A recent sociological study found a strong positive correlation between an individual's level of social media usage and their reported feelings of loneliness and social isolation. The study concluded that excessive engagement with social media platforms is a direct cause of increased loneliness among users. However, critics point out that correlation does not imply causation, and suggest that individuals who are already experiencing loneliness might be more prone to using social media extensively.
Correct: C
The argument concludes that excessive social media usage *is a direct cause* of increased loneliness, based on a strong positive correlation. The critics correctly point out that correlation does not imply causation and suggest an alternative causal direction (loneliness causes increased social media use). The question asks for the flaw in the original argument.
Option (C) precisely identifies the flaw: the argument assumes that the direction of causality is solely from social media usage to loneliness, disregarding the possibility that loneliness could drive increased social media use, or that both are effects of a third, unconsidered factor. This is a common fallacy of confusing correlation with causation and ignoring alternative causal pathways, often called 'reverse causation' or 'post hoc ergo propter hoc' when the causal link is assumed simply from order or correlation.
(A) While a control group is valuable for causation, its absence isn't the *flaw in the reasoning* of interpreting correlation as causation. The flaw is in the *inference* from the data, not necessarily the experimental design itself.
(B) This points to a 'common cause' or 'third variable' flaw, which is a valid way to challenge causation. However, (C) is more fundamental to the argument's specific leap: assuming the direction of causality without sufficient evidence. The critics *suggest* a reverse causation, and the original argument's flaw is precisely in *assuming* a specific direction.
(D) This is a limitation on generalizability, not a flaw in the logical inference from correlation to causation within the studied population.
(E) The subjectivity of 'loneliness' might affect the *reliability* of the data, but it doesn't directly address the *causal leap* from social media use to loneliness based on correlation. Even if loneliness were objectively measured, the causal direction would still be problematic.