PHI 31 Lecture Notes - Lecture 15: Necessity And Sufficiency
Document Summary
If a is correlated with b, then b is correlated with a. Ex: traffic jams in the valley don"t cause it to snow in the mountains. Some ideas about the asymmetry in causation. Temporal order: causes occur before their effects (or at least not after their effects) Power: causes produce or make effects happen. Probability: causes raise (or alter) the probability of their effects. Modal/counterfactual support: if c were to iccur, then e would occur. Ex: striking a match in order for it to light. Ex: striking a dry match on a hard surface with oxygen present. Inus condition view: c is inus for e. Causes are neither necessary nor sufficient for their effects. A cause, c, of na effect, e is . An insufficient but nonredundant part of an unnecessary yet. Ex: striking a match causes it to light.
