RE: Earning potential analysis for curator/author on all audio/video dapps on the Steem blockchain
Hi @silentscreamer, welcome to Utopian, impressive work! From Utopian perspective this is not a perfect fit, but is getting close already. Utopian is currently meant for contributions to a single open source project, so let's treat this as an analysis for steem as a whole instead of the individual (and partly closed source) apps. As pointed out by other comments, the assumptions with being the only voter after the reverse auction time and before the (known to be coming) platform vote are not achievable in reality, but very interesting as a case study!
I quickly went over the calculations in the spreadsheet, but I may be missing some steps. The dtube beneficiary share is deducted from the author reward share at payout. From D8 it seems like you take it from the full vote value?
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Yes. I had a few talks with abh12345 and he explained a few things. We tried to streamline it as best as possible but there were so many variables here to take into account hopefully we managed to get as close as possible. This does include 3 projects, 2 of which are opensource and a comparison between them. Since assumptions were made before we pulled the stats without going the route with multiple projects we wouldnt be able to show much. Once we took 3 subjects we could clearly show the relative differences in strengths and weaknesses based on values picked under the conditions set.
We tried to set the conditions based on best case/common case scenarios. These numbers here are achievable, but they arent there to show: "Do this and you will earn this much"... The intention was to show some ceiling, or close to ceiling numbers (in case of curator) to show what direction should be taken to maximize profits. And i think we did that well.
I will link @eonwarped so he can answer that question. I wrote the post, set up the scenarios and values needed, he was using SQL and doing the calculations.
Ah, my mistake! That is a good catch! So that means the beneficiary data is inflated and should be scaled by an additional .75 factor, and the scaling used to estimate the author for both dtube and dsound will need slight adjustments (as you say, with the early votes this estimate will be further off depending on what happened on the post).
I'll go ahead and do that now and let @silentscreamer know.
@silentscreamer
It doesn't change the conclusions thankfully, but here are the specific adjustments to the data:
Dtube
Dsound