Socio-Epistemic Bubbles and Tacit Confidence in Randomized Controlled Trials

The paradigm of scientific medicine is among the most influential epistemic shifts in the past century, wherein randomized controlled trials (RCTs) represent the impartial arbiter of medical claims. Nevertheless, not all RCTs agree, and systematic reviews are invoked to reconcile them. We theorize how tacitness-beliefs, implicit assumptions, expectations, heuristics, unrecorded routines-accumulates within 'socio-epistemic bubbles', continuous regions of social density that decrease diversity and increase unwarranted certainty about healthcare studied by RCTs. To assess our theory, we analyze 20,117 meta-analyses extracted from 1,962 Cochrane systematic reviews. We find that being closer within 'social space' inscribed by scientific collaboration increases agreement across RCTs. Our analysis suggests that this amplified certainty can drive premature convergence affecting medical practice and population health. By increasing researchers' ability to perform an experiment in the way required to achieve an expected result, socio-epistemic bubbles represent the dark matter of the experimental process often obscured. Our findings imply hidden limitations associated with unmeasured social influence across the policy sciences, through which conflicting claims perpetuate and highlight the necessity of accounting for them to improve collective certainty.

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Publication Details

Journal
Social Studies of Science
Published
2026-03-12
DOI
https://doi.org/10.1177/03063127251410234
Primary Topic
Advanced Causal Inference Techniques
Type
article
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article

Socio-Epistemic Bubbles and Tacit Confidence in Randomized Controlled Trials

Dong-Hyun Kang, James A. Evans
Social Studies of Science
Advanced Causal Inference Techniques
article

Socio-Epistemic Bubbles and Tacit Confidence in Randomized Controlled Trials

Dong-Hyun Kang, James A. Evans
article en

Abstract

The paradigm of scientific medicine is among the most influential epistemic shifts in the past century, wherein randomized controlled trials (RCTs) represent the impartial arbiter of medical claims. Nevertheless, not all RCTs agree, and systematic reviews are invoked to reconcile them. We theorize how tacitness-beliefs, implicit assumptions, expectations, heuristics, unrecorded routines-accumulates within 'socio-epistemic bubbles', continuous regions of social density that decrease diversity and increase unwarranted certainty about healthcare studied by RCTs. To assess our theory, we analyze 20,117 meta-analyses extracted from 1,962 Cochrane systematic reviews. We find that being closer within 'social space' inscribed by scientific collaboration increases agreement across RCTs. Our analysis suggests that this amplified certainty can drive premature convergence affecting medical practice and population health. By increasing researchers' ability to perform an experiment in the way required to achieve an expected result, socio-epistemic bubbles represent the dark matter of the experimental process often obscured. Our findings imply hidden limitations associated with unmeasured social influence across the policy sciences, through which conflicting claims perpetuate and highlight the necessity of accounting for them to improve collective certainty.

Social Studies of Science
Santa Fe Institute (US), Yonsei University (KR), University of Chicago (US)
Openalex Percentile: Top 27%
Advanced Causal Inference Techniques
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Socio-Epistemic Bubbles and Tacit Confidence in Randomized Controlled Trials — Dong-Hyun Kang, James A. Evans · Social Studies of Science (2026) | TGRS Research Map | TGRS