The inflated t-statistic, may in turn, lead us to incorrectly reject null hypotheses, about population values of the parameters of the regression model more often than we would if the standard errors were correctly estimated.
The exaggerated t-statistic, might consequently, cause us to erroneously reject null hypotheses regarding population values of regression model parameters more frequently than we would if standard errors were accurately calculated.