
Abstract Epistemic accounts of luck define luck’s chanciness condition relative to a subject’s epistemic position. This could be put in terms of a subject’s evidence or knowledge about whether the event will occur. I argue that both versions of the epistemic account fail. In §2, I give two types of counterexamples to the evidence-based approach. In §3, I argue—contrary to the knowledge-based view—that an event can be a matter of good or bad luck for a subject even if she knows that it will occur. In §4, I argue that epistemic accounts cannot explain some instances of constitutive luck. Because of these problems, luck’s chanciness condition cannot be adequately defined in epistemic terms.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
