The assumption “You don’t know how long the company has been around or where in the chain you are” seems unrealistic/contrived, much like the assumption of “synchronized RL” in your previous argument. Again this seems like it’s not going to be very convincing to a skeptic, at least without, for example, a further argument for why the assumption actually makes sense on some deeper level.
Aside from that, here’s a counter-argument: among all fields of research, math is probably one of the hardest to corrupt, because publishing theorems require proofs which can be checked relatively easily and if frauds/errors (false theorems) creep into the literature anyway, eventually a contradiction will be derived and the field will know something went wrong and backtrack to find the problem. If fear of acausally corrupting the current state of the field is the main reason for refraining from doing fraud, then math ought to have a higher amount of fraud relative to other fields, but actually the opposite is true (AFAICT).
The assumption “You don’t know how long the company has been around or where in the chain you are” seems unrealistic/contrived, much like the assumption of “synchronized RL” in your previous argument. Again this seems like it’s not going to be very convincing to a skeptic, at least without, for example, a further argument for why the assumption actually makes sense on some deeper level.
Aside from that, here’s a counter-argument: among all fields of research, math is probably one of the hardest to corrupt, because publishing theorems require proofs which can be checked relatively easily and if frauds/errors (false theorems) creep into the literature anyway, eventually a contradiction will be derived and the field will know something went wrong and backtrack to find the problem. If fear of acausally corrupting the current state of the field is the main reason for refraining from doing fraud, then math ought to have a higher amount of fraud relative to other fields, but actually the opposite is true (AFAICT).