Your scenario assumes a trustworthy server that won’t manipulate the secretly held ledger of throws - it also doesn’t seem resilient to even a single bad actor client as there isn’t a clear way for the server to choose a result (though maybe your imagining everyone submitting a 1 or 0, summing those numbers and then mod 2ing the result?)
Edit, actually to that point OP - it’d help to know what lack of trust we’re optimizing for - the comment above (assuming the mod2 approach) would work for a very large untrusted pool of servers as long as you fully trust one arbitrator server - while other concensus based approaches would work better for a network of servers that are mostly trust worthy but contain a proportion of untrustworthy servers.
Let’s break out some scenarios, I’ll assume we are always an honest actor…
Scenario 1, the data is all collated and published - you look at the ledger and see the value you reported is accurately recorded in the ledger… you poll other servers and they all also report that the inputs were accurate, you also take the ledger and re-evaluate the result and it matches what the server reported. What action should be taken? How many bad actors exist? Is the server a bad actor?
Scenario 2, the server collects and reports the data, the ledger looks right to you, but one server reports that their value was manipulated. The ledger does match the computed value though and it’s currently 1, should it be 0 instead? What action should be taken? How many bad actors exist? Is the server a bad actor?
Scenario 3, the server collects and reports the data… 70% of clients report manipulation, the ledger is consistent, though. What action should be taken? How many bad actors exist? Is the server bad actor?
Your scenario assumes a trustworthy server that won’t manipulate the secretly held ledger of throws - it also doesn’t seem resilient to even a single bad actor client as there isn’t a clear way for the server to choose a result (though maybe your imagining everyone submitting a 1 or 0, summing those numbers and then mod 2ing the result?)
Edit, actually to that point OP - it’d help to know what lack of trust we’re optimizing for - the comment above (assuming the mod2 approach) would work for a very large untrusted pool of servers as long as you fully trust one arbitrator server - while other concensus based approaches would work better for a network of servers that are mostly trust worthy but contain a proportion of untrustworthy servers.
But the hosting/tabulating server could publish the data afterwards, make it all public.
Let’s break out some scenarios, I’ll assume we are always an honest actor…
Scenario 1, the data is all collated and published - you look at the ledger and see the value you reported is accurately recorded in the ledger… you poll other servers and they all also report that the inputs were accurate, you also take the ledger and re-evaluate the result and it matches what the server reported. What action should be taken? How many bad actors exist? Is the server a bad actor?
Scenario 2, the server collects and reports the data, the ledger looks right to you, but one server reports that their value was manipulated. The ledger does match the computed value though and it’s currently 1, should it be 0 instead? What action should be taken? How many bad actors exist? Is the server a bad actor?
Scenario 3, the server collects and reports the data… 70% of clients report manipulation, the ledger is consistent, though. What action should be taken? How many bad actors exist? Is the server bad actor?