Normally the errors don't look this complicated but they still look fairly arcane.

一般来说，问题都不会很复杂,但是还是看起来有点神秘，不是吗？

哈佛公开课 - 计算机科学课程节选

Now you can begin to see the kinds of errors that this method might produce because people forget, they can't remember exactly how much they ate of things, or they may not be willing to disclose everything they ate.

现在你就可以明白各种误差,是由人们的遗忘而产生的,他们无法准确记得吃了多少东西,他们不会透露所有自己吃的东西

耶鲁公开课 - 关于食物的心理学、生物学和政治学课程节选

Now this was nineteen-eighty-two, quite a long time ago, at a time when people really weren't paying much attention to calories like they are now, so you'd expect the errors to decline as time goes on and there's some evidence of that, but they're errors nonetheless.

这是1982年的实验,很早之前了,当时的人们并不像今天的人们一样,那么关注卡路里,所以你会预计误差会随时间推移而减小,有证据证明了这一点,但误差仍然存在

耶鲁公开课 - 关于食物的心理学、生物学和政治学课程节选