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In this video tutorial, the focus is on age confounding and how to combat it using age adjustment. By comparing stratified rates and applying age-specific death rates to a standard population, we can obtain rates that are free from age confounding. Using a previous example of death rates in cities A and B, it was shown that the overall death rate was higher in city A due to its older age distribution, but the age-stratified mortality rates were higher in city B. By adjusting for age, we can accurately compare rates in different populations and avoid bias due to age differences.