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How Charts Lie

Getting Smarter about Visual Information

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About this listen

We've all heard that a picture is worth 1,000 words, but what if we don't understand what we're looking at? Social media has made charts, infographics, and diagrams ubiquitous - and easier to share than ever. We associate charts with science and reason; the flashy visuals are both appealing and persuasive. Pie charts, maps, bar and line graphs, and scatter plots (to name a few) can better inform us, revealing patterns and trends hidden behind the numbers we encounter in our lives. In short, good charts make us smarter - if we know how to read them.

However, they can also lead us astray. Charts lie in a variety of ways - displaying incomplete or inaccurate data, suggesting misleading patterns, and concealing uncertainty - or are frequently misunderstood, such as the confusing cone of uncertainty maps shown on TV every hurricane season. To make matters worse, many of us are ill-equipped to interpret the visuals that politicians, journalists, advertisers, and even our employers present each day, enabling bad actors to easily manipulate them to promote their own agendas.

In How Charts Lie, data visualization expert Alberto Cairo teaches us to not only spot the lies in deceptive visuals, but also to take advantage of good ones to understand complex stories.

©2019 Alberto Cairo (P)2019 Gildan Media
Mathematics Media Studies Social Sciences
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While I enjoyed entirely the contents, I missed some of them too. What is missing to make this package complete is a pdf to download with the book containing just the charts that are discussed in the book. I am a visual person, it's impossible for me to fully grasp references and/or descriptions to charts and data visualisations I can't see. To be improved.

Great book, but incomplete listen

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I wanted to love this book as I really liked it’s tone, compass and morality. Unfortunately it was let down massively by a lack of a pdf showing the charts discussed. I found this hard to swallow considering the author repeatedly and persuasively talks about responsibility when it comes to statistics and viewing data.

An ironic lack of charts

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I have no problem with the content, however not including an accompanying pdf with the frequently mentioned charts is a massive mistake . It makes large sections of this book needlessly more difficult to follow.

Missed opportunity, where is the pdf?

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