PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 29, 2026The Journal of Ethics0 citationsOpen Access

Misfortune and Missing Out

AFAnna Folland

Key Points

  • The paper aims to analyze why death is considered a misfortune compared to other negative events like not winning the lottery.
  • Critical analysis of existing counterfactual theories related to misfortune and harm
  • Examination of Kaila Draper's challenge regarding death and lottery outcomes
  • Discussion on the implications of these theories for understanding harm
  • Proponents of the counterfactual understanding of badness face challenges that their solutions cannot adequately address.
  • The analysis highlights the distinct nature of death as a misfortune compared to other negative experiences.
  • Insights from the discussion prompt reevaluation of the Counterfactual Comparative Account of Harm.

Abstract

Abstract The badness of death is often understood in counterfactual terms: a person’s death is bad for her to the extent that it deprives her of the benefits of life, which she otherwise would have enjoyed. However, things that are bad in this sense do not always seem to be misfortunes or worthy of negative emotional responses . Kaila Draper (1999) raises a challenge for proponents of this counterfactual understanding of badness: given that both death and, say, not winning the lottery are bad in the same way, explain why only the former is a misfortune. The first aim of this paper is to argue, despite the ingenuity of suggested solutions, that the solutions fail. Second, I show that the discussion of death’s misfortune teaches us valuable lessons about the concept of harm : parallel to Draper’s challenge, a new challenge targets the prominent Counterfactual Comparative Account of Harm (CCA).

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Anna Folland (2026) studied this question.

synapsesocial.com/papers/6a192f1bfab5b468c44186a1https://doi.org/10.1007/s10892-026-09558-8
Ask AI
Helpful
Bookmark
Share
View Full Paper