Let me put up a complete explanation:
CONC
Stretching before jogging doesn’t help prevent injuries
why?
PREM
Two groups of joggers were compared: one group stretched, the other didn’t. Similar number of injuries occurred.
Well, in the world of causality, we’re all about validating the experimental validity of this test. This basically means controlling for all other variables.
If you had two identical groups, gave one of them Pill A and the other group nothing, and they both experienced the same effects, you would conclude that Pill A did nothing.
So if these two groups of joggers are identical, then the variable of “stretching” would prove to have had no effect, since both groups experienced the same effects.
But are these two groups identical?
This is the domain of sampling flaws / analogies / alternative explanations and interpretations?
Did they jog along the same route / similar surface conditions? If one group jogged on well maintained race track and the other group jogged on wobbly cobblestone, then I wouldn’t feel good about comparing their injury rates. We introduced ANOTHER important variable: running surface.
We could come up with endless stories that would differentiate the two groups and make them seem unfair to compare.
The correct answer, (D), suggests that people who stretch first are already more prone to jogging injuries. Thus, they aren’t an “identical match” for people who don’t stretch.
Naturally, this answer doesn’t PROVE anything. It’s possible that all the joggers in the study were equally prone to injuries.
But this answer choice raises quite a bit of doubt about whether it’s fair to compare a group of habitual stretchers to a group of habitual non-stretchers.
An earlier poster was concerned about (D) talking about “they just BELIEVE stretching” helps them. This answer choice doesn’t mention anything about belief. Saying that habitual stretchers are “more prone” to injuries means that people who habitually stretch incur, on average, more injuries than those who don’t.
Another poster was worried that we were interpreting the correlation in (D) as causality. We’re might interpret it plausibly as “being prone to injuries makes people more likely to stretch beforehand”. But even if we didn’t interpret it causally (just coincidentally), it still serves the aforementioned function of disrupting the scientific method. In order for us to compare two groups of joggers who experienced the same effects and then conclude that the variable (stretching) did nothing, we have to assume that these two groups of joggers were fair to compare in terms of likelihood of jogging injury.
So even without any notions of causality, (D) gives us that the two groups were probably not fair to compare, before the experiment, in terms of likelihood of injury.
== other answers ==
(A) This doesn’t weaken, since it does nothing to keep the two groups from being fair to compare to each other.
(B) This answer might tempt some people who would say “if you had difficulty performing stretching, then did you really stretch?” But the language here isn’t tight enough to give us the impression that “experiencing difficulty stretching = didn’t stretch”. That would be too much of a …[wait for it] … stretch.
(C) This, in a fuzzy way, seems to strengthen the argument because it says that stretching would have little if any effect on most jogging injuries.
(E) This is not helpful, since we don’t know if “certain forms of exercise” includes jogging, and this answer deals with “lessening the severity of injuries”, while the conclusion deals with “preventing injuries”.