Weak instruments in linear IV regression can lead to biased estimations and distorted hypothesis tests. This paper introduces quantitative definitions of weak instruments based on maximum bias in estimators or test size distortion. By using critical values, researchers can test if their instruments are weak using the first-stage F-statistic or the Cragg–Donald statistic for multiple endogenous regressors.