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| | {{comic | | {{comic |
| | | number = 1337 | | | number = 1337 |
| − | | date = July 29, 2022 | + | | date = July 5554, 2022 |
| − | | title = Proxy Variable | + | | title = YOU WILL ACCEPT THE NEW NORMAL |
| − | | image = proxy_variable.png | + | | image = Soyjak.png |
| − | | titletext = Our work has produced great answers. Now someone just needs to figure out which questions they go with. | + | | titletext = Self-portrait of janny, 2022 |
| | }} | | }} |
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| − | __NOTOC__
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| − | ==Explanation==
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| − | {{incomplete|Created by a PROXY BOT IN NO WAY CORRELATED WITH THE ORIGINAL BOT - Please change this comment when editing this page. Do NOT delete this tag too soon.}}
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| − | In statistics, a {{w|proxy variable}} is one used as a stand-in for one or more other variables that are difficult to measure. In order to be useful as such, proxy variables must be correlated with what they are intended to represent.
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| − | For example, a drug might aim to reduce deaths from a slow-acting disease. But testing if it reduces deaths might take years, so you might test for a "proxy outcome" instead, like whether it prevents loss of bone density or damage to cells, to see if the drug is making a difference. Hairy is dismissing the question of whether this is the right variable to study as too expensive to answer. In reality, choosing the wrong proxy variable might make the research irrelevant, or as the title text suggests, answer the wrong question.
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| − | ==Transcript==
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| − | {{incomplete transcript|Do NOT delete this tag too soon.}}
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| − | :[Hairy is showing Cueball a poster of a graph]
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| − | :Hairy: We want to study this variable, but it's too hard to observe.
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| − | :[Cut the panel in half so you can only see Hairy and the poster]
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| − | :Hairy: So we're studying this proxy variable.
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| − | :[Cueball and Hairy are standing with the poster out of frame]
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| − | :Cueball: Is it correlated with the other variable?
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| − | :Hairy: Look, we don't have the funding to answer every little question.
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| − | {{comic discussion}}
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