This document provides a 10 minute lecture on forest plots, which are visual representations of statistical analyses that allow results from multiple studies to be compared. The lecture discusses how forest plots can be used in different contexts such as analyzing the effectiveness of pre-exposure prophylaxis for HIV prevention, comparing survival rates of cancer patients using different treatments, and assessing the sensitivity and specificity of commercial PCR tests for tuberculosis meningitis. Examples of cumulative meta-analysis plots are presented from studies on these topics.