Sometimes called the "Bayesian dogma of precision" -- to any state of nature, you can assign a crisp probability (e.g., https://sipta.org https://sipta.org). F

Sometimes called the "Bayesian dogma of precision" -- to any state of nature, you can assign a crisp probability (e.g., https://sipta.org https://sipta.org). For your disease example -- if you don't know the accuracy of the test ("the model"), and/or if you can't figure out what percent of the population has the disease ("the prior"), then you can't turn the Bayesian crank. Yet, some do, because Bayesian good.