A researcher compares the variability of scores from two independent samples drawn from normal populations. The sample variances are $s_1^2$ and $s_2^2$. She defines the $F$ test statistic as $F=\frac{s_l^2}{s_s^2}$, where $s_l^2$ is the larger of the two sample variances.
True or False: The resulting $F$ statistic can ever be less than $1$.