We discuss evidence of data tampering in a series of experiments investigating dishonesty revealed via excel spreadsheet metadata and how traditional peer review is not suited for the detection of data tampering.
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Citation
Quintana, D.S., Heathers, J.A.J. (Hosts). (2023, June 23) "170: Holy Sheet", Everything Hertz [Audio podcast], DOI: 10.17605/OSF.IO/DW2C7
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180: Consortium peer reviews
179: Discovery vs. maintenance
178: Alerting researchers about retractions
177: Plagiarism
176: Tracking academic workloads
175: Defending against the scientific dark arts
174: Smug missionaries with test tubes
173: How do science journalists evaluate psychology papers?
172: In defence of the discussion section
171: The easiest person to fool is yourself (with Daniel Simons and Christopher Chabris)
169: Using big data to understand behavior (Live episode with Sandra Matz)
168: Meta-meta-science
167: Diluted effect sizes
166: Is science becoming less disruptive over time?
165: Self-promotion
164: The great migration
163: eLife's new peer review model
162: Status bias in peer review
161: The memo (with Brian Nosek)
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