PhilArchive
open access
Safety, Evidence, and Epistemic Luck
This paper critically explores Timothy Williamson’s view of evidence, and it does so in light of the problem of epistemic luck. Williamson’s view of evidence is, of course, a crucially important aspect of his novel and influential “knowledge-first” epistemological project. Notoriously, one crucial thesis of this project is that one’s evidence is equivalent to what one knows. This has come to be known as the E = K thesis. This paper specifically addresses Williamson’s knowledge-first epistemology and the E = K thesis in the context of anti-luck epistemology and the idea that knowledge is factive. Williamson’s views on these matters are worth investigating in some detail because he subscribes to a well-worked out anti-luck view of knowledge that incorporates what is perhaps the most common anti-luck condition. But this paper is also of more general importance because the critique of Williamson’s views on these matters reveals some important things about the nature of evidence and evidence is one of the most fundamental concepts in epistemology.
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
- No Need for Excuses: Against Knowledge-First Epistemology and the Knowledge Norm of Assertion#766175
- Quine’s Naturalized Epistemology, Epistemic Normativity and the Gettier Problem#748723
- Are Modal Conditions Necessary for Knowledge?#716662
- Reconsidering normative defeat#97256
- Varieties of Evidentialism#112295
Record · ID 767408
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