Correlation vs. cosine similarity
Scatterplots can be useful for showing the relationship between two things, because they allow you to encode data simultaneously on a horizontal x-axis and vertical y-axis to see whether and what relationship exists. They tend to be more frequently used in scientific fields (and perhaps, because of this, are sometimes viewed as complicated to
... See moreCole Nussbaumer Knaflic • Storytelling With Data
the failure to distinguish between correlation and causality. This problem arises when researchers observe a correlation between two variables and assume that one caused the other. Once you are attuned to this mistake, you will see and hear it everywhere—especially in the media. Vegetarians have higher IQs. Nightlights lead to nearsightedness. Kids
... See moreMichael J. Mauboussin • Think Twice: Harnessing the Power of Counterintuition
Causation vs Correlation 📜
Causation: one event directly produces another.
Correlation: Two or more events occur together, but it is not proven that one caused the other. (Confirmation bias will want you to believe there is a connection).