Credentials are signaling mechanisms that help people who can’t spot talent a priori At best these create communities where there are lower transaction costs between members, which enables creation So we can’t get rid of credentials. We need to find ones that are more fair.
Yes, except I think you mean more accurate, rather than more fair.
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By the way, what's with the name? Does it mean you take no arguments?
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Maybe it means he’s functional
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I think credentialing identifies systematic talent and competence, and abstracting that out from the decision making process has utility. Ultimate success, however, is driven by idiosyncratic factors.
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Really depends on the setting: established hierarchies value the general intelligence, self-discipline, and willingness to conform credentialed by the current higher ed oligopoly. Success in breakthrough innovation requires non-conformance grounded in customer empathy.
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Yes I think accurate is a better word Fair is a morality argument maybe. They are related but not the same thing.
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The term does not matter, as does the whole etymology. What is important is the goal as the being the very "your phrase". This is not about philosophy, but about superposition of the target essence.
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in response to “that’s very impressive” regarding some credential or title, One of my replies = “ if you are impressed by that, then you deserve to be”
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From the purpose of the application “
@garrytan tweet” in total (i.e., what happens with the being of the tweet further), depends on which of the phrases (accurate data or fair data) in this tweet will be accurate or fair. This is the principle of superposition in quantum theory.Thanks. Twitter will use this to make your timeline better. UndoUndo
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From the narrow perspective of a single hiring decision, accurate is better. From a citizen’s perspective, we also want fairness in the process leading up to the test, so that all young people have equal opportunity to develop the capability to do well.
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Not absolute equality, but equality of opportunity
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