With the invention and improvement of econometrics, academic research is becoming more and more rigorous, and data and methods explain everything, especially data is the most important. However, this academic development trend has hidden dangers. The depth of the study has been daunting, and one of the tasks of this discipline is to look for correlations between economic variables through large sample studies, and then draw certain policy conclusions from them. This large sample study is abstract. Some important information is likely to be discarded during this process. If you are indulged in the huge charm of the form of the measurement method and can't see the implied flaws, you will be easily deceived by the false sense of security brought by the data. The most accurate summary of the gist of this text is:. ['Emphasis on the absolute status of econometric methods in academic research.', 'Criticizing the academic research trend of blindly superstitious econometric methods.', 'Explain the importance of improving sample selection for econometrics.', 'Explain how to draw policy conclusions through an analysis of economic variables.']