[109] Data Falsificada (Part 1): “Clusterfake”

Link: https://datacolada.org/109



Two summers ago, we published a post (Colada 98: .htm) about a study reported within a famous article on dishonesty (.htm). That study was a field experiment conducted at an auto insurance company (The Hartford). It was supervised by Dan Ariely, and it contains data that were fabricated. We don’t know for sure who fabricated those data, but we know for sure that none of Ariely’s co-authors – Shu, Gino, Mazar, or Bazerman – did it [1]. The paper has since been retracted (.htm).

That auto insurance field experiment was Study 3 in the paper.

It turns out that Study 1’s data were also tampered with…but by a different person.

That’s right:
Two different people independently faked data for two different studies in a paper about dishonesty.

The paper’s three studies allegedly show that people are less likely to act dishonestly when they sign an honesty pledge at the top of a form rather than at the bottom of a form. Study 1 was run at the University of North Carolina (UNC) in 2010. Gino, who was a professor at UNC prior to joining Harvard in 2010, was the only author involved in the data collection and analysis of Study 1 [2].

Author(s): Uri Simonsohn, Leif Nelson, and Joseph Simmons

Publication Date: 17 Jun 2023

Publication Site: Data Colada

Cell Maps – Critical Comments

Link: https://logiccomppeople.blogspot.com/2021/04/cell-maps-critical-comments.html



Cell maps are intended as tools for reviewing spreadsheets. If you spot an error or an inconsistency in the cell map this should be recorded and, if practicable, corrected.

The cell mapping software provides a method for recording a reviewer’s comments. All comments are linked to a specific map (or data table), The comments for a workbook under review are collated in a single worksheet.

Publication Date: 18 April 2021

Publication Site: Logic, Computing, and People