While it's great that the auto-follow list is no more, the damage has already been done in that any (off-the-shelf) influence-driven algorithm will heavily skew to favor accounts that were on that list.. unless proper adjustments have been made

And if you're developing your own proprietary influence-driven algorithm, it's imperative to take this into account cc: @betashop.eth

Some food for thought for the @openrank & @airstack.eth teams..

Specific to OpenRank's Following Rank + Airstack's Far Score: excluding accounts that have never casted (there are 200K+!) from your respective algorithms (when looking to the followers of an account) will help alleviate the skew which heavily favors accounts that were on the auto-follow list

The official account for Airstack, developer of @moxie-protocol. airstack.xyz. On a mission to grow the Farcaster GDP.

Some food for thought for the @openrank & @airstack.eth teams..

Specific to OpenRank's Following Rank + Airstack's Far Score: excluding accounts that have never casted (there are 200K+!) from your respective algorithms (when looking to the followers of an account) will help alleviate the skew which heavily favors accounts that were on the auto-follow list https://warpcast.com/geoffgolberg/0x82ad8678

I like running, poker and oysters | Founder, Social Forensics (SocialForensics.com) | Berkeley & UPenn | Learning to listen

yes good suggestion on filtering out inactive users. will explore if we can do a quick experiment with this. 
on the other hand, the engagement ranking takes care of this already - is uses a combination of follows along with all other engagement metrics