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I just came back finishing another video fresh off the press I guess you dont press a video but it doesnt matter and its about H confounding and how you can combat it with H adjustment enjoy in the previous lesson we learned that comparing stratified rates can help you with confounding another method thats often applied when comparing rates in different populations is called adjustment lets go back to a previous example of death rates in cities a and B remember the overall death rate was higher in CDA due to its older age distribution whereas the age stratified mortality rates were actually higher in city B so the risk of death is really higher in city B now in order to arrive at rates that are free from age confounding we could apply the age specific death rates to a standard population we could either create a fictitious one or just use one of the two cities lets choose city a as our standard population this is the age distribution these are the numbers of deaths and this was