On a regular basis, we must search for an object, such as a cell phone or a front door key that has been lost in the house. Or we might wish to locate that popular brand of cereal that seems to be hiding on the supermarket shelves amidst the sea of other options. In these and many other routine tasks, we can expect that the object of our search will be present most of the time; "target prevalence" is high. In contrast, in some very important visual search tasks, target prevalence is low. In airport security (Rubenstein, 2001) and medical screening tasks (Gur et al., 2004;Jiang, Miglioretti, Metz, & Schmidt, 2007;Pisano et al., 2005;Smith & Turnbull, 1997), for example, the targets (weapons, possible tumors) are very rare. Our desire to find these targets is high, but our expectation that one will be found in a specific stimulus is low.Recent laboratory visual search experiments have shown that miss error rates are markedly elevated at low target prevalence. Wolfe, Horowitz, and Kenner (2005) reported that an artificial search task for tools among nontool distractors on a noisy background yielded far higher miss rates when targets were rare (.30 miss rate when targets appeared on 1% of trials) than when they were frequent (.07 miss rate when targets appeared on 50% of trials). Moreover, correct target-absent reaction times (RTs) were much faster at 1% target prevalence than at 50%. Wolfe et al. (2007) replicated this "prevalence effect" using realistic X-ray airport baggage stimuli. They obtained a .46 miss rate at low prevalence (2% target frequency) and a .20 miss rate at high prevalence (50% target frequency). It is not known whether these effects are found in real-world settings with trained professionals and with grave consequences for errors. However, in light of the disquieting implications of these findings for real-world search contexts, the prevalence effect requires further scrutiny.What mechanisms underlie the prevalence effect? Wolfe et al. (2007) argued that high miss error rates at low prevalence are not due to a simple speed-accuracy trade-off,