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Assuming two miners have a (1/x) chance of finding a block over some time period, is the probability of both miners finding a block within that period simply (1/x^2)?
More generally, would n miners with equal hash rates have a (1/x^n) chance of all finding blocks within some time period of each other?
This is for a research project where mining probabilities are being factored into a simulation, and I'm not sure if certain configurations are eliminated when the first miner finds a block (ie they would be dependent events)
Would it make sense to use a Poisson distribution here? The idea is that you could assume a block is found every 10 minutes on average, so the chances of finding two blocks within 60 seconds is something like 0.45%. Of course this seems like a pretty generous upper bound assuming a network without any adversarial nodes purposely not propagating solutions. And I guess there is also the external consideration that this refers to two blocks in one minute, and not necessarily two blocks that have the same parent (ie a fork) – user97236 – 2019-07-25T23:55:05.350
@user97236 yes, mining can be modelled as a Poisson process. I'd agree about the external consideration of whether two blocks being found have the same parent or not, but this externality will not affect the probabilities of finding some block, just the higher-level condition of block competition/validity. – chytrik – 2019-07-26T02:33:23.013