一则在TechCrunch的文章推测,该网站是“89%为男性,47%是美国人,13%是变态”,后者的数字根据我的经验文章可能偏低一点点。
A post on Techcrunch surmised that the site was "89% male, 47% American, and 13% perverts," the latter figure seeming a tad low based on my experience.
根据我的推测和有效数据的局限,这些数字将产生无法估量的真实财政影响。
Due to the assumptions we made and the limitations of the available data, these figures are likely an underestimation of the true financial impact.
同样的原因,这些人为这个职位设立了一个很高的要求,然后我就满足了实际需求,并且根据我的推测,我是过于合适到有些浪费的程度。
So the same reason, they set a higher level for the position, then I meet their demands, and according to my anticipation, I was over-qualified.
I think it's in the eighth century that Hanson points out is relevant here.
根据汉森提出的相关理论,我推测它应该在八世纪左右
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