Mistakes in Experimental Design and Interpretation:
This is an excellent article discussing very common errors in how people use data. We have tendencies that lead us to draw faulty conclusions from data. Given that it is important to understand what common mistakes are made to help us counter the natural tendencies.
Related: Seeing Patterns Where None Exists - Illusions, Optical and Other - Understanding Data - Dangers of Forgetting the Proxy Nature of Data - How to Deal with False Research Findings - descriptive “theory” and normative theory
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