Have you read signal/noise theory? That a signal isn't perfect (that it contains false positives or positive falses in case of binary signals, or that it has a delta between the signal and the underlying phenomenon) doesn't mean that it carries no information.

For example if I cry wolf 50% of the time, but 100% of the times there's a wolf I cry wolf. Then no matter what the frequency of wolf sightings are, my crying wolf carries some information (unless there's always a wolf). Assume there's a wolf 1% of the nights, then I will cry wolf 50% of the time, and you only need to check for a wolf 50% of the nights rather than 100%.

It's worth noting that there's still technically signal even if I sometimes miss a wolf, even if you may choose to ignore that signal in order to pursue 100% accuracy yourself.

It's more like: you work as an animal spotter, and if you tell people you saw a hamster, you'll get no glory. So obviously you spotted a direwolf at least 12 feet tall.