I think you might be missing btilly's point. He is saying that the testing protocol should factor in the cost of being wrong. These costs might be drastically different for a business and for a scientific pursuit.
If A is ahead of B by a hair and the my flawed protocol chooses B the cost to business might not be that high. But the same protocol might not be a good one if the cost of making that mistake is very high. The probabilities of the errors remain the same for the two scenarios, the expected costs are different.
If A is ahead of B by a hair and the my flawed protocol chooses B the cost to business might not be that high. But the same protocol might not be a good one if the cost of making that mistake is very high. The probabilities of the errors remain the same for the two scenarios, the expected costs are different.