Question Type:
Flaw
Stimulus Breakdown:
Premise: The admin's numbers are based on flight reports from pilots on all flights, and the opponents' are based on a partial review of air traffic control tapes.
Conclusion: The admin's numbers are more reliable.
Answer Anticipation:
There's no real argument here - just a mention of what the numbers are based on, and a claim that one set is more reliable. We could delve into why the admin thinks her numbers are more reliable (it appears to be the comprehensive nature of them), but that doesn't actually matter! Since we're looking for a flaw, the correct answer much more likely deals with why the admin's numbers aren't more reliable.
When we're looking at numbers in a study, our first thought should always be about the sample. In this case, the size of the sample cuts in favor of the admin. However, the sample itself in the admin's study could be biased - if we're asking about pilot error, we probably don't want to ask the pilots. Let's be on the lookout for an answer that mentions that the pilot's might not be the best source to analyze for problems with their flying.
Correct answer:
(B)
Answer choice analysis:
(A) The author argues that there really isn't much of a risk, not that this change will alter behavior.
(B) Shazam! The admin is relying on numbers from a group that might not be a reliable source. This is the Sampling flaw we were looking for.
(C) Wrong flaw (Ad Hominem). If anything, the objectivity of the pilots is being called into question, not the opponents of the admin's proposal.
(D) Wrong flaw. This answer is where thinking about what the author assumed would be useful. The admin assumes her numbers are more accurate, not that the other numbers are completely inaccurate.
(E) Wrong flaw (Unproven vs. Untrue). First, there's some ambiguity around higher number (1/20,000 is higher, but 2 million is higher). Second, the admin presents her own numbers, so she's not relying on the inconclusive nature of the other side to prove her point. If we removed the 1/2mill study, this answer would be better.
Takeaway/Pattern:
Whenever a survey is done, always check the sample.
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