1. Lack of diversified training methods: Most of the training methods of statistical cadres are based on traditional face-to-face courses, lacking diversified training methods, such as online education and online learning, which cannot meet the learning needs and learning methods of different cadres.

2. Obsolete educational concept: Traditional training methods for statistical cadres are based on traditional educational concepts, focusing on "indoctrination" education, attaching importance to knowledge transfer and ignoring students' independent learning and thinking. This educational model may not meet the learning needs of contemporary society and cadres, resulting in inflexible training methods.

3. Outdated training content: The training content of statistical cadres is mainly based on traditional statistical theory, ignoring the study of new technologies, new methods and new thinking, which makes it difficult for cadres to cope with complex tasks and challenges in practical work.