Confounding variables are extraneous variables that correlate with both the independent and dependent variables, potentially leading to a false inference about the relationship between them. Properly identifying and controlling for confounders is crucial in research to ensure that the observed effects are genuinely due to the independent variable and not influenced by these hidden factors.