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Ideological Turing Test : ウィキペディア英語版
Ideological Turing Test
The Ideological Turing Test is a concept invented by American anarcho-capitalist economist Bryan Caplan to test whether a political or ideological partisan correctly understands the arguments of his or her intellectual adversaries. The partisan is invited to answer questions or write an essay posing as his opposite number; if neutral judges cannot tell the difference between the partisan's answers and the answers of the opposite number, the candidate is judged to correctly understand the opposing side.
The Ideological Turing Test is so named as to evoke the Turing test, a test whereby a machine is required to fool a neutral judge into thinking that it is human.
== History ==

The idea was first mooted by Caplan in 2011 in response to Paul Krugman's claim that, in the context of US politics, liberals understand conservatives (and libertarians) better than conservatives (and libertarians) understand liberals. Borrowing the idea of the Turing test used to judge whether machines can pass themselves off as human, Caplan suggested the Ideological Turing Test as a way to impartially test Krugman's claim: whichever side understands the other better would perform better on an Ideological Turing Test. He also offered to take the test himself and offered to bet that libertarians could more easily pass themselves off as liberal than liberals could pass themselves off as libertarian.
Caplan's post was praised by Ilya Somin at the Volokh Conspiracy blog.
Noah Smith wrote a blog post critical of Ideological Turing Tests on the grounds that it rewarded shallow levels of understanding and also rewarded overlooking the contradictions and inconsistencies within an ideology. Adam Gurri responded to the critique in an article for ''The Umlaut''.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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