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Yes, I understand this, but physical experiments are not about decision making but to figure out, how Nature behaves, and there I need to gain "enough statistics" in any experiment.It's the practice of decision making I'd assume. Even if you only play Russian roulette once, it's better to play with one bullet in the chamber than with 3. Usually this kind of decision making is connected to measurement with the notion of bets. Qbists see probabilities as instructions for betting on measurement outcomes.

As an application take the weather forecast: If they say, tomorrow there's a 30% probability for rain, it's clear that this means that experience (and models built on this experience) tells us that in about 30% of equal or sufficiently similar weather conditions it will rain, and I can base a decision on this whether I take the risk to plan a garden party or not, but to figure out reliable probability estimates with some certainty you need to repeat the random experiment and use the frequentist interpretation of probabilities, and that's also well established within probability theory ("central limit theorem" etc.).