A recent study found that children who spend more time watching educational television programs score higher on standardized tests than those who watch less. This proves that educational television directly improves academic performance.
- AIt fails to consider that children who are already academically inclined might be more likely to watch educational television.
- BIt assumes that standardized test scores are the only measure of academic performance.
- CIt ignores the possibility that parents who encourage educational TV also provide other academic support.
- DIt does not specify what types of educational programs were included in the study.
Show answer & explanationAnswer & explanation
Correct answer: A. It fails to consider that children who are already academically inclined might be more likely to watch educational television.
The argument concludes that educational TV *directly improves* academic performance based on a correlation. However, it fails to consider the possibility of reverse causation: perhaps children who are already better students (academically inclined) are simply more likely to choose to watch educational programs. The correlation could also be explained by a common cause (e.g., parental involvement, as in option D).
Why the other options are wrong
- B. The argument is about academic performance as measured by standardized tests. The flaw is not in the chosen metric, but in the causal inference drawn from it.
- C. This is another valid alternative cause, but the prompt asks for *the* flaw. Option A represents a distinct and equally strong challenge to the causal direction.
- D. While specificity could improve the study, the lack of it doesn't represent a logical flaw in the leap from correlation to causation.
Reverse Causation
A flaw in reasoning where the arguer incorrectly assumes a causal direction between two correlated events, when the true causal relationship might be the opposite.
- Occurs when X is correlated with Y, and it's concluded X causes Y, but Y might actually cause X.
- A common type of correlation-causation fallacy.
- Requires considering alternative causal models.
Memory trick: Don't assume the arrow points the way you see it; it might be reversed!