Fletcher, Samuel C. (2023) The Stopping Rule Principle and Confirmational Reliability. [Preprint]
Text
srp-cr.pdf - Accepted Version Restricted to Repository staff only until 31 March 2024. Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (416kB) |
Abstract
The stopping rule for a sequential experiment is the rule or procedure for determining when that experiment should end. Accordingly, the stopping rule principle (SRP) states that the evidential relationship between the final data from a sequential experiment and a hypothesis under consideration does not depend on the stopping rule: the same data should yield the same evidence, regardless of which stopping rule was used. I clarify and provide a novel defense of two interpretations of the main argument against the SRP, the foregone conclusions argument. According to the first, the SRP allows for highly confirmationally unreliable experiments, which concept I make precise, to confirm highly. According to the second, it entails the evidential equivalence of experiments differing significantly in their confirmational reliability. I rebut several attempts to deflate or deflect the foregone conclusion argument, drawing connections with replication in science and the likelihood principle.
Export/Citation: | EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL |
Social Networking: |
Item Type: | Preprint | ||||||
---|---|---|---|---|---|---|---|
Creators: |
|
||||||
Additional Information: | Author URL contains link to self-archived version. | ||||||
Keywords: | Stopping rules; Replication; Reproducability; Likelihood Principle; Statistical evidence; Reliability; Confirmation | ||||||
Subjects: | General Issues > Confirmation/Induction General Issues > Evidence Specific Sciences > Probability/Statistics |
||||||
Depositing User: | Prof. Samuel C. Fletcher | ||||||
Date Deposited: | 24 Feb 2023 01:58 | ||||||
Last Modified: | 24 Feb 2023 01:58 | ||||||
Item ID: | 21793 | ||||||
Subjects: | General Issues > Confirmation/Induction General Issues > Evidence Specific Sciences > Probability/Statistics |
||||||
Date: | 2 February 2023 | ||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/21793 |
Monthly Views for the past 3 years
Monthly Downloads for the past 3 years
Plum Analytics
Actions (login required)
View Item |