The article discusses a new method to understand how statistical estimators behave as we collect more data. The researchers focused on Z-estimators and found a simple way to show how these estimators behave as we gather more information. This method can handle different rates of convergence for parameters and doesn't need complex inequalities like other methods. They applied this approach to various models like i.i.d. observations, Cox's regression model, and diffusion processes.