It’s because the true value of top schools isn’t a 10x education; it’s a in 10x social network/signaling. Their goal is to fill the pipeline with the top candidates. So everyone who goes there has a connection to someone with power/money/knowledge that will 10x your network.
The people who create college rankings have to cook the books for their algorithms to work at all. Each college's score is the sum of n weighted parameters. But how can they choose the weights? The only possible way is to tweak them till the order is what they already expected.
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I think it’s the same problem as leader performance evaluation. You only know whether they’ve done a good job by looking at long future outcomes of students. But that’s a super lagging indicator. And it’s mostly just attracting the ambitious ones.
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the column i always cared about in us news was the rating by college faculty peers. many schools in the 8-20 category dropped right out when sorted this way, and then berkeley, ucla, michigan, rice, u chicago etc - actual academies - would be in their rightful position
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If you wanted to detect which colleges were gaming the rankings, this diff would be a good place to start.
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I would be curious to see totally separate data-based rankings. like the ratio of # of students to # of alumni who later get accepted into y combinator
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College rankings are backward looking and extremely biased. We should rank colleges based on the % of students in debt 1, 3, 5 years after graduation and default rates. We would get a much better overall picture. 3 year ROI is the most important factor.
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I agree with this, however some universities like Tsinghua and ETH Zurich have climbed up in rankings (into the top 10/20) even when judged by the metrics that ranked Ivy League/Stanford/MIT etc as top 10
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They tweak the weights to get new rankings each year, so that they can sell this year’s rankings
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