Data dredging, also known as data fishing or p-hacking, refers to the practice of analyzing data multiple times or exploring numerous hypotheses until a statistically significant result is found. It involves conducting numerous statistical tests or examining various combinations of variables in a dataset without a priori hypotheses, leading to an increased likelihood of obtaining false-positive results.
Mining for meaning? Be cautious—Data Dredging
can lead to misleading results. Analyze with integrity. 🛠️📊 #DataDredging #Statistics #MentalModels
#Research #Bias #DataScience
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