PhilArchive
open access
Worm-theoretic Persistence and Temporal Predication
Mark Johnston (2016, 2017) has raised concerns that a worm-theoretic account of persistence through time is incompatible with ethical singularity: that within the life of any actual person, there is only one morally considerable being, namely that person. To deny ethical singularity is to deny a core feature of our ordinary ethical and prudential thinking. The worm theory, Johnston concludes, proves to be “disastrous … for our ordinary moral outlook”. This paper defends the worm theory from Johnston’s argument. Though I agree that the worm theory must deny ethical singularity, it can nevertheless be squared with our ordinary ethical thinking by adopting a temporal counterpart analysis of temporal predication (‘x will be F’, ‘x was previously F’, etc.) for those morally considerable beings involved in a person’s life that are not the person.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Time discounting, consistency, and special obligations: a defence of Robust Temporalism#748964
- Ethical Puzzles of Time Travel#99713
- Qualia as Constraints: A Non-Libertarian Teleological Framework#104473
- Gyeolchok: Ethics of Responsibility and Temporal Delay#733570
- What Time-travel Teaches Us About Future-Bias#754011
Record · ID 764611
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive