Probability > Objective Probability

## What is Objective Probability?

**Objective probability** (also called* frequency probability*) is associated with random events like die rolls, choosing bingo balls, or your numbers coming up in the lottery. The term is mostly used in philosophy as a philosophical interpretation of probability, rather than a process itself.

The term “objective probability” is open for debate. Maher (2007) notes that “Since inductive probability is also objective, this is poor terminology.”

## Other Interpretations of Probability

Other interpretations for probability include:

**Best-System Interpretations:**these interpretations state that probability isn’t a fundamental physical quantity, but rather a statistical summary of actual outcomes (Schwarz, 2014).**Classical Probability**: a simple form of probability that has equal odds of something happening. For example: Rolling a fair die. It’s equally likely you would get a 1, 2, 3, 4, 5, or 6.**Logical probability:**objective, logical relations between propositions. They don’t depend on an individual or collective belief at all.**Subjective probability**: Subjective probability is where you use your opinion to find probabilities. For example: There’s a 90% chance of your mother calling today, because her car broke down over the weekend and she’ll need a ride to the doctor.**Propensity Interpretations:**probability is found in the real world rather than in the theoretical realm of our heads. It involves outcomes for actual physical situations.

## References

Eells, E. (2010). The Place of Probability in Science. Springer.

E. Szabó, László (2007) Objective probability-like things with and without objective indeterminism. [Preprint]. Retrieved May 30, 2019 from: http://philsci-archive.pitt.edu/3956/

Alan Hájek. Interpretations of Philosophy. Article posted on website Stanford Encyclopedia of Philosophy. Retrieved May 30, 2019 from: https://plato.stanford.edu/entries/probability-interpret/

Maher, P. (2007). Lecture $: Explication of Physical Probability. Retrieved May 30, 2019 from: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.296.7098&rep=rep1&type=pdf

Schwarz, W. (2014). Best System Approaches to Chance. Retrieved May 30, 2019 from: https://www.umsu.de/papers/bsa.pdf

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