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Zorluk: Çok zorStrengthening Arguments

In City X, municipal health officials observed that residents living in neighborhoods with a high density of full-service grocery stores report significantly lower rates of cardiovascular disease than residents in neighborhoods served primarily by fast-food outlets and convenience stores. To reduce the citywide incidence of cardiovascular disease, the city council proposes offering tax incentives to attract full-service grocery stores to underserved neighborhoods. The council reasons that increasing physical access to fresh produce will prompt residents to adopt healthier diets, thereby directly lowering their risk of cardiovascular illness.

Which of the following, if true, provides the strongest support for the city council's reasoning?

  1. Individuals who maintain healthy diets are no more likely to choose to live in neighborhoods with full-service grocery stores than are individuals with poor dietary habits.Cevap
  2. B
    The average price of fresh produce at full-service grocery stores in City X has risen significantly faster over the past decade than the price of processed foods at convenience stores.
  3. C
    City X currently devotes a smaller percentage of its overall municipal budget to public health initiatives than do neighboring cities of comparable population size.
  4. D
    Cardiovascular disease accounts for a larger share of total healthcare expenditures in City X than any other preventable chronic medical condition.
  5. E
    Most full-service grocery stores operating in neighboring regions derive a majority of their total sales revenue from pre-packaged convenience foods rather than fresh produce.

Cevap

The correct response is the statement establishing that individuals with healthy diets are no more likely to move to neighborhoods with full-service grocery stores than those with poor diets.
The city council's argument relies on a causal claim: increasing physical access to fresh produce will cause residents to adopt healthier diets and lower their risk of cardiovascular disease. The evidence provided is a mere correlation between grocery store density and lower disease rates. A key vulnerability of correlation-to-causation reasoning is the possibility of self-selection bias—specifically, that health-conscious people actively choose to live in areas near full-service grocery stores. By confirming that individuals with healthy diets are no more likely to relocate to these neighborhoods than individuals with poor diets, the correct answer rules out self-selection bias, thereby substantially strengthening the likelihood that the stores themselves positively influence resident health.

Adım Adım Çözüm

1
Deconstruct the argument structure into premises, proposed action, and core conclusion.
Premise: Grocery store density correlates with lower cardiovascular disease. Action: Provide tax incentives for grocery stores in underserved areas. Conclusion: Increased physical access will cause healthier diets and directly reduce cardiovascular disease risk.
Identifying the logic gap between correlation (store location and health) and causation (store access causing health improvement) is crucial for strengthening the argument.
2
Identify potential vulnerabilities and unstated assumptions in the causal leap.
The main vulnerability is reverse causality or self-selection bias: perhaps health-conscious people self-select into neighborhoods with grocery stores, rather than the stores causing residents to become healthy.
To strengthen a causal argument based on observational correlation, one must rule out alternative explanations or confounding variables.
3
Evaluate the options to find the one that addresses the self-selection vulnerability.
The option stating that healthy eaters do not preferentially move to grocery-rich neighborhoods eliminates self-selection bias, ensuring the correlation is driven by the environment rather than residential preference.
Ruling out a major confounding variable directly strengthens the author's causal claim.

Anahtar Kavram

Strengthening Causal Arguments by Eliminating Confounding Variables / Reverse Causality
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