Definition

In data analysis and research, systematic errors or prejudices that skew results in a particular direction, usually the one that confirms what you wanted to believe anyway. Every analyst claims they're aware of biases and working to eliminate them, while simultaneously cherry-picking data that supports their hypothesis. It's the statistical equivalent of having a favorite child but insisting you treat them all equally.

Example Usage

Our survey might have some selection bias since we only interviewed people who responded to our emails, which automatically excludes everyone smart enough to ignore us.

Source: Research methodology and statistics terminology

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