The article discusses how choosing the right model is important for accurate statistical analysis. When dealing with huge amounts of data, it can be hard to pick the best model. The researchers used a method called A-optimality to select smaller sets of data for model selection. They tested this method using simulations and real data, finding that it helps pick the best model more often and makes estimates more efficient.