Data Colada
Menu
  • Home
  • Table of Contents
  • Feedback Policy
  • About
Menu

Category: Fake data

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

Posted on July 9, 2024May 4, 2025 by Joe Simmons

As you may know, Harvard professor Francesca Gino is suing us for defamation after (1) we alerted Harvard to evidence of fraud in four studies that she co-authored, (2) Harvard investigated and placed her on administrative leave, and (3) we summarized the evidence in four blog posts. As part of their investigation, Harvard wrote a…

Read more

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

Posted on June 12, 2024June 13, 2024 by Uri Simonsohn

A previous version of this post was supposed to go live in January 2019. But the day before it was scheduled, the Data Colada team (Uri, Leif, and Joe) received an email that we took to be a potential death threat. After discussions with the local police, the FBI, and our families, we decided to…

Read more

[114] Exhibits 3, 4, and 5

Posted on September 16, 2023November 14, 2023 by Uri, Joe, & Leif

We recently presented evidence of data tampering in four retracted papers co-authored by Harvard Business School professor Francesca Gino. She is now suing the three of us (and Harvard University). Gino’s lawsuit (.htm), like many lawsuits, contains a number of Exhibits that present information relevant to the case. For example, the lawsuit contains some Exhibits…

Read more

[112] Data Falsificada (Part 4): "Forgetting The Words"

Posted on June 30, 2023June 30, 2023 by Uri, Joe, & Leif

This is the last post in a four-part series detailing evidence of fraud in four academic papers co-authored by Harvard Business School Professor Francesca Gino. It is worth reiterating two things. First, to the best of our knowledge, none of Gino’s co-authors carried out or assisted with the data collection for the studies in this…

Read more

[111] Data Falsificada (Part 3): "The Cheaters Are Out of Order"

Posted on June 23, 2023June 23, 2023 by Uri, Joe, & Leif

This is the third in a four-part series of posts detailing evidence of fraud in four academic papers co-authored by Harvard Business School Professor Francesca Gino. It is worth reiterating that to the best of our knowledge, none of Gino’s co-authors carried out or assisted with the data collection for the studies in this series….

Read more

[110] Data Falsificada (Part 2): "My Class Year Is Harvard"

Posted on June 20, 2023June 20, 2023 by Uri, Joe, & Leif

This is the second in a four-part series of posts detailing evidence of fraud in four academic papers co-authored by Harvard Business School Professor Francesca Gino. It is worth reiterating that to the best of our knowledge, none of Gino’s co-authors carried out or assisted with the data collection for the studies in this series….

Read more

[109] Data Falsificada (Part 1): "Clusterfake"

Posted on June 17, 2023June 17, 2023 by Uri, Joe, & Leif

This is the introduction to a four-part series of posts detailing evidence of fraud in four academic papers co-authored by Harvard Business School Professor Francesca Gino. In 2021, we and a team of anonymous researchers examined a number of studies co-authored by Gino, because we had concerns that they contained fraudulent data. We discovered evidence…

Read more

[98] Evidence of Fraud in an Influential Field Experiment About Dishonesty

Posted on August 17, 2021April 23, 2022 by Uri, Joe, & Leif

This post is co-authored with a team of researchers who have chosen to remain anonymous. They uncovered most of the evidence reported in this post. These researchers are not connected in any way to the papers described herein. *** In 2012, Shu, Mazar, Gino, Ariely, and Bazerman published a three-study paper in PNAS (.htm) reporting…

Read more

[77] Number-Bunching: A New Tool for Forensic Data Analysis

Posted on May 25, 2019November 18, 2020 by Uri Simonsohn

In this post I show how one can analyze the frequency with which values get repeated within a dataset – what I call “number-bunching” – to statistically identify whether the data were likely tampered with. Unlike Benford’s law (.htm), and its generalizations, this approach examines the entire number at once, not only the first or…

Read more

[74] In Press at Psychological Science: A New 'Nudge' Supported by Implausible Data

Posted on December 5, 2018November 18, 2020 by Guest co-author: Frank Yu, with Leif and Uri

Today Psychological Science issued a Corrigendum (.htm) and an expression of concern (htm) for a paper originally posted online in May 2018 (.htm). This post will spell out the data irregularities we uncovered that eventually led to the two postings from the journal today. We are not convinced that those postings are sufficient. It is…

Read more
  • 1
  • 2
  • Next

Get Colada email alerts.

Join 10.5K other subscribers

Social media

Recent Posts

  • [125] "Complexity" 2: Don't be mean to the median
  • [124] "Complexity": 75% of participants missed comprehension questions in AER paper critiquing Prospect Theory
  • [123] Dear Political Scientists: The binning estimator violates ceteris paribus
  • [122] Arresting Flexibility: A QJE field experiment on police behavior with about 40 outcome variables
  • [121] Dear Political Scientists: Don't Bin, GAM Instead

Get blogpost email alerts

Join 10.5K other subscribers

tweeter & facebook

We announce posts on Twitter
We announce posts on Bluesky
And link to them on our Facebook page

Posts on similar topics

Fake data
  • [118] Harvard’s Gino Report Reveals How A Dataset Was Altered
  • [117] The Impersonator: The Fake Data Were Coming From Inside the Lab
  • [114] Exhibits 3, 4, and 5
  • [112] Data Falsificada (Part 4): "Forgetting The Words"
  • [111] Data Falsificada (Part 3): "The Cheaters Are Out of Order"
  • [110] Data Falsificada (Part 2): "My Class Year Is Harvard"
  • [109] Data Falsificada (Part 1): "Clusterfake"
  • [98] Evidence of Fraud in an Influential Field Experiment About Dishonesty
  • [77] Number-Bunching: A New Tool for Forensic Data Analysis
  • [74] In Press at Psychological Science: A New 'Nudge' Supported by Implausible Data

search

© 2021, Uri Simonsohn, Leif Nelson, and Joseph Simmons. For permission to reprint individual blog posts on DataColada please contact us via email..