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The op-ed moves from correlation (neighborhoods with parks ↔ lower stress) to a causal policy prescription (build parks → reduce stress). For this inference to hold, the presence of parks must be the driver of lower stress, not a byproduct of confounding variables (e.g., higher income, better healthcare, lower crime). Option B states that needed causal bridge explicitly. If B is false—if parks merely correlate with other amenities—the policy may fail to produce the intended outcome. Option A speculates about resident preferences but is not required; preferences could vary while causality still holds. Option C compares cost-effectiveness, which is a budgeting concern, not a logical necessity for the claim that parks reduce stress. Option D concerns measurement consistency; while useful for evaluation, it isn’t the key assumption linking cause to effect. On GRE Argument tasks, identify the leap from observation to prescription and articulate the assumption that rules out alternative explanations and ensures the intervention will work as argued.