Data Colada datacolada.org

[134] Figuring Out Figure 1

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[133] Heterofriendly: The Intuition for Why You Always Need Robust Standard Errors

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[132] statuser: R in user-friendly mode

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[131] Bending Over Backwards: The Quadratic Puts the U in AI

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[130] ResearchBox: Even Easier to Use and More Transparently Permanent than Before

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[129] P-curve works in practice, but would it work if you dropped a piano on it?

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[128] LinkedOut: The Best Published Audit Study, And Its Interesting Shortcoming

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[127] Meaningless Means #4: Correcting Scientific Misinformation

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[126] Stimulus Plots

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[125] "Complexity" 2: Don't be mean to the median

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[124] "Complexity": 75% of participants missed comprehension questions in AER paper critiquing Prospect Theory

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[123] Dear Political Scientists: The binning estimator violates ceteris paribus

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[121] Dear Political Scientists: Don't Bin, GAM Instead

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[120] Off-Label Smirnov: How Many Subjects Show an Effect in Between-Subjects Experiments?

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[119] A Hidden Confound in a Psych Methods Pre‑registrations Critique

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[118] Harvard’s Gino Report Reveals How A Dataset Was Altered

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[117] The Impersonator: The Fake Data Were Coming From Inside the Lab

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[116] Our (First?) Day In Court

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[115] Preregistration Prevalence

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[114] Exhibits 3, 4, and 5

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