Saying that "statistics is the ultimate language of the brain" doesn't imply that the brain always performs statistical calculations correctly. In fact finding

Saying that "statistics is the ultimate language of the brain" doesn't imply that the brain always performs statistical calculations correctly. In fact finding the true correct Bayesian answer is probably computationally infeasible for all but the simplest problems. We already have this problem with artificial neural networks, which are still much simpler than the networks in the brain. ANN's have recently achieved significant successes and approach or exceed human performance on some tasks. They still however make mistakes and no one is claiming that they represent the optimal Bayesian solution, they are just the best solutions that we have so far been able to find. I think the same thing happens in the human brain but can lead to behavior that is much more extremely erroneous due to the greater complexity of the brain as well as that of the domains to which it finds itself applied. But that doesn't mean that the brain isn't based on statistical models anymore than the fact that ANN's aren't perfect means that they are not statistical models. They are statistical models but they are heuristic models, not perfect models.