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The Simpson’s Paradox can completely flip your data analysis results. You might see a negative relationship overall, but once you split the data into groups, it turns positive. What’s going on? Confounder variables. These hidden factors affect both your input and your target variable, distorting the overall picture. So before trusting your results, always check for confounders. I have recently released a new module about the Simpson's Paradox in the Statistics Globe Hub: https://statisticsglobe.
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