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DATA LITERACY
6 Data Fallacies To Watch Out For
Knowing these common logic traps will help you avoid making mistakes in your analysis
In a recent article, I defined data literacy by starting with the general definition of literacy and adapting it to the data world:
This article follows a similar thread — it was inspired by the logical fallacies I learned in high school. If there are logical errors you can make in your argumentative reasoning, then there are also logical errors you can make in your data analysis and statistical reasoning.
This blog post by Geckoboard was a helpful starting point for my research:
From there, I dove into a few fallacies I have had the most experience with. The six I picked for this article are common mistakes that are easy enough to make. So keep reading to learn more about the logical traps you can fall into when working with data.
