Went through nip65, gossip, this podcast and your doc - looks like a great way to beat algo and still increase followings and user adoption. I think how paid relays operate would impact this model differently - for example if they only read and write and don’t push the event to the relay list, then adoption would degrade. Also the 2nd /3rd degree follower restrictions would reduce the reach. And for ppl who don’t follow others as much (passive contributor) but rather read contribution based on topics of interest, maybe interest-based relays or search function, might add value - something else to the mix . I went back to Twitter after a long gap because of the selection by interest. But very interesting growth vision by Mike. Thanks for sharing!

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Another scenario - if person A has all paid relays and person B has free relays, some of their 2nd & 3rd degree friends will not be able to view each posts - if, for example, events are not published to the relay list or for other reasons.

An experiment is to set a new npub, follow a few Ppl, add common relays and only read from paid relays. Look for a high following profile and compare from this ‘new npub’ vs that high profile’s npub - you might notice some posts missed out and not all people unaccessible via this “new npub”. My worry is current mix will slow down global adoption instead of improve it