Postgraduate "Work In Progress" Seminar
Postgraduate Work-In-Progress SeminarA weekly seminar for Philosophy postgraduates to present their in-progress work, followed by a well-spirited trip to the pub. OverviewThe WIP provides a risk-free and supportive space for postgraduates to present their work and receive feedback from other graduates and faculty.
Attendance optional but highly recommended. All postgraduates are welcome to present or attend -- whether MA, MPhil, PhD, Visitors, etc. Useful InfoThe WIP is a unique opportunity for graduates to develop their presenting and writing skills, take risks, test out ideas, and receive constructive feedback from peers.
Presentations need not be watertight or polished pieces at all. You are encouraged to present work at all stages of the writing process. Should you present?Are you a postgraduate? Then yes, you should present. |
NEXT TALKRozemin Keshvani (PhD) Kant Thursday 25/06/2026 5pm - 6:15pm S1.50 ORGANISERS |
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Knowledge and Belief Seminar
Guest Speaker: Paul Silva (University of Cologne)
Title: 'Knowledge, Belief, and the Possession of Reasons'
Abstract. Lottery cases, cases of naked statistical evidence, fine-tuning arguments, and profiling evidence can provide a thinker with evidence that ensures a high probability in some claim p. Yet it's widely believed that p's being very probable on one's evidence is insufficient for justified belief that p and therefore also insufficient for knowing that p. Accordingly, lottery cases (etc.) are cases where justified belief and knowledge are inaccessible. This lesson seems to naturally extend to fine-tuning arguments (for theism or a multiverse) as well as profiling cases.
In this paper I provide cases where one's evidence is "statistical" in a way that parallels lottery cases (etc.) but, shockingly, our intuitions are reversed: these parallel cases are cases where high probability justifies belief and holds the promise of knowledge. Existing accounts of what goes wrong in cases of "merely statistical evidence" cannot explain the justificatory asymmetry between the parallel cases of statistical evidence. I examine two explanations. One builds on insights from Timothy Williamson. Another builds on insights from David Lewis. Lessons are drawn about the flaws and limitations of fine-tuning arguments as well as a certain class of arguments for the existence of moral encroachment on justification.