Data dredging
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Data dredging (also data fishing, data snooping, and p-hacking) is the use of data mining to uncover patterns in data that can be presented as statistically significant, without first devising a specific hypothesis as to the underlying causality.
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See also
- Base rate fallacy
- Bonferroni inequalities
- Pareidolia
- Predictive analytics
- Misuse of statistics
- Overfitting
- Lincoln–Kennedy coincidences urban legend
- Post hoc analysis
- Cherry picking
- Look-elsewhere effect
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