![]() The art of “cherry picking”, also known as the fallacy of incomplete evidence is the practice of selecting results that fit your claim and excluding those that don't. What are Data Fallacies❓ĭata Fallacies are common tricks that data can play on you which lead to mistakes in data interpretation and analysis This article points out the common data fallacies and how to avoid them □ Cherry Picking □ However, having identified the data you need, and why you need it, you still may not be out of the woods. The data itself may be incomplete, inconsistent, or unavailable. It may be difficult to collect or identify the right data streams. While working on drawing meaningful conclusions from your data, you are likely to encounter many challenges. However, data analysis is not something to jump into blindly. Whether it be profitability analysis or looking for ways to improve processes, data guides the process. “The core advantage of data is that it tells you something about the world that you didn’t know before.” ~ Hilary Mason, data scientist and founder of Fast Forward Labs Introduction□ĭata collection and analysis are essential to the long-term success of your business.
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