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Water Tasting: A Bayesian Multiverse Analysis
by Suzanne Hoogeveen
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Submission summary
| Authors (as registered SciPost users): | Suzanne Hoogeveen |
| Submission information | |
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| Preprint Link: | scipost_202503_00048v1 (pdf) |
| Date accepted: | April 9, 2025 |
| Date submitted: | March 25, 2025, 12:57 p.m. |
| Submitted by: | Suzanne Hoogeveen |
| Submitted to: | Journal of Robustness Reports |
| Ontological classification | |
|---|---|
| Academic field: | Multidisciplinary |
| Specialties: |
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Abstract
Varying data inclusion criteria and prior settings, a Bayesian multiverse analysis failed to provide robust evidence for the claim that people prefer Chaudfontaine over tap water.
Published as J. Robust. Rep. 0-Ex1 (2025)
