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How can irregular causal generalizations guide practice?

机译:不规则因果归纳法如何指导实践?

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In this essay, I shall be concerned with the sort of "irregular" causal generalizations that epidemiologists aim to discover. Examples include "Smoking causes lung cancer," "HIV viruses cause AIDs," or "Low dose aspirin prevents strokes." What do these claims mean and how should they guide action? I argue that philosophers have mistakenly believed that answering these questions calls for a theory of what it is for one event to be a probabilistic cause of another. But this theory fails to provide plausible truth conditions for irregular causal generalizations. Indeed, it implies that most of them are false. I sketch a more plausible view, but point out the risks one takes in relying on these generalizations to guide action.
机译:在本文中,我将关注流行病学家旨在发现的“不规则”因果概括。例子包括“吸烟引起肺癌”,“ HIV病毒引起艾滋病”或“低剂量阿司匹林预防中风”。这些主张意味着什么,它们应如何指导行动?我认为哲学家错误地认为,回答这些问题需要一种理论,即一个事件是另一事件的概率原因。但是,该理论无法为不规则因果归纳提供合理的真理条件。确实,这意味着它们大多数都是错误的。我画出了一个更合理的观点,但指出了依靠这些概括来指导行动的风险。

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