 If using a p-value of 0.05 to suggest a discovery, it is likely that the result is incorrect at least 30% of the time due to underpowered experiments. Simulations demonstrate this similarity to the screening test problem and similar conclusions can be reached through repeated t-test simulations. Additionally, the simulation method can be used to evaluate how much effect size is overestimated when experiments are underpowered. A script is provided to allow readers to conduct their own simulations with relevant data. It is recommended that researchers aim for a false discovery rate, FDR, of less than 5%, or to require a p-value of less than 0.001 to ensure accuracy. This article was authored by David Cahoon.