The end of the cult of the diploma
Paul Graham gives an intelligent analysis of why diplomas matter less than they used to, why they will even matter less in the coming future, and why this is a good thing. I could not agree more.
Before credentials, government positions were obtained mainly by family influence, if not outright bribery. It was a great step forward to judge people by their performance on a test. But by no means a perfect solution. When you judge people that way, you tend to get cram schools—which they did in Ming China and nineteenth century England just as much as in present day South Korea.
What cram schools are, in effect, is leaks in a seal. The use of credentials was an attempt to seal off the direct transmission of power between generations, and cram schools represent that power finding holes in the seal. Cram schools turn wealth in one generation into credentials in the next.
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Let’s think about what credentials are for. What they are, functionally, is a way of predicting performance. If you could measure actual performance, you wouldn’t need them.
So why did they even evolve? Why haven’t we just been measuring actual performance? Think about where credentialism first appeared: in selecting candidates for large organizations. Individual performance is hard to measure in large organizations, and the harder performance is to measure, the more important it is to predict it. If an organization could immediately and cheaply measure the performance of recruits, they wouldn’t need to examine their credentials. They could take everyone and keep just the good ones.
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Credentials are a step beyond bribery and influence. But they’re not the final step. There’s an even better way to block the transmission of power between generations: to encourage the trend toward an economy made of more, smaller units. Then you can measure what credentials merely predict.
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The era of credentials began to end when the power of large organizations peaked in the late twentieth century. Now we seem to be entering a new era based on measurement. The reason the new model has advanced so rapidly is that it works so much better. It shows no sign of slowing.
The full essay can be found here.
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