scrobble.life
#distribution

Steem: An attempt to show improved distribution to content authors over the past year

A look at reward distribution between authors and the participation in content production over the past year.

tl;dr: Good news, I think!

source


The initial idea of this data grab, based on numerous requests, was to take a look at pre and post hard fork author rewards to see if the EIP had changed the distribution in any way.

Before I get to the data, a reminder of what is stated in the Steem whitepaper:

The actual distribution will depend upon the voting patterns of users, but we suspect that the vast majority of the rewards will be distributed to the most popular content.

... if we order some large collection by size or popularity, the second element in the collection will be about half the measure of the first one, the third one will be about one-third the measure of the first one, and so on.

... if we have a million items, then the most popular 100 will contribute a third of the total value, the next 10,000 another third, and the remaining 989,900 the final third.

The quotes and chart above are all taken from page 13 of the Steem Whitepaper.

My short interpretation of the above is that it is expected that the vast majority of content producers will earn little compared to the few at the top. I've included the above to make clear that this is the game and it's unlikely that however we choose to slice the cake, a short head and long tail is still likely to exist.


Comparing author rewards over the past year

To take a shot at this, I've picked 5 the following data ranges and summed up each authors vesting rewards. The liquid rewards (and curation rewards) are ignored in this post.

01/25/2019 00:00:00 - 01/31/2019 23:59:59 -- last week of January 2019 04/24/2019 00:00:00 - 04/30/2019 23:59:59 -- last week of April 2019 07/25/2019 00:00:00 - 07/31/2019 23:59:59 -- last week of July 2019 10/25/2019 00:00:00 - 10/31/2019 23:59:59 -- last week of October 2019 01/25/2020 00:00:00 - 01/31/2020 23:59:59 -- last week of January 2020

First, a chart that has no right in any publication due to its lack of clarity (you may disagree!) - The vested author rewards for week ending 31st January 2019.

The label on the chart is the total vests for the week above for author 25 - who by my reckoning is somewhere around the end of the head and the start of the tail? The chart for week ending 31st January 2020 shows little difference to the naked eye, and so I've grouped authoring accounts into the buckets below to produce the next display.

Top 10, top 20, top 100, top 500.

# Taking the data from Jan 2019 and Jan 2020, the percentage of total vesting rewards has reduced across all the buckets.

The most notable dip in percentage came in the first data range which followed the EIP fork.

The percentage of vests earned by the top 10 and top 20 authors has picked up again in the most recent data set.


Removing @burnpost

The reason the final statement above is true is likely due to the rise in popularity of @burnpost, which was easily the largest receiver of rewards at the end of January 2020.

All rewards received by @burnpost are eventually burned and so although these vests are not available for authors, I thought it was worth (you may think otherwise) running the numbers again without this account included.

w/b - without @burnpost

# Excluding @burnpost, the percentage of vests going to the top 10 authors free to powerdown and cash-out vesting rewards has almost halved.

Whether the removal of @burnpost is meaningful or not is open to debate - the Vests are unavailable - would these vests have previously have been (evenly) spread across authors?


Back to the original data (with @burnpost) and the quote from the whitepaper...

... if we have a million items, then the most popular 100 will contribute a third of the total value, the next 10,000 another third, and the remaining 989,900 the final third.

We don't have a million accounts earning vesting rewards (contributing value?) and .0001% (100/1,000,000) of 6326 (accounts) is just over half an account, and so taking that route doesn't really tell much.

Looking at the total number of vests rewarded and the total number of unique authors receiving them does seem to show a wider distribution (more top authors sharing the first 3rd of value).

The top 165 accounts took (or shared) 1/3 of the author vests in the final week of January 2019, 48 accounts more than in the final week of January 2019.

The number of authors sharing the 'middle 3rd' of the VESTS in January 2020 was less than the number in January 2019, however as percentages, which accounts for the total number of unique authors in each data set receiving vests:


Based on the above, distribution to authors has improved a little?

Cheers

Asher

(10% to @burnpost for the name-dropping extravaganza)

Comments · 20

  • @trendotoken(59)· 2385d

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  • @logiczombie(67)· 2385d

    Do you know what percentage of the "reward pool" is comprised of "below-minimum-payouts"?

    Do you know what percentage of the "reward pool" is comprised of "downvoted payouts"?

  • @steemitboard(66)· 2386d

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  • @paulag(74)· 2387d

    Great data @abh12345. I enjoy looking at this sort of stuff as it keeps me in some sort of loop while I cant do it myself :-)

  • @arcange(79)· 2387d

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  • @fionasfavourites(77)· 2387d

    I confess to finding myself cross eyed with those numbers, Asher, but those trendlines are very interesting.

    What I do know, from my own experience is that the demise of bid bots had had a positive impact on my rewards. My account is minuscule so curation brings little return. For one of my #spud posts at the end of last year, I did a very unscientific analysis of my rewards and there is a definite uptick post EIP. And I'm posting less. I think I'm commenting and upvoting as much, but am more considered and selective of whom I upvote and where I comment. Some of it is because I am no longer in a community that compels me to use some of my upvotes on posts I'd never other wise consider supporting. Nor do I have to respond to comments that are required by the Ts and Cs and, by and large, superficial and inane.

  • @evolved08gsr(58)· 2388d

    You're looking at 4-5 data points across an entire year? Or does your chart actually show monthly/weekly/daily fluctuations?

    Edit: I apologize, you looked at 1 week ranges. That helps a little with the fluctuations of days, but again, cherry picking weeks like this is not a valid form of trending analysis...

    You've cherry picked 4-5 dates that may be the same weekday or may not be the same weekday. If you're comparing Monday vs Saturday vs Wednesday, you're going to see somewhat / drastically different results.

    You also picked USA's Halloween, which is a terrible choice. Postings on that date historically are lower than other days that fall on the same day of week.

    I appreciate the effort, however, you're not providing enough clarity and consistency.. the only valid dates you can actually consider for an analysis like this are Jan 31 and Jan 31, however, as they're likely on different days of the week, you can't rely too heavily on those direct comparisons either ...

  • @freebornangel(72)· 2388d

    Seems pretty close to what was happening two years ago. @statsmonkey says the top ten votes take ~25% of the pool and @bitgeek says the inflation is diluting the whales. https://steemit.com/steemit/@bitgeek/payout-stats-report-for-2nd-november-2017--part-i

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  • @amico(67)· 2388d

    @tipu curate


    A huge hug from @amico! 🤗

    #sbi-skip !trdo

  • @steevc(80)· 2388d

    It's good to learn that there is some improvement in distribution. You will still see certain accounts guaranteed to get double digit dollar rewards for anything they post. I think it is largely down to automated votes for maximum curation rewards, but also partly to reward consistently valuable people such as yourself. I make a bit less, but cannot really complain about the regular votes I get. It's just a bit sad that many of those voters will not have seen my posts. I value the interaction.

  • @azircon(79)· 2388d

    Ok. I am one of those people who asked for this data. So first of all, thank you, Asher. I think this puts to bed the controversy if burnpost is actually useful or not. The only thing that remains in the optics of trending, which we can work on constantly with everyone's help and support.

    Several days back @smooth @pharesim and I (I was mostly an observer :)) had this discussion whether burnpost is good or bad for the economy. I actually have to organize that discussion as a post (I am slacking). Below was smooth's starting hypothesis :

    There are basically three classes of usage rewards/inflation can be allocated to:

    1. Positive (spending $1 results in >$1 contributed back to the value of the system)
    2. Neutral (spending $1 results in exactly $1 contributed value)
    3. Negative (spending $1 results in <$1 contributed value)

    By logic burnpost is basically #2 and on $1+ SBD scenario it is #1. If that is the case, the obvious question is there must be a positive impact of burnpost on :

    1. price of steem
    2. reward distribution along the food chain

    I think #1 here is difficult to prove in short term (should be positive by math in the long term), but Asher has proven that #2 is definitely the case on the "head" of the reward distribution, which is what we want.

  • @bashadow(70)· 2388d

    Are there really so few people actively using steem in an author capacity? 12,000 Jan 2019 down to 6,300 in Jan 2020?

  • @abh12345(80)· 2388d
  • @goldcoin(63)· 2388d

    $trdo

  • @chekohler(76)· 2388d

    Lol Some rewards go to burn post and most of the rewards go to turd posts

  • @revisesociology(82)· 2388d

    Seems like a double win for HF - better distribution and chbartist as gone, powered down, good riddance.

  • @tarazkp(86)· 2388d

    In January 2019, I am assuming that the top 10-20 were mostly all bidbots, whereas I am guessing none are now? So not only has the share decreased, what is up at the pointy end is mostly organic?

  • @josediccus(83)· 2388d

    Well distribution might have increased/improve a bit

  • @meesterboom(81)· 2388d

    Hehe, the name dropping extravaganza!!

    That is good news seemingly. Heck, if you say it is, I'm gonna believe it!