corpus.blog
41554 blogs · [ { "id": "01a0b5e6-2f10-72e7-a8f4-f8dbaf177b5d", "title": "[139] Artificial Deadlines (Part 2): Retrograding Ariely & Wertenbroch (2002)", "url": "https://datacolada.org/139", "published_at": "2026-09-02T13:10:05+00:00" }, { "id": "01a0b5e6-2f10-72e7-a8f4-f8dbb010830e", "title": "[138] Artificial Deadlines (Part 1): Evidence of Fraud in an Influential Study About Procrastination", "url": "https://datacolada.org/138", "published_at": "2026-08-31T13:00:31+00:00" }, { "id": "01a0b5e6-2f10-72e7-a8f4-f8dbb07b9bde", "title": "[137] OSF Will Stop Accepting Your Research Files, You Can Use ResearchBox Instead", "url": "https://datacolada.org/137", "published_at": "2026-08-11T16:18:06+00:00" }, { "id": "01a0b5e6-2f10-72e7-a8f4-f8dbb175e780", "title": "[136] Metadata Falsificada: The Cover-Up File in Gino v. Harvard", "url": "https://datacolada.org/136", "published_at": "2026-07-03T11:00:57+00:00" }, { "id": "01a0b5e6-2f10-72e7-a8f4-f8dbb27032b0", "title": "[134] Figuring Out Figure 1", "url": "https://datacolada.org/134", "published_at": "2026-03-19T12:02:37+00:00" }, { "id": "01a0b5e6-2f10-72e7-a8f4-f8dbb3522749", "title": "[133] Heterofriendly: The Intuition for Why You Always Need Robust Standard Errors", "url": "https://datacolada.org/133", "published_at": "2026-03-02T12:00:27+00:00" }, { "id": "01a0b5e6-2f10-72e7-a8f4-f8dbb44bfd33", "title": "[132] statuser: R in user-friendly mode", "url": "https://datacolada.org/132", "published_at": "2026-02-16T13:00:06+00:00" }, { "id": "01a0b5e6-2f10-72e7-a8f4-f8dbb4b4f290", "title": "[131] Bending Over Backwards: The Quadratic Puts the U in AI", "url": "https://datacolada.org/131", "published_at": "2025-12-10T12:01:57+00:00" }, { "id": "01a0b5e6-2f10-72e7-a8f4-f8dbb5302553", "title": "[130] ResearchBox: Even Easier to Use and More Transparently Permanent than Before", "url": "https://datacolada.org/130", "published_at": "2025-11-17T12:03:00+00:00" }, { "id": "01a0b5e6-2f10-72e7-a8f4-f8dbb6033d78", "title": "[129] P-curve works in practice, but would it work if you dropped a piano on it?", "url": "https://datacolada.org/129", "published_at": "2025-09-23T11:00:10+00:00" }, { "id": "01a0b5e6-2f10-72e7-a8f4-f8dbb68aa467", "title": "[128] LinkedOut: The Best Published Audit Study, And Its Interesting Shortcoming", "url": "https://datacolada.org/128", "published_at": "2025-06-23T11:00:40+00:00" }, { "id": "01a0b5e6-2f10-72e7-a8f4-f8dbb75c28e9", "title": "[127] Meaningless Means #4: Correcting Scientific Misinformation", "url": "https://datacolada.org/127", "published_at": "2025-06-18T12:00:59+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa0a4ec9e", "title": "[126] Stimulus Plots", "url": "https://datacolada.org/126", "published_at": "2025-06-02T10:59:33+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa1587975", "title": "[125] “Complexity” 2: Don’t be mean to the median", "url": "https://datacolada.org/125", "published_at": "2025-04-01T11:00:04+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa221197e", "title": "[124] “Complexity”: 75% of participants missed comprehension questions in AER paper critiquing Prospect Theory", "url": "https://datacolada.org/124", "published_at": "2025-03-14T11:00:22+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa2e91305", "title": "[123] Dear Political Scientists: The binning estimator violates ceteris paribus", "url": "https://datacolada.org/123", "published_at": "2025-03-05T12:00:31+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa2ea0403", "title": "[122] Arresting Flexibility: A QJE field experiment on police behavior with about 40 outcome variables", "url": "https://datacolada.org/122", "published_at": "2025-01-07T12:00:16+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa3a4269b", "title": "[121] Dear Political Scientists: Don’t Bin, GAM Instead", "url": "https://datacolada.org/121", "published_at": "2024-12-03T12:00:30+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa3fadac3", "title": "[120] Off-Label Smirnov: How Many Subjects Show an Effect in Between-Subjects Experiments?", "url": "https://datacolada.org/120", "published_at": "2024-09-16T11:00:25+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa4c71678", "title": "[119] A Hidden Confound in a Psych Methods Pre‑registrations Critique", "url": "https://datacolada.org/119", "published_at": "2024-09-02T11:00:02+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa51f4eb1", "title": "[118] Harvard’s Gino Report Reveals How A Dataset Was Altered", "url": "https://datacolada.org/118", "published_at": "2024-07-09T13:15:09+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa5c991b8", "title": "[117] The Impersonator: The Fake Data Were Coming From Inside the Lab", "url": "https://datacolada.org/117", "published_at": "2024-06-12T11:00:34+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa66f8cef", "title": "[116] Our (First?) Day In Court", "url": "https://datacolada.org/116", "published_at": "2024-05-08T11:00:54+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa6d32d4c", "title": "[115] Preregistration Prevalence", "url": "https://datacolada.org/115", "published_at": "2023-11-13T12:00:30+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa718181f", "title": "[114] Exhibits 3, 4, and 5", "url": "https://datacolada.org/114", "published_at": "2023-09-16T12:48:38+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa8057750", "title": "[113] Data Litigada: Thank You (And An Update)", "url": "https://datacolada.org/113", "published_at": "2023-09-01T11:00:43+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa88fc020", "title": "[112] Data Falsificada (Part 4): “Forgetting The Words”", "url": "https://datacolada.org/112", "published_at": "2023-06-30T14:35:46+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa8efe78f", "title": "[111] Data Falsificada (Part 3): “The Cheaters Are Out of Order”", "url": "https://datacolada.org/111", "published_at": "2023-06-23T12:27:39+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baa9e7b811", "title": "[110] Data Falsificada (Part 2): “My Class Year Is Harvard”", "url": "https://datacolada.org/110", "published_at": "2023-06-20T11:00:01+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baaab893d0", "title": "[109] Data Falsificada (Part 1): “Clusterfake”", "url": "https://datacolada.org/109", "published_at": "2023-06-17T14:17:51+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baab0d0ffe", "title": "[108] MRAN is Dead, long live GRAN", "url": "https://datacolada.org/108", "published_at": "2023-04-28T11:00:51+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baab616118", "title": "[107] Meaningless Means #3: The Truth About Lies", "url": "https://datacolada.org/107", "published_at": "2023-02-28T12:30:34+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baabb71b6d", "title": "[106] Meaningless Means #2: The Average Effect of Nudging in Academic Publications is 8.7%", "url": "https://datacolada.org/106", "published_at": "2022-11-29T12:00:22+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baac65a74d", "title": "[105] Meaningless Means #1: The Average Effect of Nudging Is d = .43", "url": "https://datacolada.org/105", "published_at": "2022-11-03T11:00:49+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baad1b81ef", "title": "[104] Meaningless Means: Some Fundamental Problems With Meta-Analytic Averages", "url": "https://datacolada.org/104", "published_at": "2022-11-01T11:00:18+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baadb63e2e", "title": "[103] Mediation Analysis is Counterintuitively Invalid", "url": "https://datacolada.org/103", "published_at": "2022-09-26T11:00:02+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baae5fc811", "title": "[102] R on Steroids: Running WAY faster simulations in R", "url": "https://datacolada.org/102", "published_at": "2022-09-06T11:00:15+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baae8cbe75", "title": "[101] Transparency Makes Research Evaluable: Evaluating a Field Experiment on Crime Published in Nature", "url": "https://datacolada.org/101", "published_at": "2022-04-28T11:00:16+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6baaf61c3d4", "title": "[100] Groundhog 2.0: Further addressing the threat R poses to reproducible research", "url": "https://datacolada.org/100", "published_at": "2022-04-08T11:00:46+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6bab061999b", "title": "[99] Hyping Fisher: The Most Cited 2019 QJE Paper Relied on an Outdated Stata Default to Conclude Regression p-values Are Inadequate", "url": "https://datacolada.org/99", "published_at": "2021-10-13T11:00:34+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6bab10b29dc", "title": "[98] Evidence of Fraud in an Influential Field Experiment About Dishonesty", "url": "https://datacolada.org/98", "published_at": "2021-08-17T13:00:14+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6bab1a8286f", "title": "[97] Data Replicada #10: Does Goal Conflict Affect Time Spent on Work and Leisure?", "url": "https://datacolada.org/97", "published_at": "2021-05-04T12:00:01+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6bab2477b4a", "title": "[96] Madam Speaker: Are Female Presenters Treated Worse in Econ Seminars?", "url": "https://datacolada.org/96", "published_at": "2021-04-30T11:00:02+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6bab2bae850", "title": "[95] Groundhog: Addressing The Threat That R Poses To Reproducible Research", "url": "https://datacolada.org/95", "published_at": "2021-01-05T12:01:37+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6bab36ac2a5", "title": "[94] Data Replicada #9: Are Progression Ads More Credible?", "url": "https://datacolada.org/94", "published_at": "2020-12-03T12:00:04+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6bab38aa54c", "title": "[93] ResearchBox: Open Research Made Easy", "url": "https://datacolada.org/93", "published_at": "2020-10-30T10:59:44+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6bab3d1b559", "title": "[92] Data Replicada #8: Is The Left-Digit Bias Stronger When Prices Are Presented Side-By-Side?", "url": "https://datacolada.org/92", "published_at": "2020-10-01T11:00:58+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6bab4c5c089", "title": "[91] p-hacking fast and slow: Evaluating a forthcoming AER paper deeming some econ literatures less trustworthy", "url": "https://datacolada.org/91", "published_at": "2020-09-15T11:00:22+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6bab56f0e31", "title": "[90] Data Replicada #7: Does Displaying Multiple Copies of a Product Increase Its Perceived Effectiveness?", "url": "https://datacolada.org/90", "published_at": "2020-08-18T14:00:48+00:00" }, { "id": "01a0b5e6-2f11-7172-8772-c6bab606af6a", "title": "[89] Data Replicada #6: The Problem of (Weird) Differential Attrition", "url": "https://datacolada.org/89", "published_at": "2020-07-21T13:00:21+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f509db95184", "title": "[88] The Hot-Hand Artifact for Dummies & Behavioral Scientists", "url": "https://datacolada.org/88", "published_at": "2020-05-27T12:58:06+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f509dd2dfa3", "title": "[87] Data Replicada #5: Do Human-Like Products Inspire More Holistic Judgments?", "url": "https://datacolada.org/87", "published_at": "2020-05-20T11:00:37+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f509e67a675", "title": "[86] The Data Colada Seminar Series", "url": "https://datacolada.org/86", "published_at": "2020-04-20T10:45:52+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f509eb14d5d", "title": "[85] Data Replicada #4: The Problem of Hidden Confounds", "url": "https://datacolada.org/85", "published_at": "2020-03-10T12:00:57+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f509f04e2fe", "title": "[84] Data Replicada #3: Does Self-Concept Uncertainty Influence Magazine Subscription Choice?", "url": "https://datacolada.org/84", "published_at": "2020-02-11T15:00:03+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f509f713127", "title": "[83] Data Replicada #2: Do Self-Construal and Group Size Influence How People Make Choices on Behalf of a Group?", "url": "https://datacolada.org/83", "published_at": "2020-01-15T15:00:15+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a0004c27", "title": "[82] Data Replicada #1: Do Elevated Viewpoints Increase Risk Taking?", "url": "https://datacolada.org/82", "published_at": "2019-12-11T12:00:42+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a0a05012", "title": "[81] Data Replicada", "url": "https://datacolada.org/81", "published_at": "2019-12-09T12:00:28+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a17a9df4", "title": "[80] Interaction Effects Need Interaction Controls", "url": "https://datacolada.org/80", "published_at": "2019-11-20T12:00:33+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a25bef99", "title": "[79] Experimentation Aversion: Reconciling the Evidence", "url": "https://datacolada.org/79", "published_at": "2019-11-07T12:00:10+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a284117b", "title": "[78c] Bayes Factors in Ten Recent Psych Science Papers", "url": "https://datacolada.org/78c", "published_at": "2019-09-25T11:00:44+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a33bdc0e", "title": "[78b] Hyp-Chart, the Missing Link Between P-values and Bayes Factors", "url": "https://datacolada.org/78b", "published_at": "2019-09-11T11:00:37+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a3412bd8", "title": "[78a] If you think p-values are problematic, wait until you understand Bayes Factors", "url": "https://datacolada.org/78a", "published_at": "2019-09-06T11:01:28+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a350b7bb", "title": "[77] Number-Bunching: A New Tool for Forensic Data Analysis", "url": "https://datacolada.org/77", "published_at": "2019-05-25T11:00:32+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a43d6dc4", "title": "[76] Heterogeneity Is Replicable: Evidence From Maluma, MTurk, and Many Labs", "url": "https://datacolada.org/76", "published_at": "2019-04-24T11:00:10+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a44f0138", "title": "[75] Intentionally Biased: People Purposely Don’t Ignore Information They “Should” Ignore", "url": "https://datacolada.org/75", "published_at": "2019-01-29T12:00:35+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a4a2c84c", "title": "[74] In Press at Psychological Science: A New ‘Nudge’ Supported by Implausible Data", "url": "https://datacolada.org/74", "published_at": "2018-12-05T12:00:17+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a5103821", "title": "[73] Don’t Trust Internal Meta-Analysis", "url": "https://datacolada.org/73", "published_at": "2018-10-24T11:00:16+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a518aa8e", "title": "[72] Metacritic Has A (File-Drawer) Problem", "url": "https://datacolada.org/72", "published_at": "2018-07-02T11:00:21+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a5c06b9d", "title": "[71] The (Surprising?) Shape of the File Drawer", "url": "https://datacolada.org/71", "published_at": "2018-04-30T11:00:52+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a64596cc", "title": "[70] How Many Studies Have Not Been Run? Why We Still Think the Average Effect Does Not Exist", "url": "https://datacolada.org/70", "published_at": "2018-03-09T12:00:38+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a73ed794", "title": "[69] Eight things I do to make my open research more findable and understandable", "url": "https://datacolada.org/69", "published_at": "2018-02-06T12:00:50+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a79c312d", "title": "[68] Pilot-Dropping Backfires (So Daryl Bem Probably Did Not Do It)", "url": "https://datacolada.org/68", "published_at": "2018-01-25T12:00:26+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a7d787d2", "title": "[67] P-curve Handles Heterogeneity Just Fine", "url": "https://datacolada.org/67", "published_at": "2018-01-08T12:00:02+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a86bc5e2", "title": "[66] Outliers: Evaluating A New P-Curve Of Power Poses", "url": "https://datacolada.org/66", "published_at": "2017-12-06T12:00:15+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a88870d6", "title": "[65] Spotlight on Science Journalism: The Health Benefits of Volunteering", "url": "https://datacolada.org/65", "published_at": "2017-11-13T12:00:06+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a8a5af57", "title": "[64] How To Properly Preregister A Study", "url": "https://datacolada.org/64", "published_at": "2017-11-06T12:00:35+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a8fdbf89", "title": "[63] “Many Labs” Overestimated The Importance of Hidden Moderators", "url": "https://datacolada.org/63", "published_at": "2017-10-20T11:00:52+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50a913e028", "title": "[62] Two-lines: The First Valid Test of U-Shaped Relationships", "url": "https://datacolada.org/62", "published_at": "2017-09-18T11:00:37+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50aa075525", "title": "[61] Why p-curve excludes ps>.05", "url": "https://datacolada.org/61", "published_at": "2017-06-15T11:00:02+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50aae430bc", "title": "[60] Forthcoming in JPSP: A Non-Diagnostic Audit of Psychological Research", "url": "https://datacolada.org/60", "published_at": "2017-05-08T11:00:04+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50aae466cc", "title": "[59] PET-PEESE Is Not Like Homeopathy", "url": "https://datacolada.org/59", "published_at": "2017-04-12T11:00:15+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50ab67988b", "title": "[58] The Funnel Plot is Invalid Because of This Crazy Assumption: r(n,d)=0", "url": "https://datacolada.org/58", "published_at": "2017-03-21T11:00:29+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50ab8d2633", "title": "[57] Interactions in Logit Regressions: Why Positive May Mean Negative", "url": "https://datacolada.org/57", "published_at": "2017-02-23T13:25:20+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50ac80ed0b", "title": "[56] TWARKing: Test-Weighting After Results are Known", "url": "https://datacolada.org/56", "published_at": "2017-01-03T12:03:46+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50acc6f810", "title": "[55] The file-drawer problem is unfixable, and that’s OK", "url": "https://datacolada.org/55", "published_at": "2016-12-17T22:10:13+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50ad41694a", "title": "[54] The 90x75x50 heuristic: Noisy & Wasteful Sample Sizes In The “Social Science Replication Project”", "url": "https://datacolada.org/54", "published_at": "2016-11-01T11:00:26+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50ad739d33", "title": "[53] What I Want Our Field To Prioritize", "url": "https://datacolada.org/53/", "published_at": "2016-09-30T09:21:21+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50ad835ff7", "title": "[52] Menschplaining: Three Ideas for Civil Criticism", "url": "https://datacolada.org/52", "published_at": "2016-09-26T11:00:30+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50adbe6a37", "title": "[51] Greg vs. Jamal: Why Didn’t Bertrand and Mullainathan (2004) Replicate?", "url": "https://datacolada.org/51", "published_at": "2016-09-06T11:00:00+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50ae9db153", "title": "[50] Teenagers in Bikinis: Interpreting Police-Shooting Data", "url": "https://datacolada.org/50", "published_at": "2016-07-14T11:00:30+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50af899ef3", "title": "[49] P-Curve Won’t Do Your Laundry, But Will Identify Replicable Findings", "url": "https://datacolada.org/49", "published_at": "2016-06-14T11:01:51+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50b05fa98f", "title": "[48] P-hacked Hypotheses Are Deceivingly Robust", "url": "https://datacolada.org/48", "published_at": "2016-04-28T11:00:03+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50b0eaa89a", "title": "[47] Evaluating Replications: 40% Full ≠ 60% Empty", "url": "https://datacolada.org/47", "published_at": "2016-03-03T19:00:29+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50b122b87c", "title": "[46] Controlling the Weather", "url": "https://datacolada.org/46", "published_at": "2016-02-02T12:00:58+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50b1d2c8f2", "title": "[45] Ambitious P-Hacking and P-Curve 4.0", "url": "https://datacolada.org/45", "published_at": "2016-01-14T13:50:49+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50b24ec1a4", "title": "[44] AsPredicted: Pre-registration Made Easy", "url": "https://datacolada.org/44", "published_at": "2015-12-01T11:59:04+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50b28dc870", "title": "[43] Rain & Happiness: Why Didn’t Schwarz & Clore (1983) ‘Replicate’ ?", "url": "https://datacolada.org/43", "published_at": "2015-11-16T12:00:12+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50b2fa47b6", "title": "[42] Accepting the Null: Where to Draw the Line?", "url": "https://datacolada.org/42", "published_at": "2015-10-28T11:00:45+00:00" }, { "id": "01a0c511-c787-73bd-bd71-2f50b344e93d", "title": "[41] Falsely Reassuring: Analyses of ALL p-values", "url": "https://datacolada.org/41", "published_at": "2015-08-24T11:00:32+00:00" } ] posts Claim your blog
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2026

[139] Artificial Deadlines (Part 2): Retrograding Ariely & Wertenbroch (2002)original ↗
2 Sept 2026
[138] Artificial Deadlines (Part 1): Evidence of Fraud in an Influential Study About Procrastinationoriginal ↗
31 Aug 2026
[137] OSF Will Stop Accepting Your Research Files, You Can Use ResearchBox Insteadoriginal ↗
11 Aug 2026
[136] Metadata Falsificada: The Cover-Up File in Gino v. Harvardoriginal ↗
3 Jul 2026
[134] Figuring Out Figure 1original ↗
19 Mar 2026
[133] Heterofriendly: The Intuition for Why You Always Need Robust Standard Errorsoriginal ↗
2 Mar 2026
[132] statuser: R in user-friendly modeoriginal ↗
16 Feb 2026

2025

[131] Bending Over Backwards: The Quadratic Puts the U in AIoriginal ↗
10 Dec 2025
[130] ResearchBox: Even Easier to Use and More Transparently Permanent than Beforeoriginal ↗
17 Nov 2025
[129] P-curve works in practice, but would it work if you dropped a piano on it?original ↗
23 Sept 2025
[128] LinkedOut: The Best Published Audit Study, And Its Interesting Shortcomingoriginal ↗
23 Jun 2025
[127] Meaningless Means #4: Correcting Scientific Misinformationoriginal ↗
18 Jun 2025
[126] Stimulus Plotsoriginal ↗
2 Jun 2025
[125] “Complexity” 2: Don’t be mean to the medianoriginal ↗
1 Apr 2025
[124] “Complexity”: 75% of participants missed comprehension questions in AER paper critiquing Prospect Theoryoriginal ↗
14 Mar 2025
[123] Dear Political Scientists: The binning estimator violates ceteris paribusoriginal ↗
5 Mar 2025
[122] Arresting Flexibility: A QJE field experiment on police behavior with about 40 outcome variablesoriginal ↗
7 Jan 2025

2024

[121] Dear Political Scientists: Don’t Bin, GAM Insteadoriginal ↗
3 Dec 2024
[120] Off-Label Smirnov: How Many Subjects Show an Effect in Between-Subjects Experiments?original ↗
16 Sept 2024
[119] A Hidden Confound in a Psych Methods Pre‑registrations Critiqueoriginal ↗
2 Sept 2024
[118] Harvard’s Gino Report Reveals How A Dataset Was Alteredoriginal ↗
9 Jul 2024
[117] The Impersonator: The Fake Data Were Coming From Inside the Laboriginal ↗
12 Jun 2024
[116] Our (First?) Day In Courtoriginal ↗
8 May 2024

2023

[115] Preregistration Prevalenceoriginal ↗
13 Nov 2023
[114] Exhibits 3, 4, and 5original ↗
16 Sept 2023
[113] Data Litigada: Thank You (And An Update)original ↗
1 Sept 2023
[112] Data Falsificada (Part 4): “Forgetting The Words”original ↗
30 Jun 2023
[111] Data Falsificada (Part 3): “The Cheaters Are Out of Order”original ↗
23 Jun 2023
[110] Data Falsificada (Part 2): “My Class Year Is Harvard”original ↗
20 Jun 2023
[109] Data Falsificada (Part 1): “Clusterfake”original ↗
17 Jun 2023
[108] MRAN is Dead, long live GRANoriginal ↗
28 Apr 2023
[107] Meaningless Means #3: The Truth About Liesoriginal ↗
28 Feb 2023

2022

[106] Meaningless Means #2: The Average Effect of Nudging in Academic Publications is 8.7%original ↗
29 Nov 2022
[105] Meaningless Means #1: The Average Effect of Nudging Is d = .43original ↗
3 Nov 2022
[104] Meaningless Means: Some Fundamental Problems With Meta-Analytic Averagesoriginal ↗
1 Nov 2022
[103] Mediation Analysis is Counterintuitively Invalidoriginal ↗
26 Sept 2022
[102] R on Steroids: Running WAY faster simulations in Roriginal ↗
6 Sept 2022
[101] Transparency Makes Research Evaluable: Evaluating a Field Experiment on Crime Published in Natureoriginal ↗
28 Apr 2022
[100] Groundhog 2.0: Further addressing the threat R poses to reproducible researchoriginal ↗
8 Apr 2022

2021

[99] Hyping Fisher: The Most Cited 2019 QJE Paper Relied on an Outdated Stata Default to Conclude Regression p-values Are Inadequateoriginal ↗
13 Oct 2021
[98] Evidence of Fraud in an Influential Field Experiment About Dishonestyoriginal ↗
17 Aug 2021
[97] Data Replicada #10: Does Goal Conflict Affect Time Spent on Work and Leisure?original ↗
4 May 2021
[96] Madam Speaker: Are Female Presenters Treated Worse in Econ Seminars?original ↗
30 Apr 2021
[95] Groundhog: Addressing The Threat That R Poses To Reproducible Researchoriginal ↗
5 Jan 2021

2020

[94] Data Replicada #9: Are Progression Ads More Credible?original ↗
3 Dec 2020
[93] ResearchBox: Open Research Made Easyoriginal ↗
30 Oct 2020
[92] Data Replicada #8: Is The Left-Digit Bias Stronger When Prices Are Presented Side-By-Side?original ↗
1 Oct 2020
[91] p-hacking fast and slow: Evaluating a forthcoming AER paper deeming some econ literatures less trustworthyoriginal ↗
15 Sept 2020
[90] Data Replicada #7: Does Displaying Multiple Copies of a Product Increase Its Perceived Effectiveness?original ↗
18 Aug 2020
[89] Data Replicada #6: The Problem of (Weird) Differential Attritionoriginal ↗
21 Jul 2020
[88] The Hot-Hand Artifact for Dummies & Behavioral Scientistsoriginal ↗
27 May 2020
[87] Data Replicada #5: Do Human-Like Products Inspire More Holistic Judgments?original ↗
20 May 2020
[86] The Data Colada Seminar Seriesoriginal ↗
20 Apr 2020
[85] Data Replicada #4: The Problem of Hidden Confoundsoriginal ↗
10 Mar 2020
[84] Data Replicada #3: Does Self-Concept Uncertainty Influence Magazine Subscription Choice?original ↗
11 Feb 2020
[83] Data Replicada #2: Do Self-Construal and Group Size Influence How People Make Choices on Behalf of a Group?original ↗
15 Jan 2020

2019

[82] Data Replicada #1: Do Elevated Viewpoints Increase Risk Taking?original ↗
11 Dec 2019
[81] Data Replicadaoriginal ↗
9 Dec 2019
[80] Interaction Effects Need Interaction Controlsoriginal ↗
20 Nov 2019
[79] Experimentation Aversion: Reconciling the Evidenceoriginal ↗
7 Nov 2019
[78c] Bayes Factors in Ten Recent Psych Science Papersoriginal ↗
25 Sept 2019
[78b] Hyp-Chart, the Missing Link Between P-values and Bayes Factorsoriginal ↗
11 Sept 2019
[78a] If you think p-values are problematic, wait until you understand Bayes Factorsoriginal ↗
6 Sept 2019
[77] Number-Bunching: A New Tool for Forensic Data Analysisoriginal ↗
25 May 2019
[76] Heterogeneity Is Replicable: Evidence From Maluma, MTurk, and Many Labsoriginal ↗
24 Apr 2019
[75] Intentionally Biased: People Purposely Don’t Ignore Information They “Should” Ignoreoriginal ↗
29 Jan 2019

2018

[74] In Press at Psychological Science: A New ‘Nudge’ Supported by Implausible Dataoriginal ↗
5 Dec 2018
[73] Don’t Trust Internal Meta-Analysisoriginal ↗
24 Oct 2018
[72] Metacritic Has A (File-Drawer) Problemoriginal ↗
2 Jul 2018
[71] The (Surprising?) Shape of the File Draweroriginal ↗
30 Apr 2018
[70] How Many Studies Have Not Been Run? Why We Still Think the Average Effect Does Not Existoriginal ↗
9 Mar 2018
[69] Eight things I do to make my open research more findable and understandableoriginal ↗
6 Feb 2018
[68] Pilot-Dropping Backfires (So Daryl Bem Probably Did Not Do It)original ↗
25 Jan 2018
[67] P-curve Handles Heterogeneity Just Fineoriginal ↗
8 Jan 2018

2017

[66] Outliers: Evaluating A New P-Curve Of Power Posesoriginal ↗
6 Dec 2017
[65] Spotlight on Science Journalism: The Health Benefits of Volunteeringoriginal ↗
13 Nov 2017
[64] How To Properly Preregister A Studyoriginal ↗
6 Nov 2017
[63] “Many Labs” Overestimated The Importance of Hidden Moderatorsoriginal ↗
20 Oct 2017
[62] Two-lines: The First Valid Test of U-Shaped Relationshipsoriginal ↗
18 Sept 2017
[61] Why p-curve excludes ps>.05original ↗
15 Jun 2017
[60] Forthcoming in JPSP: A Non-Diagnostic Audit of Psychological Researchoriginal ↗
8 May 2017
[59] PET-PEESE Is Not Like Homeopathyoriginal ↗
12 Apr 2017
[58] The Funnel Plot is Invalid Because of This Crazy Assumption: r(n,d)=0original ↗
21 Mar 2017
[57] Interactions in Logit Regressions: Why Positive May Mean Negativeoriginal ↗
23 Feb 2017
[56] TWARKing: Test-Weighting After Results are Knownoriginal ↗
3 Jan 2017

2016

[55] The file-drawer problem is unfixable, and that’s OKoriginal ↗
17 Dec 2016
[54] The 90x75x50 heuristic: Noisy & Wasteful Sample Sizes In The “Social Science Replication Project”original ↗
1 Nov 2016
[53] What I Want Our Field To Prioritizeoriginal ↗
30 Sept 2016
[52] Menschplaining: Three Ideas for Civil Criticismoriginal ↗
26 Sept 2016
[51] Greg vs. Jamal: Why Didn’t Bertrand and Mullainathan (2004) Replicate?original ↗
6 Sept 2016
[50] Teenagers in Bikinis: Interpreting Police-Shooting Dataoriginal ↗
14 Jul 2016
[49] P-Curve Won’t Do Your Laundry, But Will Identify Replicable Findingsoriginal ↗
14 Jun 2016
[48] P-hacked Hypotheses Are Deceivingly Robustoriginal ↗
28 Apr 2016
[47] Evaluating Replications: 40% Full ≠ 60% Emptyoriginal ↗
3 Mar 2016
[46] Controlling the Weatheroriginal ↗
2 Feb 2016
[45] Ambitious P-Hacking and P-Curve 4.0original ↗
14 Jan 2016

2015

[44] AsPredicted: Pre-registration Made Easyoriginal ↗
1 Dec 2015
[43] Rain & Happiness: Why Didn’t Schwarz & Clore (1983) ‘Replicate’ ?original ↗
16 Nov 2015
[42] Accepting the Null: Where to Draw the Line?original ↗
28 Oct 2015
[41] Falsely Reassuring: Analyses of ALL p-valuesoriginal ↗
24 Aug 2015
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