统计是搜集数据和认识事物规律的重要手段，而统计错误的产生，必然会干扰我

Statistics is an important means of collecting data and understanding the laws of things, and the occurrence of statistical errors will inevitably interfere with our cognitive work. How to reduce the probability of errors and reasonably avoid these common statistical errors is a necessary prerequisite for improving statistical work. According to the statistical knowledge we have learned, it is often believed that statistical errors are often caused by P-values ​​and statistical significance tests. But the author of this paper did not think so, and put forward new ideas. The author believes that the statistical errors that most threaten the validity of research have little to do with P-values ​​and statistical significance. The authors attribute the sources of statistical errors to improperly designed research designs, unclear research questions, poor data processing, lack of statistical thinking and digital literacy. The author believes that the impact of these problems on statistical errors is much greater than the P value.

Statistics is an important means to collect data and understand the laws of things, and the emergence of statistical errors will inevitably interfere with our cognitive work. How to reduce the probability of errors and reasonably avoid these common statistical errors is a necessary prerequisite to improve statistical work. According to the statistical knowledge we have learned, it is often believed that statistical errors are often caused by P-values and statistical significance tests. But the authors of this paper don't think so and offer new ideas. The authors think that the statistical errors that threaten the effectiveness of the most threatening research have little relationship with P-values and statistical significance. The author attributes the source of statistical errors to inappropriate design, unclear research problems, poor data processing, lack of statistical thinking and digital literacy. The authors think that the impact of these problems on statistical errors is much greater than p-values.

Statistics is an important means to collect data and understand the laws of things, and the production of statistical errors will inevitably interfere with our understanding. How to reduce the probability of errors and avoid these common statistical errors is the necessary prerequisite to improve the statistical work. According to the statistical knowledge we have learned, we often think that statistical errors are often caused by P value and statistical significance test. But the author of this paper does not think so, and puts forward a new point of view. The author thinks that the statistical errors that most threaten the effectiveness of research have little relationship with P value and statistical significance. The author attributed the sources of statistical errors to improper research design, unclear research problems, poor data processing, lack of statistical thinking and digital literacy. The author thinks that the influence of these problems on statistical errors is far greater than p value.