Unexplainable The data vigilantes
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Nov 8, 2023 Exploring scientific misconduct and fraud through examples like a Harvard scholar accused of fabricating findings and issues with randomized controlled trials. Highlighting the work of data sleuths who uncover duplicated photos and data issues in scientific papers. Discussing the need for collective responsibility and proposing ideas to improve the peer review system. Exploring the evolution and issues of Twitter, from a platform with great potential to a global and volatile mob.
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Prevalence of Scientific Misconduct
- Scientific misconduct is more common than many realize, with about 2% of scientists admitting to data manipulation at least once.
- Many papers get retracted yearly, and tens of thousands of scientists may engage in questionable research practices.
Data Colada Uncovers Dishonesty Study Flaws
- The 2012 dishonesty paper from Harvard showed a small signature placement change increased honesty in tax forms.
- Data Colada flagged anomalies years later, exposing potential data fabrication and leading to retractions.
Flaws in Scientific Oversight
- Scientific peer review and institutional oversight often fail to detect data fraud.
- Vigilante researchers and bloggers currently serve as a crucial last line of defense against misconduct.