The article introduces a new model to better understand how people make choices that vary in randomness over time. The researchers developed a model that considers differences between individuals in how they respond to fatigue or difficulty in ranking options. By using this new model, biases in data analysis can be reduced, and more accurate results can be obtained. The researchers tested their model using simulations and real-world data, showing that both inter- and intra-individual differences in choice behavior exist.