The article discusses how a certain type of mathematical model can be approximated using a simpler continuous-time process. By studying the behavior of this model as the time intervals become very small, researchers found that the results closely match those of the continuous-time process. This approximation allows for a better understanding of how the model behaves under different starting conditions. The researchers derived formulas to calculate the distribution, probability, and moments of the model, showing that the approximation works well when the model's parameter is close to one and with any initial condition.