So first I went through every steemstem distilled since january 14th and copied the list of names (as we list the names of people upvoted by both steemstem and curie)

After that I wrote a quick script that looked through all of the names and listed them alphabetically along with removing duplicates. Then I sent it to another script that downloaded the users account from steem (as shown in my previous post) and calculates their steem power, then it writes it to the file aasp.txt in the form of:

[username] [steem power]

Then with the script I open it up and analyze it statistically. I could have wrote it all into one *.py file but because I wanted to keep the operations modular and didn't want to have to spend too much having to deal with handling command line arguments (and I do not want to redownload the profiles every time it runs) so I just keep separate files.

So I made the aasp.txt file.

Wealth distribution on steemit follows <a href="https://en.wikipedia.org/wiki/Zipf%27s_la>w"Zipf's law on application to an N-Person Prisoners Dilemma. I mean theoretically the wealth distribution will limit to an application of Zipf's law, it will not fit perfectly but still, I mean you are right that that has a logarithmic nature to it. A better read on that is the white paper located here but yeah.