I read the Leofinance post and found this answer:

A higher standard deviation % = the majority of upvote power is clustered around the same creators.

A lower standard deviation % = upvotes are more spread out to unique accounts.

The difference between these standard deviation figures and the previous section (number of unique authors) is in the vote weight of the upvotes distributed. The chart below ranks curators essentially by the total weighting of their upvotes and how widespread they curate.

In the following chart, @oldtimer is ranked #1 as he has the lowest standard deviation of upvotes which means that he is spreading his total upvote power amongst the widest set of authors relative to every other curator on the platform.

I hope this helps, I read this article and then the Leofinance one, then read this one again. Then I felt like I understood it!

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