Stop Reducing Us into Simplistic Numbers: An Academic Outcry!

April 1, 2026Science and Technology NexusOpen Access

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Key Points

The central aim is to critique the oversimplification of complex phenomena into mere numerical representations.
Analysis of current academic practices in data representation
Comparative review of complex versus simplified data methods
Qualitative assessments from scholars on their experiences with data simplification
Identified a significant concern regarding the loss of important nuances when reducing data to numbers.
Highlighted case studies where oversimplification led to misinterpretations.
Proposed recommendations for maintaining complexity in data presentation.

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Academic outcry highlights the dangers of oversimplification in data representation, suggesting a need for more nuanced approaches.

Everything should be as simple as it can be, but not simpler

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Aziz et al. (2026) studied this question.

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