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From a preliminary ~12h sample of #bluesky / #atprotocol , a small number of accounts receive most interactions. This is an obvious byproduct of the way the default algorithmic feed prioritizes posts.

- 5% of accounts received 72% of likes, 1% of accounts received 41%
- The top 5% of accounts make 48% of posts
- 37% of accounts receive no interaction
- The median account received 1 like.

Just a quick, incomplete look, but ya looks like an engagement farm
Line graph showing the cumulative sum of likes on the y axis vs. accounts on the x axis. Vertical lines indicate different quantiles of likes per account (0.25, 0.5, 0.75, 0.9, 0.95, and 0.99)

The line hovers near zero for the first two-thirds of the graph, but starts to increase around the 0.75 quantile. at 0.9 it is at ~100,000, and then the line rises sharply to its maximum at ~450000 through the 0.95 and 0.99 quantiles. 

If the network was "flat" where everyone received the same amount of interaction, the line would be a straight, diagonal line. The amount of convexity in the line indicates the degree to which the network's interactions are concentrated on the top accounts.