I looked into the issue from statistical point of view. I would have to go with much higher than baseline probability of them being sociopaths on the basis of Bayesian reasoning starting with baseline probability (about 1%) as a prior and then updating on the criteria of things that sociopaths can not easily fake (such as e.g. previously inventing something that works).
Ultimately, the easy way to spot a sociopath is to look for the massive dis-balance of the observable signals towards those that sociopaths can easily fake. You don't need to be smarter than sociopath to identify the sociopath. The spam filter is pretty good at filtering out the advance fee fraud... (read more)
I looked into the issue from statistical point of view. I would have to go with much higher than baseline probability of them being sociopaths on the basis of Bayesian reasoning starting with baseline probability (about 1%) as a prior and then updating on the criteria of things that sociopaths can not easily fake (such as e.g. previously inventing something that works).
Ultimately, the easy way to spot a sociopath is to look for the massive dis-balance of the observable signals towards those that sociopaths can easily fake. You don't need to be smarter than sociopath to identify the sociopath. The spam filter is pretty good at filtering out the advance fee fraud... (read more)