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The Untruthful Art: Five ways of misrepresenting Data

Talkat NDC Oslo 2021 · 2021-11-29..12-03· [data-visualization]
slides:none on file

Lists five concrete tricks: truncated y-axis (sets baselines to exaggerate spikes), cherry-picking (selecting years or obscure metrics to hide trends), misleading comparisons (absolute vs per‑capita, cumulative vs period totals), and false causality where correlated series are presented as linked. Examples use Power BI and public sources — Bureau of Labor Statistics, EPA, Reuters, National Review, Fox News, BJP Twitter, UK COVID reports — and highlight surprises like using a logarithmic scale or maps that hide population density.

AI-written summary · about

  1. 0:00Start
  2. 2:46What DECEPTION looks like
  3. 13:04Look at the SCAFFOLDING
  4. 28:43Compare APPLES to APPLES
  5. 47:32People have a limited ATTENTION SPAN
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