Using a set of searches restricted to only the known ADEs for a given drug, we coded each ADE as either common or other as listed by MicroMedex. Based on this categorization, we conducted a Wilcoxon two-sample signed rank test. Finally, we constructed a negative binomial model to explain the number of ADEs found by Google Insights. The total number of detected ADEs was modeled using the number of common ADEs in MicroMedex, the number of other ADEs in Micro-Medex and the number of prescriptions for the drug based on 2008 data from MEPS as covariates.