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Full Idea
The Bayesian approach is outspokenly subjective: probability is used for quantifying a scientist's subjective degree of belief in a particular hypothesis. ...It just provides sound rules for learning from experience.
Gist of Idea
The Bayesian approach is explicitly subjective about probabilities
Source
Reiss,J/Spreger,J (Scientific Objectivity [2014], 4.2)
Book Ref
'Stanford Online Encyclopaedia of Philosophy', ed/tr. Stanford University [plato.stanford.edu], p.19
| 22353 | One view says objectivity is making a successful claim which captures the facts [Reiss/Sprenger] |
| 22356 | An absolute scientific picture of reality must not involve sense experience, which is perspectival [Reiss/Sprenger] |
| 22357 | The 'experimenter's regress' says success needs reliability, which is only tested by success [Reiss/Sprenger] |
| 22359 | Topic and application involve values, but can evidence and theory choice avoid them? [Reiss/Sprenger] |
| 22360 | The Value-Free Ideal in science avoids contextual values, but embraces epistemic values [Reiss/Sprenger] |
| 22362 | Value-free science needs impartial evaluation, theories asserting facts, and right motivation [Reiss/Sprenger] |
| 22364 | Thermometers depend on the substance used, and none of them are perfect [Reiss/Sprenger] |
| 22365 | The Bayesian approach is explicitly subjective about probabilities [Reiss/Sprenger] |