Bias in data collection and analysis often stems from the very source of the data. It's critical to scrutinize the origin - whether it's a survey, database, or observational study - for potential biases. This includes considering who is collecting the data, what their motivations might be, and whether certain groups or perspectives might be underrepresented or overrepresented. By understanding the source, we can take the first steps in confronting and correcting biases to ensure our data provides a more comprehensive story.
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