Virtual Population Analysis (VPA) is a cohort modeling technique for reconstructing historical fish stocks using age-based or length-based methods, originally developed by Derzhavinin in 1922 and later modified by Fry and others. VPA utilizes past catch data and estimates of natural and fishing mortality to infer the population structure, being particularly useful for assessing long-lived finfish stocks. Its implementation allows fisheries to analyze the impact of fishing on specific cohorts and optimize fishing strategies, although it requires age-structured data and may not directly estimate natural mortality.