We know that a host of issues can cause a student’s performance to decline – scorching summer heat in classrooms without air conditioning, problems at home, or poor-quality teachers, to name a few. But when one gathers results on a large scale, variables flatten out, and the important differences emerge.
我们知道，一系列问题可能造成学生表现下降——夏季无空调教室的高温、家庭问题、教师质量欠佳，等等。但当你大规模收集结果时，变量就会扁平化，重要的区别会浮现出来。这就是大数据的重大意义。