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).
It doesn't change the conclusions thankfully, but here are the specific adjustments to the data:
Dtube
Curator curation from from beneficiary goes from 2.132 to 1.6, total curation from 6.999 to 6.466, ROI from 86% to 75%, and annual estimates from 25547 to 23601.87.
Author portion goes from 17.95 to 20.19
Top 15% numbers, total goes from 13604 to 15304.74, average goes from 223 to 250.90 and annual average goes from 2713 to 3052.59.
Dsound
Author portion goes from 6.58 to 7.40
Top 15% numbers, total goes from 5682 to 6392.47, average goes from 167 to 188.01 and annual average goes from 2033 to 2287.50.
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