Combining Texts

All the ideas for 'Bayesianism', 'Causes and Counterfactuals' and 'Capitalist Realism'

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10 ideas

14. Science / C. Induction / 6. Bayes's Theorem
Probability of H, given evidence E, is prob(H) x prob(E given H) / prob(E) [Horwich]
Bayes' theorem explains why very surprising predictions have a higher value as evidence [Horwich]
24. Political Theory / C. Ruling a State / 4. Changing the State / a. Centralisation
Big central government only exists as a focus for anger - not to act [Fisher]
24. Political Theory / D. Ideologies / 11. Capitalism
It is hard to imagine the end of capitalism [Fisher]
25. Social Practice / E. Policies / 5. Education / a. Aims of education
Are students consumers or products of education? [Fisher]
26. Natural Theory / C. Causation / 1. Causation
Causal statements are used to explain, to predict, to control, to attribute responsibility, and in theories [Kim]
26. Natural Theory / C. Causation / 9. General Causation / c. Counterfactual causation
Many counterfactuals have nothing to do with causation [Kim, by Tooley]
Counterfactuals can express four other relations between events, apart from causation [Kim]
Causation is not the only dependency relation expressed by counterfactuals [Kim]
26. Natural Theory / D. Laws of Nature / 9. Counterfactual Claims
Many counterfactual truths do not imply causation ('if yesterday wasn't Monday, it isn't Tuesday') [Kim, by Psillos]