People disagree over probability because it isn't easy to understand. I mean which of these is correct?
1. Probability is a priori. e.g. Given equal chances of a die side turning up the probability of a 6 is 1/6 (no empirical calculation is required as this is a logical truth).
2. Subjective (Bayesian) probability. Probability is measured by our degree of belief in a particular outcome rather than anything having to do with the events themselves.
3. Frequency: Probability is measured by the proportion of the desired results over the total results in the long run (however one is supposed to measure that).
4. Realist probability: God plays dice. There is randomness built in to the very fabric of the world.
All of these have compelling reasons for themselves and against the others - it just doesn't seem a well understood concept.
1. Probability is a priori. e.g. Given equal chances of a die side turning up the probability of a 6 is 1/6 (no empirical calculation is required as this is a logical truth).
2. Subjective (Bayesian) probability. Probability is measured by our degree of belief in a particular outcome rather than anything having to do with the events themselves.
3. Frequency: Probability is measured by the proportion of the desired results over the total results in the long run (however one is supposed to measure that).
4. Realist probability: God plays dice. There is randomness built in to the very fabric of the world.
All of these have compelling reasons for themselves and against the others - it just doesn't seem a well understood concept.
Comment