Reduction aims to decrease the number of animals used in experiments without compromising the quality of the data. This can be achieved through statistical techniques, better experimental design, and more efficient use of existing data. For example, using a smaller sample size with higher statistical power can yield reliable results while utilizing fewer animals.
