Here is a break down using the current reward pool.
Single 100% vote reward allocation.
| 500,000 SP | 50,000 SP | 5,000 SP | |
|---|---|---|---|
| n^2 | 2.688 STEEM | 0.026 STEEM | 0.000 STEEM |
| linear | 24.973 STEEM | 2.497 STEEM | 0.249 STEEM |
Part of the reason the rewards are higher for the 500,000 SP is that the rewards allocation algorithm responds faster than with n^2. This data is as if we had implemented linear rewards in 0.17.0 and the rewards pool is further recovered. However, you can see the different if you look at marginal percentage changes in the vote weights.
I was on my phone before so I could not respond as thoroughly as I would have liked to. I sincerely appreciate what you are doing here today. Not only did you provide a great explanation to my question, you are doing it for everyone's questions. Every time I think I may have a new question, I scroll through these comments and see that not only did someone already ask it, but you provided an answer that even a layman like me can understand.
Thank you for taking the time to help educate the community about this. Confusion can be an unpleasant feeling and you are doing a lot to remedy that.
Haha, I just experienced that too.
Thank you so much for doing this! This is exactly what I was wondering about.
Currently, we are in "linear" or "n ^ 2"?
n^2. We are proposing linear.
Ha, it's going to attract people if we do.
And it will motivate me.