The Tiger Paradox
The Tiger Paradox, also known as “Mere Addition Paradox”, is a thought experiment which explores the relationship between probability and logic. It goes something like this:
Suppose there are two tigers, one white and one black. Now, assume that the probability of a white tiger is 90%, while the probability of a black tiger is 10%.
Now, if you were to pick one of the tigers randomly, what would be the probability of it being a black one?
Most people would assume that the answer is 10% because that is the probability of a black tiger, however, that is wrong. In fact, the probability of picking a black tiger is actually 18%.
To understand why this is, we must first look at what probability actually is. Probability is a measure of how likely something is to happen. In this case, the probability of picking a black tiger is what we call the “complement” of the probability of picking a white tiger.
In other words, it is the percentage of the other thing that will happen. Therefore, the complement of 90% is 10%, which is the probability of picking a black tiger. However, the probability of picking either a white or black tiger is not 90% + 10%, but rather 100%, which means that the probability of picking a black tiger is actually 18%.
This paradox can be explained further by considering the three possible outcomes when selecting a tiger. We can either pick a white tiger, a black tiger or neither. Since the probability of selecting a white tiger is 90% and the probability of selecting a black tiger is 10%, that leaves 100-90-10=0 for the probability of neither.
In other words, the probability of either a white or a black tiger is 100%, which means that the probability of picking a black tiger is actually 18%.
The Tiger Paradox shows us that when considering probability and logic, one must be careful to consider all the possibilities. It can be easy to overlook the smaller probabilities when thinking in terms of two larger probabilities, as we have seen here. Therefore, it is important to consider all the factors and possibilities when looking at probability and make sure we are not overlooking a less obvious third option.