data inflation
/dætə ɪnˈfleɪʃən/ · dat·a ɪn·fla·tion
noun
- The practice of artificially increasing the size of a dataset by adding irrelevant or redundant data points. The researcher was accused of data inflation by adding fictional survey responses to the dataset.
- A situation where data becomes less meaningful or less accurate due to the addition of irrelevant or redundant data points. The data inflation in the report made it difficult to draw reliable conclusions from the data.
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Did you know? Data inflation can lead to incorrect conclusions and misinformed decision-making, making it a significant issue in data-driven industries.