Coates, Matthew (2024) Does it Harm Science to Suppress Dissenting Evidence? [Preprint]
|
Text
Does it Harm Science to Suppress Dissenting Evidence Preprint.pdf Download (1MB) | Preview |
|
|
Text
Does it Harm Science to Suppress Dissenting Evidence Online Appendix.pdf Download (836kB) | Preview |
Abstract
There has been increased attention on how scientific communities should respond to spurious dissent. One proposed method is to hide such dissent by preventing its publication. To investigate this, I computationally model the epistemic effects of hiding dissenting evidence on scientific communities. I find that it is typically epistemically harmful to hide dissent, even when there exists an agent purposefully producing biased dissent. However, hiding dissent also allows for quicker correct epistemic consensus among scientists. Quicker consensus may be important when policy decisions must be made quickly, such as during a pandemic, suggesting times when hiding dissent may be useful.
Export/Citation: | EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL |
Social Networking: |
Item Type: | Preprint | ||||||
---|---|---|---|---|---|---|---|
Creators: |
|
||||||
Keywords: | networks, social networks, social epistemology, epistemology of science, scientific communities, group learning, consensus, dissent | ||||||
Subjects: | General Issues > Computer Simulation General Issues > Models and Idealization General Issues > Science and Society General Issues > Social Epistemology of Science |
||||||
Depositing User: | Matthew Coates | ||||||
Date Deposited: | 23 May 2024 11:35 | ||||||
Last Modified: | 23 May 2024 11:35 | ||||||
Item ID: | 23472 | ||||||
Subjects: | General Issues > Computer Simulation General Issues > Models and Idealization General Issues > Science and Society General Issues > Social Epistemology of Science |
||||||
Date: | 2024 | ||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/23472 |
Monthly Views for the past 3 years
Monthly Downloads for the past 3 years
Plum Analytics
Actions (login required)
View Item |