Hedges, mottes, and baileys: Causally ambiguous statistical language can increase perceived study quality and policy relevance
- Daniela Alvarez-Vargas
- , David William Braithwaite
- , Hugues Lortie-Forgues
- , Melody M Moore
- , Mayan Castro
- , Sirui Wan
- , Elizabeth A Martin
- , Drew H Bailey
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