Can controlling for variables be counterproductive

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How do Scientists (particularly social scientists) know which variables to control for, and which not to?

Suppose I for some reason had the hypothesis that people with lower empathy made better businesspeople and I conducted some research and controlled for socio-economic background. If my hypothesis was correct but low empathy was also heritable and this meant lower empathy people were more likely to have higher socio-economic backgrounds then I might find no relationship. Isn’t this a problem, ie controlling for a variable meant I got the wrong result? What am I missing?

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Anonymous 0 Comments

When you try to do a study of this nature, you’re only likely to find correlation and not causality. The problem is not likely to be “control of variable” but poor formulation of hypothesis and/or insufficiently available data to support the research. At least, that would be my take.

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