To help identify factors influencing age-related cognitive decline and disease, a web-based simple visual reaction time (RT and svRT respectively, index of processing speed) and paired-associate learning (PAL, indexing of verbal episodic memory) task were implemented. Test results were combined with 22 survey questions. An analysis of RT and svTR data from the MindCrowd (n=75,666) cohort revealed education and reported stroke as potential modifiers of age-associated processing speed and memory decline. As a complement, we evaluated complex, recognition, reaction time (cvrRT) in the UK Biobank cohort and compared the results to a subset of the MindCrowd cohort, creating UKBb MindCrowd (n=39,795), mirroring the UK Biobank's (n=158,247) age range (40-70y). Many estimates from an identical linear model, used for both cohorts, were similar despite noted cohort differences (e.g., USA vs. the UK). Results from the UK Biobank that differed from UKBb MindCrowd included a first-degree family history Alzheimer's disease (FHAD) associated with slower cvrRTs and that sex and education affected age-related cvrRT slowing. While results from UKBb MindCrowd suggested that education and smoking status were related to opposite effects on age-related svRT slowing. MindCrowd's collected RT and PAL findings have begun to pull back the curtain on the intricate network connecting processing speed, memory, and cognition to healthy and pathological brain aging.