Document Type
Article
Publication Date
2018
Abstract
This paper deals with two different problems in which infinity plays a central role. I first respond to a claim that infinity renders counting knowledge-level beliefs an infeasible approach to measuring and comparing how much we know. There are two methods of comparing sizes of infinite sets, using the one-to-one correspondence principle or the subset principle, and I argue that we should use the subset principle for measuring knowledge. I then turn to the normalizability and coarse tuning objections to fine-tuning arguments for the existence of God or a multiverse. These objections center on the difficulty of talking about the epistemic probability of a physical constant falling within a finite life-permitting range when the possible range of that constant is infinite. Applying the lessons learned regarding infinity and the measurement of knowledge, I hope to blunt much of the force of these objections to fine-tuning arguments.
Recommended Citation
Choi, Isaac, "Infinite Cardinalities, Measuring Knowledge, and Probabilities in Fine-Tuning Arguments (Chapter 5 of Knowledge, Belief, and God: New Insights in Religious Epistemology)" (2018). Faculty Publications - George Fox School of Theology. 411.
https://digitalcommons.georgefox.edu/ccs/411
Comments
Originally published in Knowledge, Belief, and God: New Insights in Religious Epistemology, Edited by Matthew A. Benton, John Hawthorne, and Dani Rabinowitz Oxford University Press, 2018 ISBN: 9780198798705
https://global.oup.com/academic/product/knowledge-belief-and-god-9780198798705?cc=us&lang=en&