Let's suppose, for instance, that two roads diverge in a yellow wood and you have reliable information that road A is the correct path with 90% probability and road B is the correct path with 10% probability. The normal person takes road A and will be right 90% of the time.
On the other hand, if you try to be probabilistic about it and follow road B with 10% probability to reflect its 10% probability of being the right road, then your chances of picking the right road are 0.90.9 + 0.10.1 = 82%.
Maybe there's a more complex situation where the weighted random decision making is a better idea, but I'm not seeing it right now.