Don't Look. See! Are We Blinded by Data (Visualization)?
summary
Argues that people reliably misread data and visuals and gives concrete fixes: vending machines cause >1,700 US injuries yearly and kill more than sharks and crocs combined, a Florida firearms chart is misleading because the y‑axis is inverted, and zooming the y‑scale (81–85% vs full 0–100%) changes interpretation. Describes built tools: an interactive patient‑record viewer that combines machine learning and NLP to help clinicians, a DataInc system (with Microsoft Research) for hand‑drawn personal visualizations, and classroom tools for teaching data literacy that support exploration and improve comprehension.
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chapters (10)
- 0:00Introduction and welcome
- 1:07How we make decisions
- 2:55Mental shortcuts in decision-making
- 5:45Role of data visualization
- 7:36Misleading data presentation
- 9:24Cognitive bias in charts
- 11:28Better ways to communicate data
- 13:35Making data relatable
- 15:05Engaging with personal data
- 17:10Teaching data literacy
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