Pinned
The lawsuit has some interesting Exhibits.
Joe Simmons
600 posts
Joe Simmons
@jpsimmon
Prof. at Wharton. I research/teach decision making & research methods. Blog: datacolada.org ; Easy Pre-registration: aspredicted.org
- Gino's case against us has been dismissed. Scientists cannot effectively sue other scientists for exposing fraud/errors in their work. Those who work to correct the scientific record can sleep better tonight. Those who don’t want it corrected, well, I don’t care how they sleep.
- I used to teach this finding to my MBA students. It has more than 400 citations on Google Scholar. It's about dishonesty. Turns out it's fraudulent. "Evidence of Fraud in an Influential Field Experiment About Dishonesty" datacolada.org/98
- In 2021, a team of us sent a report to Harvard University detailing evidence of fraud in 4 papers (spanning 11 yrs) co-authored by HBS professor Francesca Gino. This is the 1st in a series of Data Colada posts describing that evidence.
- Fraud has so many victims, and we don’t see or hear from most of them. You can’t compete with fraud in a system that doesn’t stop it. And so we have to stop it.
- Thanks to everyone who supported us, both emotionally and financially. Thanks to our schools for the generous financial support. And thanks to our amazing lawyer, Jeffrey Pyle. We never felt alone in this, and we never felt like we had to stay silent. Thank you.
- Hypothetical: Imagine a world in which some scientists cheat and some don’t and that the cheaters can’t/don’t get caught bc nobody checks. Who’s more likely to get papers/jobs/editorial positions: cheaters or non-cheaters? Who’s more likely to have to quit?
- New Data Colada post. Harvard's Gino Report allows us to re-construct what Harvard says is one of Gino's "original" data sets. We can compare that to the posted data to see how the data were altered
- Thank you.
- In the file that Ariely sent to coauthor Nina Mazar back in 2011 (3 yrs after the study), the effect was in the wrong direction. When Nina said so, Dan told her that he had accidentally flipped the conditions when preparing the file. See Footnote 14 inReplying to @nickfountainAriely, in a statement, now says: "Getting the data file was the extent of my involvement with the data."
- Doesn’t look like any of the pre-registered effects are significant in the analyses that correct for multiple comparisons. The biggest effect - which was also not sig. after the correction - was not pre-registered. Great the authors reported everything. But the evidence is weak.
- Part 2 of Data Falsificada is now up on Data Colada: "My Class Year Is Harvard".
- An update on Gino's lawsuit against us (Data Colada). We had a hearing about our motion to dismiss, and we've learned some legal things along the way. No big news yet, but some details:
- VERY excited to announce ResearchBox, a new and easy way to share data, code, pre-regs, & materials. I love using it, both as a researcher and a reader. We hope you do too.
