Why do scientists try to use many individuals in the it experiments?

Scientists use many individuals in experiments to ensure that their results are statistically reliable and to account for biological variability among subjects. A larger sample size allows researchers to detect patterns and effects more accurately, reducing the likelihood of random chance influencing the results. Additionally, using multiple individuals helps in generalizing findings to a broader population, enhancing the validity and applicability of the conclusions drawn from the study.