Catching the WAVE: The Weight-Adjusting Account of Values and Evidence

Download Edit this record How to cite View on PhilPapers
It is commonly argued that values “fill the logical gap” of underdetermination of theory by evidence, namely, values affect our choice between two or more theories that fit the same evidence. The underdetermination model, however, does not exhaust the roles values play in evidential reasoning. I introduce WAVE – a novel account of the logical relations between values and evidence. WAVE states that values influence evidential reasoning by adjusting evidential weights. I argue that the weight-adjusting role of values is distinct from their underdetermination gap-filling role. Values adjust weights in three ways. First, values affect our trust in the testimony of others. Second, values influence the evidential thresholds required for justified epistemic judgments. Third, values influence the relative weight of a certain type of evidence within a body of multimodal discordant evidence. WAVE explains, from an epistemic perspective, rather than psychological, how smokers, for example, can find the same evidence about the dangers of smoking less persuasive than non-smokers. WAVE allows for a wider effect of values on our accepted scientific theories and beliefs than the effect for which the underdetermination model allows alone; therefore, science studies scholars must consider WAVE in their research and analysis of evidential case studies.
PhilPapers/Archive ID
Revision history
Archival date: 2014-03-08
View upload history
References found in this work BETA
Two Dogmas of Empiricism.Quine, Willard V. O.
Trust and Antitrust.Baier, Annette
Models in Science.Frigg, Roman

View all 41 references / Add more references

Citations of this work BETA

Add more citations

Added to PP index

Total views
417 ( #9,481 of 47,165 )

Recent downloads (6 months)
51 ( #15,290 of 47,165 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks to external links.