Consider a Bayesian binary decision-making problem in star networks, where local agents make selfish decisions independently, and fusion agent makes final decision based on aggregated its own private signal. In particular, we assume all have beliefs for the true prior probability, which they perform making. We focus Bayes risk of counterintuitively find that incorrect could achieve smaller than...