How to Call B.S. on Big Data
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summary
In this article, the author provides a practical guide on how to critically analyze and call out the flaws in big data arguments. The piece highlights the growing prevalence of big data and its potential to generate misleading or false conclusions. The author presents several strategies for dealing with big data claims, including questioning the data collection methods, examining the underlying assumptions, and looking for potential biases or limitations. The article emphasizes the importance of adopting a skeptical mindset and engaging in thoughtful analysis when confronted with big data claims, rather than accepting them at face value. Overall, the guide aims to empower readers with the tools to navigate the complexities of big data and identify instances of potential misinformation.