Data storytelling can enlighten—but it can also deceive. When persuasive narratives meet biased framing, cherry-picked data, or misleading visuals, insights risk becoming illusions. This article explores the hidden biases embedded in data-driven storytelling—from the seduction of beautiful charts to the quiet influence of AI-generated insights—and offers practical strategies to tell stories that are not only compelling, but also credible, transparent, and grounded in truth.
The post How Not to Mislead with Your Data-Driven Story appeared first on Towards Data Science.
