Many publications concerned with the analysis of pesticides in various matrices using different advanced methodologies are characterized by listing results with a multitude of molecular species. The number of available pesticides in agricultural products is very extensive, which poses challenges to deliver full method validations for every single method and every single compound. A recent forensic investigation indicates that it is important to pay attention to the performance characteristics of every single species when analyzed with LC-MS/MS. Such investigations remain to be performed for GC-MS/MS and other technologies that are commonly used for these purposes. Hence, this poses a risk to the interpretation of the accrued data of individual species, which are subject to the influence of matrix effects that, alternatively, may also be identified as high levels of uncertainty of measurement that could have been overlooked in during the method validation. Contemporary methods of quality assurance involve the construction of uncertainty budgets but that tends to be an almost insurmountable task for the simultaneous analysis of numerous species with methods of chromatography. Owing to the importance of pesticide analysis in relation to consumer products, numerous publications are available with supplementary data that allow for further considerations regarding the method validation and corresponding uncertainty of measurement. In many instances, were reported very low levels of pesticides in consumer products, which instigated spiking of the products with measurand concentrations that were close to the limit of quantification (LOQ). Such low spiking levels ought to exhibit large uncertainties of measurements.