Reflection-Philosophy Order Effects and Correlations Across Samples
Abstract
Reflective reasoning often correlates with certain philosophical decisions,but it is often unclear whether reflection causesthose decisions. So apre-registered experiment assessedhow reflective thinking relatesto decisionsabout 10 thought experiments from epistemology, ethics, and philosophy of mind.Participants from the United Stateswere recruited from Amazon Mechanical Turk, CloudResearch, Prolific, and a university. One participant source yielded up to 18 times as many low-quality respondentsastheotherthree. Among remaining respondents, some prior correlations between reflectiveandphilosophical thinking replicated. For example, reflection predicteddenying thataccidentally justified true beliefscount as knowledge.However, reflection test orderdidnotimpact philosophical decisions. Instead,aphilosophical reflectioneffect emerged: makingphilosophical decisions before thereflection test improved reflection test performance. These and other data suggest causalpaths between reflectionand philosophycan goboth directions,but detectingsuch results can depend onfactors such as data quality.
Study specs
Participants from four sources (Amazon Mechanical Turk, CloudResearch, Prolific, and a university) were tested on reflective reasoning and their decisions on 10 philosophical thought experiments.
- Authors
- N Byrd
- Institution
- Stevens Institute of Technology
- Discipline
- Psychology
- Study Type
- Experimental Study
- Year
- 2025
- Human Data Platform
- Prolific
- Source
- View Source Google Scholar
Measured Outcomes
Impact of reflective reasoning on philosophical decisions and the effect of test order on reflection and philosophy outcomes.
Peer Review & Critical Discussion
Potential Selection Bias in 2023 Cohort
The participant pool shows a concerning overrepresentation of users from high-income demographics. Looking at Table 3, we can see that 78% of respondents had annual incomes above $75k, which significantly limits the generalizability of these findings to broader populations.
Non-naive Participants Issue
I've noticed a methodological concern regarding participant naivety. Given that Prolific users often complete multiple studies, there's a real risk that participants had prior exposure to similar experimental paradigms, which could confound the results.
RLHF Applicability to This Study Design
The implications for RLHF training pipelines are understated. If we accept the authors' conclusions about preference stability, this has direct consequences for how we should structure reward model training. The temporal decay effect described in Section 4.2 is particularly relevant.
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