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Category: Fake data

[114] Exhibits 3, 4, and 5

Posted on September 16, 2023September 16, 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…

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[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…

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[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….

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[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….

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[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…

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[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…

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[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…

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[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…

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[40] Reducing Fraud in Science

Posted on June 29, 2015February 11, 2020 by Uri Simonsohn

Fraud in science is often attributed to incentives: we reward sexy-results→fraud happens. The solution, the argument goes, is to reward other things.  In this post I counter-argue, proposing three alternative solutions. Problems with the Change the Incentives solution. First, even if rewarding sexy-results caused fraud, it does not follow we should stop rewarding sexy-results. We…

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[21] Fake-Data Colada: Excessive Linearity

Posted on May 8, 2014February 11, 2020 by Leif and Uri

Recently, a psychology paper (.html) was flagged as possibly fraudulent based on statistical analyses (.pdf). The author defended his paper (.html), but the university committee investigating misconduct concluded it had occurred (.pdf). In this post we present new and more intuitive versions of the analyses that flagged the paper as possibly fraudulent. We then rule…

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Recent Posts

  • [114] Exhibits 3, 4, and 5
  • [113] Data Litigada: Thank You (And An Update)
  • [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"

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Posts on similar topics

Fake data
  • [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
  • [40] Reducing Fraud in Science
  • [21] Fake-Data Colada: Excessive Linearity

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