Measurement of inter observer variability is often done using statistical tools such as Cohen's kappa coefficient, which assesses the degree of agreement between observers beyond what would be expected by chance. Other methods include intraclass correlation coefficients (ICC) and Bland-Altman plots. These tools help in quantifying the level of agreement and identifying areas where variability is most pronounced.