Defending Bayes, Part 3
Summary
Sharpens distinction between scientific (explanatory) and empirical (timeline) knowledge. Part 1: Scientific knowledge = universal theories (QM, evolution, relativity), evaluated via coherence/simplicity/criticism, not Bayesian updates, applies across all timelines. Part 2: Empirical knowledge = probabilistic, timeline-specific facts (diagnoses, weather, history), quantified by credence, updated via Bayes. Part 3: Sharpness matters—misapplying Bayes to theories = error Deutsch/Hall identify. Part 4: Hybrid cases = parameterized theories (cosmological constants), historical interpretations (blend framework + contingency). Part 5: Other categories = formal/mathematical (a priori), tacit/embodied (skill-based). Comprehensive epistemological taxonomy clarifying when/where Bayes applies.
Tags
Cross-References
- Backward: Defending Bayes, Part 2
- Forward: Defending Bayes, Part 4
- Related: Pancritical Rationalism
Notes
- Taxonomy/categorization post
- Includes helpful diagrams (mentioned but not visible)
- Addresses hybrid/boundary cases
- Comprehensive epistemological framework