If the information was worse than expected, then they tended toadjust their estimate much less (if theaverage likelihood was really 40%, and they estimated 10%, they might adjustto only 15%), which suggests that they were largely ignoring the new information.
For example if they had predicted that their likelihood of being robbed was 30%, but theaverage likelihood was actually 20%, they might adjust their estimate to 22%.