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The key to this problem is to realize a common fallacy:
2) Biased-sample fallacy: A sample that is not representative of the population which is under consideration. This fallacy is committed when a person draws a conclusion about a population based on a sample that is biased or prejudiced in some manner. Large scale polls were taken in California, Washington and Maine and it was found that an average of 65% of those polled spent at least two weeks a year near the ocean. So, it can be safely concluded that around 65% of all Americans spend at least fortnight near the ocean each year.
In this case, the author assumes that the ONLY difference between the people living in W and those in B is that the former live in mountains. C says NO. People in W are much older, on average, than people in B to begin with. Therefore, C weakens the argument effectively. |
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