Induction and Lotteriesnull, Jeremy Goodman (Brown University, Oxford University)
School of Humanities, Shanghai Jiao Tong University
Prof. Jeremy Goodman (University of Southern California) will give an online lecture titled "Induction and Lotteries" in the "Epistemology+" Lecture Series at Shanghai Jiao Tong University. Prof. Ru Ye (Wuhan University) will be the commentator.
The lecture will be held on October 9th, from 2:00 PM to 4:00 PM, Beijing Time (7 AM, London Time; 2 AM, New York Time). To attend the lecture over Zoom, please use the following link:
Zoom meeting info:
Time: 14:00-16:00 (UTC+8), 09 Oct 2023
Meeting ID: 662 274 0726
Title: Induction and Lotteries
Abstract: What you can know depends on who you are. In one sense this is trivial: different people have different evidence and what you can know depends in part on your evidence. I will argue for a more radical kind of epistemic asymmetry, one that divides agents with the same relevant evidence. I begin with a new puzzle about induction, and argue that it motivates positing such asymmetries. I then suggest that this solution extends to the lottery paradox: people are better positioned to know that they will lose the lottery than to know that a given person disconnected from them will lose. In general, we know enough to run our lives, but not enough to predict the improbable. I explain how this anti-skeptical strategy can be developed within a framework on which inductive knowledge is underwritten by a default entitlement to ignore especially abnormal possibilities.