极具复杂性，使判定因果关系也变得愈发困难。在实际大数据分析中，相关性作

It is extremely complicated, which makes the determination of causality more difficult. In actual big data analysis, correlation has basically replaced causality as the basic rule for predicting and explaining events. After the damage results, people can find only relevant factors instead of decisive factors.

The complexity makes it more difficult to determine causation. In the actual big data analysis, relevance as the basic law for predicting and interpreting events has basically replaced causality, and after the result of damage, people can find only the relevant factors rather than the decisive factors.

Because of its complexity, it is more and more difficult to determine causality. In the analysis of real big data, relevance, as the basic rule of predicting and interpreting events, has basically replaced causality. After the occurrence of damage results, what people can find is only relevant factors rather than decisive factors<br>