  We show that an almost trivial inequality for the first and second mean of a
random variable can be used to give non-trivial improvements on deep results.
As applications we improve on results on lower bounds for the Riemann
zeta-function on the critical line, the determinant of a skew-symmetric matrix
with entries $\pm 1$, and on the maximal order of an irreducible character of
the symmetric group.
