Conditional probability
Named by 3 essays across one field — each of them below, with the objects they name alongside it.
Bayes' theorem is a picture of a square
A test that is 99% accurate returns a positive result. The chance it is right can easily be under one in five, and the reason is visible the moment the population is drawn as a square rather than described as a formula.
The door that was not opened
Three doors, one prize, a host who opens a losing door and offers a swap. Switching wins two times in three, and the reason is not about doors — it is about what the host was allowed to do.
When to stop looking
Candidates arrive one at a time in a random order. Each must be accepted or rejected on the spot, with no going back and no way to know what is still to come. The best possible rule is to look at about a third of them and then take the first one that beats everything seen — and it works about a third of the time, however many there are.
Named alongside it
The objects these essays reach for when they reach for this one.
AreaBayes' theoremCounting argumentBase rateDecision proceduree, the numberExpectationFalse positiveHarmonic seriesIndependenceIrrevocable decisionLikelihood