Topic: Merit Stat from theymos data (Read 1481 times)

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Great work!  Very informative, will not anyone promptly open the base of forum participants?

I have skills to do statistical analysis on merit system, but I don't have skills to get detailed datasets.
In addition, I believe that no one can verify or confirm that those data and analyses published by someone in the forum are correct one.
My suggestion is, Theymos (if possible) should give forum users datasets which contain more basic variables than the current ones.

This is just a great example of what kind of quality content everybody wants to see on BTT. Amazing job with this merits summary. I am looking forward to an update with even more insights on the merits. I like to know the exact figures of merit system because this gives me an overview of what happens and how this influences particular ranks. Great job OP.

Thank you for your information.forum are more and more members. The forum is growing. I hope the forum and admins offer better policies to help newbie as well as those who do not know about merit or smerit. It will create quality articles and quality members. The forum will be stronger in the crypto world. cheer!!

This post is really cool, excellent zentdex....
I agree with those give their smerit to you for this post, if I have it I will send to you. Your post really show a high quality post based on data and analyzed with statistical approach. I am interested with the decline of smerit sent as I recently do not give my smerit as I think that smerit is limited and nothing left anymore. This reason probably felt by most of forum community.

Great job Zentdex!
I believe it is not easy to present your really high quality post, I am certainly that this is a kind of high quality post. Decline of smerit distribution as you concerned, is that related with the smerit availability in each of members? If the availability is getting lack, that is most probably the reason why is the decline shown.

You created a stunning post. Your analysis is excellent, I really liked the graphics and tables that clearly explain the topic. Despite how many people are now discussing merit system, it was difficult for me to find a really interesting and useful posts. But your analysis really clarifies the situation and shows how effective all the innovations are. Thank you for such an informative report.

Great imformation! It made me feel more interested in earning merit, even if it was quite difficult for the newbie.

I think you are slightly confused about how Merit is transfered. When you merit someone you give them sMerit from your account, not your Merit, so your hard earn Merit does not decrease. Basically, for every 2 Merits you earn you get 1 sMerit added to your account. You give away sMerit and the user that receives it receives Merit.

Example:
- User A has 50 Merit (25 sMerit if all is still conserved) and User B has 0 Merit.
- User A then Gives 4 sMerit to User B (you merit someone, but you transfer from your sMerit balance).
- The final result will be that User A will still have 50 Merit (and 21 sMerit to give away). User B will have 4 Merit (and now 2 sMerit to award).

Excellent work you deserved a merit for sure but I can't give you any. I see that there are not many posts merited especially on few boards. Such a huge decrease in merits shows that users want to wait and not lose all their precious merits at the start because we all have learned very fast that this is not easy to earn one merit even if you write quality posts and do what you can to be supportive on the forum.

I had no idea how many Merits circulating in the forum. I think that soon, a very interesting calculation to make, will be how many users are with the pending ranking for not having reached the quota of merits. Ranking up from Full to Legendary is a very difficult task. It would be interesting to compare how many members became legendary year by year. In 2018 we can have a lower number than 2016/2017.

Thursday at 3 o'clock. I'll always try to post something at this time. : D

Thanks for your sharing. The article helped people like me to know a lot more about merit. I will try to post more quality

Great post. All drilled-down stats are a smashing way of exploring the data and trying to uncover flaws or the magic of the system.

I wondered myself how much sMerit was being given in a circular manner, that is subject A gives it to subject B and subject B gives it to subject A (not necessarily in the same order of magnitude). This is not necessarily a wrong thing to do, since I may be merited by someone, checkout his posts, and decide to give him some sMerit for one of his good posts. It could also be an indicator to farmed accounts meriting each other or pacts between users.

Regardless, my focus was just on trying to see how often it happens, and not going in to the detail of whether it is justified or not.

Using the most recently updated Raw Data source that I’ve found (timeframe 24/01/2018 through to 09/03/2018) , I decided to study that period as a whole, without baring other variables than the Meriter, the Merited, and the sMerit assigned within that period (i.e. no breakdown by dates/times nor ranks – by the way I cannot see the Rank in the raw data).

The initial dataset data for the given period shows:
Transferred sMerit in period:     97.171
Number of sMerit Transaction:  41.700

What I created was a table with the following information:
User_from: Meriter
User_to: Merited
NumTimesGiven: Number of sMerit Transactions from Meriter to Merited
SumMeritGiven: sMerit Transferred from Meriter to Merited
NumTimesReceived: Number of sMerit Transactions from Merited to Meriter
SumMeritReceived: sMerit Transferred from Merited to Meriter
Percent_given_over_received: Percentage of Given sMetir over received sMerit between Meriter and Merited


The above table is the starting point, holding all the pairs of sMerit transferred between Meriter and Merited, and vice-versa. The problem is that each user is included in the table twice potentially (as a Meriter and as a Merited subject). I therefore created a derived table that avoided the above issue, making each person figure only once in the table for a given Meriter/Merited couple.

In global, of the 91.171 sMerits given, 87.183 where inventoried as “given” and 9.988 as “received back”. That should not be taken verbatim since the process of keeping only one record for each pair of Meriter/Merited users is arbitrary (i.e. A giving sMerit to B is a record, but I could also have chosen B giving to A).

Where I really wanted to get to was finding pairs that had a similar ratio of sMerit given than received.

First I deleted all records that sent sMerit from subject A to B, but did not receive sMerit from subject B to A. The net amount of records now goes down to 2.976, with 22.880 sMerits involved (23, 55%).

Examples:

user_from   user_to   NumTimesGiven   sumMeritGiven   numTimesReceived   sumMeritReceived   Percent_given_over_received
729995   1115343   2   77   1   5   1540,00%
822485   990983   5   55   2   55   100,00%
511933   822485   2   55   2   14   392,86%
181084   213773   2   50   1   50   100,00%
112286   135065   1   50   2   50   100,00%
944905   1076869   4   50   3   50   100,00%
913200   914767   1   50   1   50   100,00%
316540   377879   1   50   1   41   121,95%
1001911   1064065   2   50   1   41   121,95%
988901   1033117   9   50   8   37   135,14%
1005975   1093441   2   50   3   30   166,67%
842041   1123153   4   50   2   28   178,57%
221867   298905   1   50   1   26   192,31%
336733   373994   1   50   5   23   217,39%
756570   1035345   1   50   1   18   277,78%
831989   1350445   2   50   1   11   454,55%
389331   935622   1   50   1   10   500,00%
915311   944905   3   50   2   10   500,00%


If we narrow down the query to those records where Percent_given_over_received is within the range of 80..120% (that is, sMerit given from A to B is roughly what B receives from A), the number of records (cases) goes down from 2.976 to 1.294, with cases such as:

user_from   user_to   NumTimesGiven   sumMeritGiven   numTimesReceived   sumMeritReceived   Percent_given_over_received
822485   990983   5   55   2   55   100,00%
181084   213773   2   50   1   50   100,00%
112286   135065   1   50   2   50   100,00%
944905   1076869   4   50   3   50   100,00%
913200   914767   1   50   1   50   100,00%
95437   860708   3   39   2   38   102,63%
1018920   1035345   1   36   1   31   116,13%
979216   982124   1   34   2   38   89,47%
1036967   1122909   2   34   4   29   117,24%
101872   976210   6   33   17   30   110,00%
771836   882756   3   31   4   31   100,00%
964133   1334470   4   29   6   30   96,67%
98986   153656   7   28   2   30   93,33%
1052553   1113026   1   27   1   26   103,85%
976210   1764044   22   24   5   20   120,00%
934304   939859   2   20   3   20   100,00%
81995   662293   1   20   20   20   100,00%
202760   598528   1   20   1   20   100,00%

Being the aggregate summarized as follows:

sMerit NumCases
55   1
50   4
39   1
36   1
34   2
33   1
31   1
29   1
28   1
27   1
24   1
20   6
19   1
17   1
16   1
15   2
14   1
13   1
12   2
11   5
10   21
9   4
8   13
7   13
6   24
5   44
4   30
3   30
2   162
1   918
Grand Total   1.294

So in summary (working on this last table where Percent_given_over_received is within the range of 80..120%, since I was aiming studying a similar sMerit transfer/receive amount -> these I call paired sMerits):

- The vast majority of paired circular sMerits are relative to 1 or 2 sMerits: 83,46%
- High paired circular sMerit transfer/receive Txs occur in 4,33% of circular assigned paired sMerits (10 sMerits or above).

- From a global perspective, 23,55% of sMerit asigned seems to be involved in circular sMerit asignment.

A lot more can be done with more detailed raw data and the precious element of time which I lack..

Wow! You really did a great job!

I have this question: If we remove 25 Jan and 26 Jan from the data, would Thursday and Friday still be the days when the most sMerits are sent?

I also want to say that merit sources are probably staff and legendary members, and that's why those members sent the most merits, not to mention that legendary members started with the most sMerits to giveaway.


We may be able to calculate the sMerits of any user, I don't know if it would be easy to do for a large number of accounts but I know how to do it:
Every user started with 'a' sMerits, received 'b' merits and spent 'c' sMerits, so the number of sMerits 'x' a user has is:
x = a + b/2 - c
I'm ranked as a member and I initially received 1 sMerit, legendary members received 200 sMerits - QuestionAuthority stated - but if I remember correctly Theymos said that not all users of a certain rank started with the same amount of sMerits but they actually started with an amount of sMerits based on the number of activity points gained in the last year, so if a user has gained 0 activity in the last year he didn't receive any sMerits.

We may need more research to know exactly how many sMerits every member started with, or we could ask Theymos , but I just thought of giving you my 2 cents.

@OP

Since the Ranks really matters now, not like in the past, I wouldn't be surprised myself if the number of members ranking up would gradually decrease. This has been one of the goal of the System that has been taken into effect immediately by far.

All in all, its great to see infographs such as this, though the raw data is open to public you definitely put an effort into this one.



Well, if they awarded "x" amount of merits to a number of members and have awarded number "x" back, then it would replenish the exact amount that has been distributed.

In other case, they could just apply as Merit Sources if they really awarded members that are by the way really deserved to have Merits.

Thank you. As the time passes the initial sMerits are given causing a "Big Bang" and now things are getting into cruise mode. All new merit comes from sources and Theymos will be able to regulate the issuance rate and validate the effects. My guess is that in 3 or 6 months the system will undergo its first review and some decisions will be made, even if the decision is just continuing.

The system has also had the side effect of exposing a few farms out there.

hello there, i've done this in the past where you can find all links for mertit givers https://bitcointalksearch.org/topic/m.31449020

Can you get stats to see how many people ranked up and who ranked up? This is the best way to find abuser

The system should periodically give smerits to people that are awarded ''x'' amount of merits each month, that would be an easy and fair solution, in my opinion.

Those are UNIX timestamps. You can easily convert them to human date in various apps.
Example: 1519904498 = Thursday, March 1, 2018 11:41:38 AM