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Fake News: Graphs & Statistics

 

The use of graphs and statistics can be helpful when summarizing data and information. As you can imagine, the way it is presented has a profound impact on decision-making and how people are informed.

Misleading graphs and statistics can omit relevant information or even distort and manipulate data to their advantage.

The two common forms are:

  • Cherry picking
    • Selecting only certain data points or timeframes to focus on
  • Simpson's Paradox
    • An opposite trend can appear depending on how data sets are grouped

The videos on the right provide excellent tips and guidelines to keep in mind.

Books

Videos

Source: Lea Gaslowitz, TED-Ed (YouTube)

Source: Mark Liddell, TED-Ed (YouTube)

Spotting Misleading Graphs

Look out for the following:

  • Irrelevant labels for the X and Y axes
  • Inaccurate or distorted scales
  • Inconsistent data points
  • Lacks specificity
  • Not representative
  • The context, history and/or timeframe

Ask yourself:

  • What is the graph trying to tell the viewer?
  • Does it seem unbelievable or too good to be true?

Data & Statistical Literacy

Visit the Data & Statistics Concepts page in the Data & Statistics Research Guide for more resources.