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When confounding occurs, we cannot tell which variable
has affected the
dependent variable. The problem, then,
is that we do not know whether the
independent variable
or some other variable had the effects that were observed.
Thus, any conclusion that the independent variable was
effective might be
completely wrong. In that case, the
effects attributed erroneously to the
independent variable
may be artifacts, caused actually by some other variable.