
mole0815 | 28 7.285714 9.50188 4 1 7 0 34
morvillz7z | 28 15.64286 11.03266 14.5 7 21 0 41
mu_enrico | 28 9.785714 7.752453 7 4 15 1 36
nullius | 28 .25 .6454972 0 0 0 0 3
nutildah | 28 29.10714 16.82885 28.5 18 41 2 66
o_e_l_e_o | 28 39.03571 18.93162 42 21.5 52.5 12 82
pandukelana2712 | 28 8.107143 9.780325 6 2 11 0 47
philipma1957 | 28 10.5 5.934831 10 7 13 2 26
pooya87 | 28 16.57143 7.015478 16.5 11 21 6 30
qwk | 28 5.178571 6.383158 2 1 8 0 26
roycilik | 28 9.821429 11.15232 5 1 18 0 37
satoshi | 28 13.17857 17.71598 4 1 21.5 0 71
stompix | 28 8.214286 6.972736 6 3 12 1 31
suchmoon | 28 35.64286 19.21075 35.5 20.5 44.5 10 87
taikuri13 | 28 14.92857 8.571825 12 8 20.5 5 35
theymos | 28 52.82143 94.38575 23.5 12.5 53 1 501
theyoungmilliona | 28 4.964286 7.814906 .5 0 7.5 0 25
tranthidung | 28 24.57143 21.63747 15 10.5 35.5 1 104
tvplus006 | 28 15.21429 11.34103 11 7 24 0 39
witcher_sense | 28 24.5 14.65277 20.5 15 30.5 3 61
wwzsocki | 28 15.14286 16.84288 11 3 22 0 78
xhomerx10 | 28 14.53571 13.27064 10.5 5.5 20 0 55
xtraelv | 28 12.85714 13.02907 9.5 2.5 19 0 47
yahoo62278 | 28 19.82143 22.80035 11.5 6 28 0 112
yogg | 28 15.85714 15.70967 11 4 20.5 0 61
-----------------+--------------------------------------------------------------------------------
Total | 2800 13.39643 18.63747 8 2 18 0 501
--------------------------------------------------------------------------------------------------
(if their last week earned merits >=5). +-------------------------------------+
| username m51 c51 |
|-------------------------------------|
1. | Hhampuz 1451 159 |
2. | DdmrDdmr 3057 58 |
3. | LoyceV 4446 50 |
4. | tranthidung 1019 46 |
5. | Last of the V8s 2186 46 |
|-------------------------------------|
6. | VB1001 1327 43 |
7. | morvillz7z 1088 41 |
8. | o_e_l_e_o 3055 41 |
9. | Goran_ 922 38 |
10. | DireWolfM14 1135 37 |
|-------------------------------------|
11. | yahoo62278 1088 36 |
12. | DarkStar_ 1126 36 |
13. | mikeywith 1748 36 |
14. | gmaxwell 1932 34 |
15. | Steamtyme 1439 33 |
|-------------------------------------|
16. | stompix 768 31 |
17. | nutildah 1548 29 |
18. | CryptopreneurBrainboss 1000 29 |
19. | pooya87 1147 27 |
20. | tvplus006 885 27 |
|-------------------------------------|
21. | qwk 1261 26 |
22. | gentlemand 1126 25 |
23. | fillippone 1872 25 |
24. | LFC_Bitcoin 1382 24 |
25. | micgoossens 2958 24 |
|-------------------------------------|
26. | roycilik 1153 23 |
27. | taikuri13 1094 23 |
28. | xhomerx10 1578 23 |
29. | JayJuanGee 1231 22 |
30. | iasenko 1402 21 |
|-------------------------------------|
31. | bob123 1351 21 |
32. | witcher_sense 1036 17 |
33. | Veleor 1291 17 |
34. | TheFuzzStone 779 17 |
35. | 1miau 1670 17 |
|-------------------------------------|
36. | pandukelana2712 965 17 |
37. | HCP 1519 16 |
38. | mu_enrico 1100 14 |
39. | suchmoon 3443 14 |
40. | philipma1957 1042 13 |
|-------------------------------------|
41. | HairyMaclairy 1471 13 |
42. | abhiseshakana 1480 13 |
43. | krogothmanhattan 1370 11 |
44. | Lafu 765 11 |
45. | Coin-1 670 10 |
|-------------------------------------|
46. | marlboroza 1236 10 |
47. | BitCryptex 1117 9 |
48. | Coolcryptovator 1042 9 |
49. | Artemis3 687 9 |
50. | TryNinja 1206 8 |
|-------------------------------------|
51. | The Pharmacist 2230 8 |
52. | Vod 1351 7 |
53. | mjglqw 791 7 |
54. | xtraelv 1438 7 |
55. | hilariousandco 708 6 |
|-------------------------------------|
56. | Husna QA 1041 6 |
57. | joniboni 1183 6 |
58. | TMAN 1167 5 |
59. | LeGaulois 751 5 |
60. | lovesmayfamilis 1028 5 |
|-------------------------------------|
61. | Pmalek 696 5 |
62. | jojo69 1055 5 |
63. | Coding Enthusiast 957 5 |
64. | Carlton Banks 1149 5 |
65. | mocacino 869 5 |
+-------------------------------------+
Box plots:For all top 100 merited users: For 4 groups of top 100 merited users: Over each users (outliers displayed with red circles):
|
|
|
|
Update 2019w51- Number of users who earned at least 1 merit: 18049
- Number of users who sent at least 1 merit: 7393
- Number of users who earned or sent at least 1 merit: 39535
- Total Autobanned users: 141377
- Total Nuked users: 61625
- Total legit users: 11607
- Total earned merits: 444086
- Total sent merits: 484350
A summary table: | | | | | Earned merits | | | | | | Sent merits | | | | Groups | | | Freq. | Percent | Total earned | Percent | | | Freq. | Percent | Total sent | Percent | | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ | | 1-10 | | | 7321 | 63.1 | 33996 | 7.7 | | | 8303 | 71.5 | 29351 | 6.1 | | 11-100 | | | 3467 | 29.9 | 102691 | 23.1 | | | 2636 | 22.7 | 89413 | 18.5 | | 101-250 | | | 469 | 4.0 | 72405 | 16.3 | | | 426 | 3.7 | 67009 | 13.8 | | 251-500 | | | 177 | 1.5 | 61461 | 13.8 | | | 125 | 1.1 | 42639 | 8.8 | | 501-1000 | | | 109 | 0.9 | 74197 | 16.7 | | | 59 | 0.5 | 41674 | 8.6 | | 1001+ | | | 64 | 0.6 | 99336 | 22.4 | | | 58 | 0.5 | 214264 | 44.2 | | Total | | | 11607 | 100 | 444086 | 100 | | | 11607 | 100 | 484350 | 100 | | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ |
- Data on autobanned/ nuked users began at January 04, 2019, 08:03:06 AM *Counted at the start of this topic
| Merit status | Frequency | Percent | | _________________________ | ______________ | ______________ | | Sent only | 7393 | 18.8 | | Earned only | 18049 | 45.6 | | Both | 14093 | 35.7 | | Total | 39535 | 100 | | _________________________ | ______________ | ______________ | | Account status | | | | _________________________ | ______________ | ______________ | | Legit | 11607 | 82.4 | | Autobanned | 2472 | 17.5 | | Nuked | 14 | 0.1 | | Total | 14093 | 100 | | _________________________ | ______________ | ______________ |
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Notes:- Updates will be made with new post, quarterly.
- Dataset will be updated with new part, not all.
- Autobanned/ nuked stats have been taken from the day LoyceV started to scrap data on this
This one is a thread for time-series plots of five statistics (might be expanded to seven, please see the question at the bottom). - Number of at least one earned-merit users
- Number of at least one sent-merit users
- Number of legit users: who are sent & earned at least 1 merit AND have not yet been autobanned or nuked.
- Number of autobanned users
- Number of nuked users
I only observed the statistics from 3 rd to 5 th within the last five weeks. Therefore, at the moment, I only give you plot for three statistics: sent/ earned at least 1 merit, and legit users. Plot:If you noticed, there are noticeable increases in nsent & nreceived in 21sep2018 (as effects of enhanced merit system) ** One year anniversary of enhanced merit system. The spike actually occured on 16sep2018, instead of 21sep2018.
Data sources:[1, 2]: LoyceV's Merit data analysis (full data since Jan. 24, 2018; not just 120 days)[3]: At-least-1 sent & earned merits users , excludes autobanned/ nuked. Stats![4]: http://loyce.club/bans/Autobanned.txt[5]: http://loyce.club/bans/Nuked.txtData: +---------------------------------------------------------+
| date nreceived nsent autoban nuke legit |
|---------------------------------------------------------|
1. | 28may2018 15755 14143 . . . |
2. | 01jun2018 16056 14363 . . . |
3. | 08jun2018 16303 14548 . . . |
4. | 15jun2018 16583 14796 . . . |
5. | 22jun2018 16795 14981 . . . |
|---------------------------------------------------------|
6. | 29jun2018 17048 15159 . . . |
7. | 06jul2018 17335 15343 . . . |
8. | 13jul2018 17588 15485 . . . |
9. | 20jul2018 17835 15670 . . . |
10. | 29jul2018 18078 15829 . . . |
|---------------------------------------------------------|
11. | 03aug2018 18292 15980 . . . |
12. | 10aug2018 18533 16104 . . . |
13. | 17aug2018 18738 16229 . . . |
14. | 24aug2018 18915 16337 . . . |
15. | 31aug2018 19082 16462 . . . |
|---------------------------------------------------------|
16. | 07sep2018 19268 16587 . . . |
17. | 14sep2018 19453 16706 . . . |
18. | 21sep2018 21235 17290 . . . |
19. | 28sep2018 21971 17578 . . . |
20. | 05oct2018 22543 17784 . . . |
|---------------------------------------------------------|
21. | 12oct2018 22925 17957 . . . |
22. | 19oct2018 23291 18100 . . . |
23. | 02nov2018 23981 18374 . . . |
24. | 09nov2018 24234 18468 . . . |
25. | 16nov2018 24481 18581 . . . |
|---------------------------------------------------------|
26. | 23nov2018 24670 18681 . . . |
27. | 30nov2018 24825 18752 . . . |
28. | 07dec2018 25008 18848 . . . |
29. | 14dec2018 25180 18937 . . . |
30. | 21dec2018 25328 19013 . . . |
|---------------------------------------------------------|
31. | 28dec2018 25451 19063 . . . |
32. | 04jan2019 25609 19152 . . . |
33. | 11jan2019 25809 19236 . . . |
34. | 18jan2019 25994 19315 . . . |
35. | 25jan2019 26151 19376 . . . |
|---------------------------------------------------------|
36. | 01feb2019 26311 19434 . . . |
37. | 08feb2019 26461 19496 . . . |
38. | 15feb2019 26605 19558 . . . |
39. | 22feb2019 26746 19611 . . . |
40. | 01mar2019 26864 19651 . . . |
|---------------------------------------------------------|
41. | 08mar2019 27003 19699 . . . |
42. | 15mar2019 27147 19736 . . . |
43. | 22mar2019 27290 19787 . . . |
44. | 29mar2019 27421 19848 . . . |
45. | 05apr2019 27589 19903 . . . |
|---------------------------------------------------------|
46. | 12apr2019 27733 19964 . . . |
47. | 19apr2019 27838 20011 . . . |
48. | 03may2019 28092 20124 . . . |
49. | 11may2019 28214 20162 . . . |
50. | 17may2019 28340 20195 . . . |
|---------------------------------------------------------|
51. | 24may2019 28466 20237 . . . |
52. | 31may2019 28591 20285 . . . |
53. | 07jun2019 28706 20324 . . . |
54. | 14jun2019 28812 20364 . . . |
55. | 21jun2019 28946 20405 . . . |
|---------------------------------------------------------|
56. | 28jun2019 29077 20459 . . . |
57. | 05jul2019 29199 20509 . . . |
58. | 12jul2019 29321 20542 . . . |
59. | 19jul2019 29450 20582 . . . |
60. | 26jul2019 29557 20620 . . . |
|---------------------------------------------------------|
61. | 02aug2019 29675 20650 . . . |
62. | 09aug2019 29785 20685 . . . |
63. | 16aug2019 29909 20720 . . . |
64. | 23aug2019 30025 20761 . . . |
65. | 01sep2019 30124 20789 . . . |
|---------------------------------------------------------|
66. | 06sep2019 30215 20819 . . . |
67. | 13sep2019 30319 20847 . . . |
68. | 20sep2019 30410 20878 . . . |
69. | 27sep2019 30511 20911 . . . |
70. | 04oct2019 30603 20950 . . . |
|---------------------------------------------------------|
71. | 11oct2019 30697 20993 . . . |
72. | 18oct2019 30785 21022 . . . |
73. | 25oct2019 30926 21079 . . . |
74. | 01nov2019 31090 21135 . . . |
75. | 08nov2019 31210 21175 . . . |
|---------------------------------------------------------|
76. | 15nov2019 31342 21215 . . . |
77. | 22nov2019 31566 21288 . . . |
78. | 29nov2019 31736 21367 141218 59444 11487 |
79. | 06dec2019 31861 21394 141289 59598 11518 |
80. | 13dec2019 31944 21420 141341 59845 11537 |
|---------------------------------------------------------|
81. | 20dec2019 32030 21459 141359 61531 11576 |
82. | 27dec2019 32143 21486 141377 61625 11607 |
+---------------------------------------------------------+
Question?I have statistics on total sent/ earned merits in [3]. Are you interested in those 2 figures? If yes, I will include them in the dataset later.
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Then isn't it better to join signature campaigns after developing the habit of making quality post. Mods will do their work to keep this forum better for its users. If they fear to make big number of post due to having chances of being deleted by mods then campaign slots isn't for them.
It is responsibility of managers to choose good participants among so many applicants. If you choose good applicants, their post quality does no long an issue but this time their posting intensities will be likely issues. Participants who do not satisfy post quota of campaigns are not the ones who make shitposts. It is not always the case like that. In my previous post, I forgot to mention some others reasons: - Lack of time in specific weeks: Maybe they are busy with their works in their companies or with unexpected house chores; then they can not meet post quota in one or two weeks (or longer).
- Holidays, vacations, etc.: For example, currently we have been in holidays in most of nations globally, so if you see some of your participants don't make a single post within this period, it is somewhat understandable.
For 'lazy' participants, I recommend they should make extra posts (one to three) each week in order to make sure that if one to three posts deleted by any reasons, they will still be qualified to receive payments. Don't be overlazy. |
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A new bloodstream to come as a way to celebrate the new year. Thanks DarkStar_ for the big news. Happy holidays, manager, ChipMixer company, all Chipmixer's participants, and eveyone who visit this thread.
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My question is:
Do they only post for fulfill the minimum post requirements or post count?
Yes and No. Yes: for the most of participants who usually or always make posts to satisfy post quota each week of campaign they join. If the campaign they join ask for 25 posts per week. They usually / always make exactly 25 posts each week, and they don't care about the risks of posts deleted by moderators or threads in which they post trashed by moderators. Consequently, they usually pop up to complain: "Oh, manager, why I did not receive payments for the last week. Please give me a payment and I will make one more post next week as my compensation for lack of posts this week". Those ones don't care to make one or two more posts each week, because with them 25 posts is exactly their self-limits. No: for participants who make posts when they see some discussions they can join and help the others. Those ones, they don't care about post quota. I meant, they of course satisfy post quota (25 posts per week, ie.) but after reaching 25 posts in one week, they will do keep posting if there are situations they can join and help. They don't stop posting after reaching post quota. For example: I make 40 to 50 posts each week, but the campaign I joined (PlayBetr) only requires 25 posts per week. Do I get more payments (double) when I make 40 to 50 posts weekly? No, but I am going to keep posting, it is my habit and I feel happy with that. |
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