Stop Reducing Us into Simplistic Numbers: An Academic Outcry!

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.