Sometimes we can use conditional probabilities to draw some conclusions about the causes of events.

So, results may give us information about causes.

For the problem of predicting the risk of desertification of a burned forest, if left to regenerate on its own, we may present causes and effects in a diagram like this:

For example, if somebody tells us that some burned forest has good Regeneration Potential, we may guess that it probably will run low risk to become arid land and that it probably has deep soil, and no grazing animals near it.