A recent study revealed that the percentage of people treated at large, urban hospitals who recover from their illnesses is lower than the percentage for people treated at smaller, rural hospitals.
Why are patients at large, urban hospitals less likely to recover than patients at small, rural hospitals?
The correct answer must offer an unsatisfactory hypothesis, one that fails to explain the different recovery rates. Every wrong answer, meanwhile, will give a reason that patients at small, rural hospitals recover at higher rates than those at large, urban hospitals.
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This would explain the different recovery rates. Because patients at small hospitals are more likely to get personal dietary attention, they are more likely to recover.
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This would explain the different recovery rates. Because patients at large hospitals are subject to stress from the impersonal atmosphere, they are less likely to recover.
Although large hospitals ████ ██ ████ ███████ ███████ ██ ███ ████ ███████████ ████████ ██ ███████████ ███ ████ █████ ███████ ███ ████████ ██ █ ████████ ██████ ███ █████████ ████████ █████
This rules out an explanation for the opposite discrepancy, but does not explain the discrepancy at hand. It implies that doctors at both types of hospitals are equally likely to help their patients recover, leaving the difference in recovery rates unexplained.
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This would explain the different recovery rates. Because patients at large hospitals tend to be observed for less time, they are less likely to recover.
Doctors at large █████████ ████ ██ ████ █ ███████ ██████ ██ ████████ ███ ████████████ ████ ████ ██ ███████ ██ █████ ███ ██ ████████ ███ ███████████ ███ ██ ██ █████████████
This would explain the different recovery rates. Because patients and staff at large hospitals are more likely to misunderstand how to administer medication, they are less likely to benefit from that medication and thus the patients are less likely to recover.