Match each flawed argument with the specific description of its causal reasoning error.
- A hospital administrator notes that wards using the new advanced monitoring software have the highest patient mortality rates, concluding that the software introduces fatal medical errors.Fails to consider that a specific intervention might be selectively deployed precisely where the negative outcome it is intended to address is already most severe.
- A city planner argues that living near a community garden decreases stress, since residents within two blocks of such gardens report 30 percent fewer stress-related symptoms than others.Overlooks the possibility that areas featuring certain amenities also tend to possess socioeconomic characteristics that independently produce the observed benefit.
- A music teacher claims that playing the violin increases a child's spatial reasoning skills, citing a study showing that children in the advanced orchestra score exceptionally well on spatial tests.Fails to address whether the individuals exhibiting the studied behavior were already predisposed to possess the highlighted trait before engaging in the behavior.
- A financial analyst discovers that over the past forty years, years in which fashion designers favored shorter skirt hemlines were reliably followed by booming stock markets, concluding that fashion trends drive investor confidence.Infers a causal relationship between two phenomena that fluctuate together solely by historical coincidence without any plausible underlying mechanism.
Cevap
The correct pairings align the hospital software with reverse causality (intervention deployed where severity is high), the community garden with a third-variable flaw (socioeconomic characteristics), the violin study with self-selection bias (predisposition to a trait), and the hemline/stock market trend with spurious correlation (historical coincidence).
Each argument presented commits a specific variation of a causal fallacy. The correct pairings accurately map the unique context of each argument to the precise logical vulnerability it suffers from: reverse causality (hospital), common cause/third variable (gardens), selection bias (violin), and spurious coincidence (hemlines).
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Anahtar Kavram
Variations of Correlation vs. Causation Flaws (Reverse Causality, Third Variable, Selection Bias, Spurious Correlation)