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These are some of my favorite recent-history misleading graphs from real life. Watch the video for a few examples: Can’t see the video? Click here to watch it on YouTube. Misleading Graphs: The Missing Baseline. The Times leaves the rest behind…or does it? Image: University of Kentucky.

Oct 3, 2014 · The numbers don't lie, but humans do. H/T Data Is Ugly on Reddit. 1. The time an upside down y-axis made "Stand Your Ground" seem much more reasonable. 2. The time 7 million was 5x more than 6 million. 3. The Govenor race where one guy's 37% was WAY more than just 37% 4.

Dec 7, 2020 · While it’s fairly easy to spot a truncated y-axis or missing label, graph designers are getting smarter about how they mislead. From logarithmic scales to time travel, here are a few of the worst Covid-19 related graphs to come out this year.

May 17, 2023 · There are several ways in which misleading graphs can be generated. Let me show the most popular misleading graphs and how anyone can easily identify those! Look at the graph at the top...

Feb 12, 2025 · In this article, I will show you 15 common misleading data visualization examples. 1. Cherry Picking. Cherry-picking is coined from the notion that if you only pick the healthiest and ripest fruit, anyone that sees you do that may be forced to believe that all of the fruits on the tree are healthy, even though that isn’t the case.

May 31, 2023 · Bad data visualization is a visualization that can mislead or misinform the viewer. As Alberto Cairo mentioned in his paper “Graphic Lies, Misleading Visuals”, bad data visualization has the following properties. A bad visualization hides relevant data or doesn’t show much data to mislead the viewer.

Feb 17, 2025 · How writers use misleading graphs for manipulation. Omitting the baseline; Manipulating the Y-axis; Cherry picking data; Using the wrong graph; Going against conventions; Misleading Coronavirus graphs; 1. Omitting the baseline. Omitting baselines, or the axis of a graph, is one of the most common ways data is manipulated in graphs.

Feb 3, 2024 · From dissecting dubious bar charts to unveiling the cunning of selective data reporting, you’ll emerge with a staunch toolkit to discern and design with integrity. Dive into an exposé of visual deceit, where you unravel the craft, peel back the curtain on manipulation tactics, and champion the crusade for graphical integrity.

Jan 28, 2021 · When generating data visualizations, it can be easy to make mistakes that lead to faulty interpretation, especially if you’re just starting out. Below are five common mistakes you should be aware of and some examples that illustrate them. 1. …

Nov 28, 2020 · In this concept, you will learn how to analyze and identify misleading statistics that are represented in graphical displays. Graphs are visual representations of data. Graphs can be used to present, persuade, or even mislead the viewer. The same set of data can be presented on a graph in different ways.