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Lincoln A. Mullen’s article chose “lynching” as an example to talk about how great visualizing data is. It tells how lynching was a big problem and how it did not get attention until data was visualized. The reason behind that might be what CM-B said in his response, November 8 – Lynching, Visualization, and Visibility, that plain data is not as easy to be absorbed as much as visualized data. Not just that it also shows how after this visualized data many good consequences happened as other studies that fall under injustice, racism and white supremacy.