# Two faces of probability

One of the curious features of probability is that in everyday speech it is used in two rather different circumstances: first, when there is some essential randomness, and second, when our uncertainty is due to lack of knowledge.

This central ambiguity is what Hacking (1975 p.12)

This “Janus-faced” aspect of probability is an issue that is still far from resolved, though in most practical applications of probability the distinction does not make much difference as the mathematics is unaffected. But two rival schools of statistics, known as "frequentist" and "Bayesian", broadly follow from the two different philosophical interpretations (though the precise relation between the statistical work on Bayesianism and frequentism and their philosopical interpretations of the same name are slightly complicated and the statistical schools should not be directly equated with the philosophical interpretations.)

The two faces are a feature of almost any discussion on the philosophical foundation of probability. Unfortunately philosophers have not been consistent in naming them. One of the options is to follow Karl Popper *objective* and a *subjective* side. Hacking (1975) instead talks of “aleatoric” probabilities (derived from the latin word for dice), and “epistemological” probabilities (epistemology meaning the study of how we find out about the world). Gillies (1973)

As an illustration of the two interpretations, the early 19th century mathematician Laplace gives an interesting example of the two faces of probability which I think neatly illustrates the quite considerable effect that philosophical interpretation can have on the estimation of probability. Imagine I am given a coin that I am told is biased, though I don't know which way. What should be my assessment of the probability of throwing heads? According to a subjective interpretation, since I have no reason to favour one side or the other, I should give it a probability of ½. On the other hand I can interpret the probability as something objective and inherent in the situation. Since I know the coin is biased, but I don't know which way, I simply can't say what the probability is; I can however say that it definitely is not ½. (Example quoted in Gillies 2000)

Probabilities that we face in everyday life are often combinations of the two types of probability, depending on the circumstances and individual interpretation. Consider the following questions and try to decide whether the uncertainty in each situation is aleatoric (essential randomness) or epistemic (due to our insufficient knowledge of the situation) , or possibly a combination of the two.

- Which numbers should I choose for the lottery?
- Which lottery scratch-card should I buy?
- Was there a conspiracy to kill Princess Diana?
- What cards will I have in my bridge hand?
- Should I draw another card in blackjack?
- Has this patient got cancer?
- Might I have a stroke or heart attack in the next 10 years?