In other words, the theory states that when an inaccurate assumption is made about the likelihood that an event will occur, a profit opportunity will arise for an intermediary.
For example, assume there is one insurance company and 100 people in a given house insurance market. If the insurance company predicts that the probability that a homeowner will need insurance is 5%, but all homeowners predict that the probability of needing insurance is 10%, then the insurance company can charge more for home insurance. This is because the insurance company knows people will pay more for insurance than what will be needed. The profit comes from the difference between premiums charged for insurance and the costs the insurance company incurs through settling insurance claims.