Let's say we have a group of 1000 animals: 900 rabbits and 100 foxes.
We also know that there are about 10 crimes happening every year and for every crime there's 50% chance of it being committed by a fox.
Then according to Bayes' formula:
P(fox is a criminal) = P(criminal is a fox) * P(animal is a criminal) / P(animal is a fox) = 0.5 * 0.01/0.1 = 0.05 = 5% chance for every given fox to be a criminal.
For every given rabbit the same formula gives 0.5 * 0.01/0.9 which is roughly 0.6%.
Nevertheless, if you want to find a kangaroo in a wild, heading to Australia, would probably be your best bet.
Incels have killed more people than Islamic extremists in the US in the last decade.
Research says drug usage rate is similar for black and white people in the US, but prosecution and conviction rates are not[1]
1. http://www.hamiltonproject.org/charts/rates_of_drug_use_and_...
// Assuming the police are not incompetent, of course, which may not hold in your hypothetical world where they investigate non type X people for terrorism even though they commit zero percent of terrorist attacks - probably out of some misguided diversity quota or affirmative action policy, I assume? ;)