Oftentimes, data fails to tell the whole story because it lacks diversity. When data is collected from a narrow set of sources, or only represents a segment of the population, it's inherently biased. To counteract this, it’s essential to incorporate a variety of data sets that reflect the diversity of experiences, opinions, and backgrounds. This approach can help fill in the gaps left by biased data collection and analysis, providing a more rounded and accurate picture.
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