纠错机制缺失,惩罚制度不完善,增加了失真的可能。统计数据的真实性问题一直是社会关注的焦点,而且近几年来它引发的民意反弹越来越强烈。统计数据失真,有其客观的技术原因。比如统计大都采用抽样调查的方法,通过局部来估计和推断整体的情况,达到“窥一斑而知全豹”的效果。这其中存在误差当属在所难免。而即便是普查,也不能保证每个数据来源都完全符合事实。然而,还会有其他一些情况导致数据 Error correction mechanism is missing, the punishment system is imperfect, increasing the possibility of distortion. The issue of the authenticity of statistics has been the focus of attention in the community, and the popular bounce it triggered in recent years is getting stronger. Statistics distortion, there are objective technical reasons. For example, most of the statistical methods used to sample surveys, through the local to estimate and infer the overall situation, to “see a glimpse of the whole leopard” effect. This error is inevitable. And even a census does not guarantee that every data source is completely factual. However, there are other circumstances that lead to data