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The tutorial discusses H confounding and how to combat it with H adjustment. It explains that comparing stratified rates can help with confounding and introduces adjustment as another method for comparing rates in different populations. Using the example of death rates in cities A and B, it demonstrates how adjusting for age can help eliminate confounding effects. By applying age-specific death rates to a standard population (in this case, city A), a more accurate comparison can be made between the two cities.