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When companies work with big data, a major and common mistake is to assume that correlation implies causation.
Scott Anthony of the Harvard Business Review describes this scene as a "classic example" of the informal fallacy of assuming that correlation implies causation.
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But does correlation imply causation in this case with education improving financial outcomes of youth?
Beyond the obvious candidates like suggestions of correlation implying causation and improper use of statistical techniques, perhaps one of the greatest enablers of fake news in the memes I come across is sampling bias and selective definitions.
However, we are totally aware that not any correlation does imply causation, yet we believe that in this particular case and according to the previous experiences, our observations are in agreement with the concept of a close relationship between the availability of the secondary metabolites and self-defense systems of the plant species against abiotic stresses.
Although we observed significant correlations between insular volume or surface asymmetries and functional lateralization of gesture and language, correlations never imply causation.
Where things go wrong is when we reach beyond these correlations towards implying causation.
In many cases the generation of the co-expression network relies heavily on filtering and correlation measures of a snapshot of the cellular gene expression at a certain time or environment; further, correlation measures are almost always accompanied by the caveat that correlation "doesn't imply causation".
Correlation doesn't imply causation.
Remember that correlation doesn't imply causation.
Remember, correlation does not imply causation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com