  We consider nonadaptive probabilistic group testing in the linear regime,
where each of n items is defective independently with probability p in (0,1),
and p is a constant independent of n. We show that testing each item
individually is optimal, in the sense that with fewer than n tests the error
probability is bounded away from zero.
