changsoyeon Wrote:I didn't even understand what was going on in this argument.
What exactly is the "flaw" that is being committed here??? I felt like it had to do something with the whole necessary/sufficient stuff, so I narrowed it down to (A) and (B) and just picked (A) and moved on since I was doing the full section timed. I was trying to diagram this stuff out, but it wasn't leading me anywhere close "reversed logic" or "negated logic" so wasn't sure what the flaw even was. Can someone please provide any help?
The reason why you had such a difficult time diagramming this question is that it is not one that notation is going to be very effective. The reason is that the argument is not only about conditional relationships. It's also about causation. And when an argument moves from correlation to causation, it's going to be tougher to put that into notation.
We can see that causation is implied in the conclusion when it says "lead to" - words that commonly imply causation.
The argument offers evidence that severs the correlation between slipped disks and back pain. The argument then goes on to conclude that there is no causal connection between a slipped disk and back pain. The issue there is that just because something doesn't always produce a certain result, does not mean that it might not sometimes produce that result. By itself a slipped disk does not appear to cause back pain, but a slipped disk could lead to problems down the road that would cause back pain. Answer choice (B) addresses this issue by pointing out that while alone a slipped disk is not sufficient to cause back pain, it may be a contributing factor. So a slipped disk could lead to back pain when it is accompanied by some other factor.
Let's look at the incorrect answers:
(A) mixes up the evidence. The argument does not suggest in the evidence that back pain can occur in people that do not have a slipped disk, but rather that slipped disks may be present in people who do not have back pain. Back pain being the effect and a slipped disk being the contributing factor.
(C) is not something the argument failed to consider, but is exactly what the argument concluded to be true.
(D) plays off a sampling issue. But there is no reason to suspect that the sample is unrepresentative.
(E) is close but not quite. The conclusion doesn't discuss the likelihood of the factor (a slipped disk) being present, but whether that factor actually contributes to the effect of back pain.
Hope that helps, but let me know if you have further questions on this one!