Conditional probability
Brainteasers & GuesstimatesThe probability of one event given that another is already known to have happened, which changes the denominator rather than the arithmetic.
Also written: conditional probabilities
A conditional probability asks what share of the cases satisfying one condition also satisfy another. Written P(A given B), the condition B does not adjust the answer, it replaces the population the answer is measured against. Every conditional probability question is a question about which denominator you are standing in.
That is why the effect can run either way. Conditioning can raise a probability, lower it, or leave it alone, depending entirely on how the condition interacts with the event. There is no rule of thumb, which is precisely why the arithmetic has to be done rather than intuited.
The single most important property is that the order is not symmetric. P(A given B) and P(B given A) are different fractions over different denominators, and in the cases interviewers like they differ by a factor of three or more. The two sentences are made of the same words, which is what makes swapping them so easy.
In practice, the fastest defence is to say the denominator out loud before computing anything. Out of the borrowers who were flagged, or out of the borrowers who defaulted, are different starting populations, and naming which one you are in usually resolves the question before any multiplication happens.
Worked example
Roll two fair dice. The chance of at least one six is 11 in 36.
Now condition on the sum being even. Only 18 outcomes remain, and the ones containing a six must pair it with an even number, so only (6,2), (2,6), (6,4), (4,6) and (6,6) qualify.
The answer falls to 5 in 18, about 27.8%, because conditioning deleted every outcome pairing a six with an odd number. The denominator moved, not the arithmetic.