The other replies gave you good examples of how to resolve this. Let me take a stab at your mistake. From a high level, you are assuming the information contained in the scam is the only information the Bayesian has available to use.
As shown a Bayesian has probably got priors about the way the market works, the way people advertise, the existence and nature of scams, etc. The information in the predictions is applied against those priors, not just against itself.
The other replies gave you good examples of how to resolve this. Let me take a stab at your mistake. From a high level, you are assuming the information contained in the scam is the only information the Bayesian has available to use.
As shown a Bayesian has probably got priors about the way the market works, the way people advertise, the existence and nature of scams, etc. The information in the predictions is applied against those priors, not just against itself.