Water tasting: A Bayesian multiverse analysis

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.

Authors

Suzanne Hoogeveen (ORCID: https://orcid.org/0000-0002-1304-8615)

Institutions

Utrecht University (NL)

Publication Details

Journal: Journal of Robustness Reports
Published: 2025-04-16
DOI: https://doi.org/10.21468/jrobustrep.0-ex1
Citations: 1
Primary Topic: Multisensory perception and integration
Type: article
Field-Weighted Citation Impact: 2.12

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Water tasting: A Bayesian multiverse analysis

Suzanne Hoogeveen

Apr 16, 2025

1 citations

Journal of Robustness Reports

Multisensory perception and integration

2.12

article

Water tasting: A Bayesian multiverse analysis

Suzanne Hoogeveen

April 16, 2025article en

1 citations

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.

Journal of Robustness Reports

Utrecht University (NL)

Openalex Percentile: Top 15%

Multisensory perception and integration

2.12

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Water tasting: A Bayesian multiverse analysis — Suzanne Hoogeveen · Journal of Robustness Reports (2025) | TGRS Research Map | TGRS