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How data are read, visualised, and misread.
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How to visualise data the right way — part 1
Colour, ordering, scales, and chart type quietly guide attention, exaggerate differences, and hide patterns. A field guide to reading charts critically.
Feb 18, 2026
Survivorship bias
A subtle error in reasoning: we focus on the data that remain visible and ignore what is missing — and the missing cases often carry the crucial information.
Feb 5, 2026
How statistics lie
Statistics can be correct and still misleading. Selective presentation, framing, and visual emphasis can turn accurate results into a distorted story.
Jan 20, 2026
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