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About

The authors: Uri Simonsohn, Leif Nelson and Joe Simmons.

The blog
Last update: December 21st, 2018

  • Launched on September of 2013
  • Posts aim to be 700-1000 words long. With more analysis than opinion.
  • Posts involve quantitative analyses, replications, and/or discussions of interest to at least three behavioral scientists.
  • Posts intended to fall between very short papers and traditional blog posts.
  • We don't have a comments section, please email us your reactions to the post and we will discuss..
  • When discussing research by other authors we share ahead of time a draft with them and ask for feedback. See our feedback policy.

 

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Uri Simonsohn (.htm)
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    All posts

    • [81] Data Replicada
    • [80] Interaction Effects Need Interaction Controls
    • [79] Experimentation Aversion: Reconciling the Evidence
    • [78c] Bayes Factors in Ten Recent Psych Science Papers
    • [78b] Hyp-Chart, the Missing Link Between P-values and Bayes Factors
    • [78a] If you think p-values are problematic, wait until you understand Bayes Factors
    • [77] Number-Bunching: A New Tool for Forensic Data Analysis
    • [76] Heterogeneity Is Replicable: Evidence From Maluma, MTurk, and Many Labs
    • [75] Intentionally Biased: People Purposely Don't Ignore Information They "Should" Ignore
    • [74] In Press at Psychological Science: A New 'Nudge' Supported by Implausible Data
    • [73] Don't Trust Internal Meta-Analysis
    • [72] Metacritic Has A (File-Drawer) Problem
    • [71] The (Surprising?) Shape of the File Drawer
    • [70] How Many Studies Have Not Been Run? Why We Still Think the Average Effect Does Not Exist
    • [69] Eight things I do to make my open research more findable and understandable
    • [68] Pilot-Dropping Backfires (So Daryl Bem Probably Did Not Do It)
    • [67] P-curve Handles Heterogeneity Just Fine
    • [66] Outliers: Evaluating A New P-Curve Of Power Poses
    • [65] Spotlight on Science Journalism: The Health Benefits of Volunteering
    • [64] How To Properly Preregister A Study
    • [63] "Many Labs" Overestimated The Importance of Hidden Moderators
    • [62] Two-lines: The First Valid Test of U-Shaped Relationships
    • [61] Why p-curve excludes ps>.05
    • [60] Forthcoming in JPSP: A Non-Diagnostic Audit of Psychological Research
    • [59] PET-PEESE Is Not Like Homeopathy
    • [58] The Funnel Plot is Invalid Because of This Crazy Assumption: r(n,d)=0
    • [57] Interactions in Logit Regressions: Why Positive May Mean Negative
    • [56] TWARKing: Test-Weighting After Results are Known
    • [55] The file-drawer problem is unfixable, and that's OK
    • [54] The 90x75x50 heuristic: Noisy & Wasteful Sample Sizes In The "Social Science Replication Project"
    • [53] What I Want Our Field To Prioritize
    • [52] Menschplaining: Three Ideas for Civil Criticism
    • [51] Greg vs. Jamal: Why Didn't Bertrand and Mullainathan (2004) Replicate?
    • [50] Teenagers in Bikinis: Interpreting Police-Shooting Data
    • [49] P-Curve Won't Do Your Laundry, But Will Identify Replicable Findings
    • [48] P-hacked Hypotheses Are Deceivingly Robust
    • [47] Evaluating Replications: 40% Full ≠ 60% Empty
    • [46] Controlling the Weather
    • [45] Ambitious P-Hacking and P-Curve 4.0
    • [44] AsPredicted: Pre-registration Made Easy
    • [43] Rain & Happiness: Why Didn't Schwarz & Clore (1983) 'Replicate' ?
    • [42] Accepting the Null: Where to Draw the Line?
    • [41] Falsely Reassuring: Analyses of ALL p-values
    • [40] Reducing Fraud in Science
    • [39] Power Naps: When do Within-Subject Comparisons Help vs Hurt (yes, hurt) Power?
    • [38] A Better Explanation Of The Endowment Effect
    • [37] Power Posing: Reassessing The Evidence Behind The Most Popular TED Talk
    • [36] How to Study Discrimination (or Anything) With Names; If You Must
    • [35] The Default Bayesian Test is Prejudiced Against Small Effects
    • [34] My Links Will Outlive You
    • [33] "The" Effect Size Does Not Exist
    • [32] Spotify Has Trouble With A Marketing Research Exam
    • [31] Women are taller than men: Misusing Occam's Razor to lobotomize discussions of alternative explanations
    • [30] Trim-and-Fill is Full of It (bias)
    • [29] Help! Someone Thinks I p-hacked
    • [28] Confidence Intervals Don't Change How We Think about Data
    • [27] Thirty-somethings are Shrinking and Other U-Shaped Challenges
    • [26] What If Games Were Shorter?
    • [25] Maybe people actually enjoy being alone with their thoughts
    • [24] P-curve vs. Excessive Significance Test
    • [23] Ceiling Effects and Replications
    • [22] You know what's on our shopping list
    • [21] Fake-Data Colada: Excessive Linearity
    • [20] We cannot afford to study effect size in the lab
    • [19] Fake Data: Mendel vs. Stapel
    • [18] MTurk vs. The Lab: Either Way We Need Big Samples
    • [17] No-way Interactions
    • [16] People Take Baths In Hotel Rooms
    • [15] Citing Prospect Theory
    • [14] How To Win A Football Prediction Contest: Ignore Your Gut
    • [13] Posterior-Hacking
    • [12] Preregistration: Not just for the Empiro-zealots
    • [11] "Exactly": The Most Famous Framing Effect Is Robust To Precise Wording
    • [10] Reviewers are asking for it
    • [9] Titleogy: Some facts about titles
    • [8] Adventures in the Assessment of Animal Speed and Morality
    • [7] Forthcoming in the American Economic Review: A Misdiagnosed Failure-to-Replicate
    • [6] Samples Can't Be Too Large
    • [5] The Consistency of Random Numbers
    • [4] The Folly of Powering Replications Based on Observed Effect Size
    • [3] A New Way To Increase Charitable Donations: Does It Replicate?
    • [2] Using Personal Listening Habits to Identify Personal Music Preferences
    • [1] "Just Posting It" works, leads to new retraction in Psychology

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