Franklin, Alexander (2023) A Challenge for Humean Everettians. [Preprint]

Preview

Text probabilityEverett.pdf Download (220kB) | Preview

Abstract

I show that recent attempts to develop Humean Everettianism are inconsistent with the Principal Principle. Wilhelm (2022) develops an account of probability in Everettian Quantum Mechanics that purports to solve the problems faced by the wide range of existing approaches; he does so by linking probabilities to a Lewis-style Best System Analysis of the outcomes along branches, resulting in 'centered chances'. Unfortunately, this approach cannot work: it implies that physically identical timeslices of individuals will have a great many distinct credences at any time, and provides no account of which credence in particular should be accepted. As such, this view of probability does not provide a guide to action and severs the credence-chance link. I develop this worry and argue that it stems from a conflation of two types of probability that come apart in many world settings.

---

Export/Citation:

EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL

Social Networking:

Share |

---

Item Type:	Preprint
Creators:	Creators Email ORCID Franklin, Alexander alexander.r.franklin@kcl.ac.uk 0000-0001-6034-4575
Keywords:	Everettian probability; centered chances; Best System; Everettian Quantum Mechanics; Principal Principle
Subjects:	Specific Sciences > Physics Specific Sciences > Probability/Statistics Specific Sciences > Physics > Quantum Mechanics
Depositing User:	Dr Alexander Franklin
Date Deposited:	27 Oct 2023 20:01
Last Modified:	27 Oct 2023 20:01
Item ID:	22716
Subjects:	Specific Sciences > Physics Specific Sciences > Probability/Statistics Specific Sciences > Physics > Quantum Mechanics
Date:	October 2023
URI:	https://philsci-archive.pitt.edu/id/eprint/22716

Available Versions of this Item

• A Challenge for Humean Everettians. (deposited 27 Oct 2023 20:01) [Currently Displayed]
  • A Challenge for Humean Everettians. (deposited 30 Sep 2024 13:57)

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item