How to detect when a graph is manipulating your perception of data
In short: Visual data is essential for understanding complex information, but modern software makes it easy to create dishonest visuals. This video explores the various ways graphs can be used to mislead or manipulate an audience.
While well-constructed graphs help us intuitively grasp complex data, the rise of sophisticated visual software has made it easier to produce careless or even intentional distortions. Lea Gaslowitz examines the ways in which these visual tools can be used to manipulate viewers, highlighting the importance of critical observation when interpreting media-driven data visualizations.
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- Summary by Intellect · source: How to spot a misleading graph - Lea Gaslowitz
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