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one solution to this would be randomizing rewards. meaning we'd randomly skew the reward distribution away from the top content by just enough to make recouping one's sacrifice unlikely. but if top content is defined by sats, even skewing away from top content would still slightly reward self-zapping.
another option is to continue using trust but only for rewards.
100 sats \ 2 replies \ @Scoresby 6h
Would another solution be to randomly select one zapper each day who gets the whole days rewards?
This would incentivize creating a multitude of accounts and zapping a little from each, so perhaps there needs to be another qualification: zaps at least a certain amount, or zaps and comments.
I remember when we had the somewhat random rewards function that varied the criteria. Maybe it's that sort of model, but with a random winner function, like a lottery.
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0 sats \ 1 reply \ @k00b 6h
officer, it'd be nothing like a lottery
also, we wouldn't want it to be random in proportion to their persons (which encourages sybils), we'd want it to be random in proportion to sacrifice (no advantage to sybils).
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That difference makes sense.
The truly random option you describe in another comment (#1286158) probably makes more sense. But the dopamine lover in me thinks it would be pretty awesome to take home the whole pot.
I suppose it would be possible that someone figures out an optimal zapping strategy that would lead to a reliable gain of sats (thereby defeating the purpose of Sybil fees).
This could happen with a reward spread out over some random segment as well, but not for a single big winner.
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0 sats \ 0 replies \ @k00b 6h
another option is to make rewards truly random - we'd select a subset of content for the day (like the upper quartile or above the median) then distribute rewards across them at random.
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