What you need to know about Post Payout Correlation - Steemit Business Intelligence

in #utopian-io7 years ago (edited)

Recently I was tagged in a post where there was some conversation about the correlation of SP and post rewards and I agreed to take a look at some data

You can read the full post and thread here
https://steemit.com/steem/@maryfavour/will-hardfork-20-0-fix-a-system-where-220-steemians-earn-usd500-post.

In the comments to this post @abh12345 said

I'm guessing that if an analysis was done on showing average post reward / SP owned, the more SP owned, the higher the post reward will be.
Maybe Paula or someone would like to show that this is/ is not the case.

Before we get fully into the data, I would expect to find a correlation between reputation and post rewards. It takes time to build up your reputation on Steemit and the higher you go, the harder it gets. I also takes time to build a following. So if you spend the time on Steemit posting and curating then over time as your reputation grows, your post rewards should also grow.

Let’s take a look at the data so.

The Analysis

The scatter plot below plots the owned SP and the total post payout value for January posts. I have excluded accounts with SP of 250K or more as it skews the rest of the chart and there are very few accounts. Looking at this chart there does not appear to be a correlation between increased SP Owned and the Post Payout value.

3.png

Next I plotted the SP owned by the Average total post payout per author. Again from this chart there is no correlation between the SP Owned and the post payout

4.png

However many people delegate out their SP and therefore Owned SP is not always the same as Controlling SP. I have calculated controlling SP to be SP Owned less SP delegated out plus SP delegated in. Although there are clusters, there is no correlation present here either.

5.png

So there does not seem to be a correlation between the SP controlled and the post payout. This is to my surprise.

Disappointed that I have not found a correlation, I continued on with the data. Below the scatter chart plots the Controlling SP and the average number votes per post by author

6.png

And below shows the average number of comments per posts and the Controlling SP

7.png

So far these analysis are not showing any correlations with Controlling SP and post payout, average comments per post or average number of votes per post.

But I did find a correlation between the SP Owned and the reputation. Look at what happens when someone reaches a rep of 60

3.png

And also a correlation between the controlling SP and the reputation

4.png

On a roll now I also found a correlation between the average number of votes per post and the reputation of the author

5.png

And a correlation between the average number of comments per post and the reputation.

6.png

Wrap up and Conclusion

Although I did not find a correlation between SP held and the Post Payout value, I did find correlations between reputation and votes, comments and SP.

Next I need to look at comments as this only takes in Posts.

From my experience on Steemit, observation and studying the data in the past, here is my take on what is happening:

When people start on Steemit they have very little SP and a Rep of 25. Progression from a rep of 25 to a rep of 55 is not too difficult as long as you are actively posting and curating. However the growth from 0 – 5000 SP takes a heck of a lot longer.

Taking from the Jan Post benchmarking report the average Post payout was SBD$3.81 excluding comments. You can read that post here https://steemit.com/utopian-io/@paulag/jan-2018-steemit-post-benchmarking-report-blockchain-business-intelligence)

At the time of writing the value of SBD is $3.80 and STEEM is $3.94. Therefore it would take on average 1360 posts before someone becomes a dolphin. Now consider how many posts you do a day. I try and do 1 but average out at 26 a month. On average it would take me 56 months.

We don’t see a real increase in the SP held until the steemain reaches a rep of 45+. Let’s just zoom in on that data a little, below is the Average owned SP by Rep filtering SP owned to be under 10K. We can see from this, the real ‘investors’ with a high stake have a Rep of 60+

7.png

Looking at the chart below which plots the average gross payout value against the controlling SP but this time filtering only steemains with a rep of 45+ and control SP of less than 60K. Now we can see that there is a cluster of steemains with an SP below 20K and the average post payout is clustered under $22, however after an SP of 20K the data is more scattered as there are less steemains but their posts don’t really do any better on average.

14.png

Reputation is important, and I think this highlights just how important and it has been proven from the data above, the higher your rep, the higher your post payout. You can have little SP and a high rep and still do well.

I would love to hear your thoughts on this, please do leave a comment below

The Query and Calculations

I have connected to Steemsql held and managed by @arcange using Power BI. First I connected to the Accounts table as this table contains Reputation. It also contains details of Vests, both held and delegated.

The query used for this dataset was

Select
name,
id,
created,
vesting_shares,
delegated_vesting_shares,
received_vesting_shares,
reputation
from Accounts NOLOCK

With this dataset I needed to add some calculations to convert the Reputation score as stored in the blockchain to the Rep score shown on the UI. I also needed to convert vests to SP and calculate total controlling SP.

The second table of data I connected to was the Comments table, as this table contains information about the payouts, net votes and number of comments. The query used here was

SELECT
author,
category,
created,
children,
total_payout_value,
net_votes,
pending_payout_value
FROM 
Comments (NOLOCK)
where created >= CONVERT(DATE,'2017-01-01')
and created< CONVERT(DATE,'2017-02-01')
and depth = 0

I am part of a Blockchain Business Intelligence community. We all post under the tag #blockchainbi. If you have an analysis you would like carried out on Steemit data, please do contact me or any of the #blockchainbi team and we will do our best to help you...

You can find #blockchainbi on discord https://discordapp.com/invite/JN7Yv7j



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Hey @crokkon, I just gave you a tip for your hard work on moderation. Upvote this comment to support the utopian moderators and increase your future rewards!

Very interesting. This seems to support my general sense of the "whale lottery," which I first observed by the fact that as my followers went from 0 to 7000 and my Steem Power from 0 to almost 5000, and my reputation from 25 up to 69, that my earnings seemed to be quite similar, and mostly dependent on whether one of a handful of whales upvote my posts.

It seems to me likely that the correlation isn't causative. Most folks that start out on Steemit bail, after not achieving expected results. Them as stick it out tend to learn how to post better content, and be focused on realistic goals, rather than quick cash.

As a result, after the time invested necessary to achieve 60+ rep, the posts they are producing are of higher quality - or they have developed relationships with accounts capable of delivering higher rewards.

I do appreciate your analyses.

Thanks!

Awesome! I knew you'd find something, although it's not what was originally suspected.

It's really interesting to see that lovely curve begins when reputation hits 60 - is this when other dolphins and whales start to recognise that person is sticking around an producing good content?

The curve is so uniform, you wonder if 'sock puppet curation bots' are using rep as calculation on how much weight to upvote a post - perhaps trying to guess its approximate payout value to find a good weight to use?

Love it! :D :D

this was a surprise to me too, but it also shows the you are not penalized for taking money out of steemit either. If you have a higher rep and were to just say power down everything, your growth in terms of SP the second time around would be much faster

All these numbers are making me dizzy, but I´m glad, that there are people like you, who seem to enjoy these things. 😀So I´m happy with the conclusion, although I see it highly unlikely for someone to become a dolphin just by posting and without investing into STEEM. Are there even people, who have done this without investing?

I am one of them. And I know many others. We invest through our posts and comments. And powering up our SBD. The trick is getting people to keep their SP. There are folks that have earned well more than they need to be a dolphin, just by posting. But they have powered down and are now minnows, even though they have a high reputation.

Thank you! Good to know and gives me hope, that people can really do it, even without investing fiat. I would never have the idea to power down, unless I really would need the money to pay some bills. For me it´s totally clear, that powering up is the way to go, when you are here for the long run! Thanks for making yourself visible - until now, I only met people who were investors and no "self-made-Steemionaires" 😀

yes there are

Yes, there are. I'm not going to tag them here, but I do know of at least one account that has done so.

Thank you for looking into this. I did feel your frustration for not finding any correlation between held SP and post payout value and also felt your satisfaction when you found correllation between rep, votes, and comments.

I do believe that rep does take an important role in the STEEM blockchain, but didn't have any number or data to back it up. This analysis did it for me.

I also wanted to see where I fare on fhe data above, specifically rep vs SP held and I think I'm on average - accounts with 60+ rep hold an average of 2k SP.

And finally this note:

You can have little SP and a high rep and still do well.

Fantastic.

the was relief when i found a correlation. I had made an assumption that the correlation would be with SP. Got it so wrong.

Hi @paulag, wow, great work! Just wondering, is the reputation scale correct? The lowest rep account I could find is berniesanders with -60896301672042 (around -18 in normalized/steemit scale) - your axis ranges down to almost -60. Am I mixing things up?!

well spotted, had a typo in the calculation that effected reps of less than 0, increasing them x3 value. Charts are updated, however you wont see much difference, just the -60 value is now adjusted @crokkon and @eastmael

now berniesanders is clearly visible in the graphs :)

he is indeed

Perhaps that's where -60 came from? Unnormalized rep? Looking forward to Paula's reply as well.

It's depressing how much time is needed to gain following and reputation without cheating. Many of real content-makers stay mostly unnoticed while chosen few have it all.

Very cool analysis and quite surprising outcome, thought there would be more correlation.

I am very surprised

Very valuable data @paulag, as I was wondering where I need to get to start to see some traction. Now I'm in a mad rush to get to a 60 rep :). Thank you.

thats the way to go, 60 is the magic number

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