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Confounding variables are variables that aren't accounted for that may affect the outcome of an experiment. For example, they are things you don't expect to be affecting something. Say we are doing any experiment, and we have set it up to test variables X and Y. However, at the end of the experiment, we find that another variable (variable Z) was part of the experiment but we didn't plan on it being there in the first place. Basically, you need to set it up so that no other variables outside of the ones you want to take place are in the experiment.

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Q: Why do specifics matter in behavioral studies?
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