A municipal transit authority recently applied a new light-reflecting polymer coating to crosswalks across three high-density commercial districts. Over the subsequent twelve months, nighttime pedestrian accidents in these districts decreased by 25 percent compared to the previous year. The authority concluded that the enhanced visual contrast provided by the polymer coating was the primary factor in reducing nighttime pedestrian accidents. Which of the following would it be most useful to determine in evaluating the transit authority's conclusion?
- Whether municipal authorities also increased traffic enforcement patrols and lowered speed limits in those three districts during the same twelve-month periodCevap
- BWhether the decrease in pedestrian accidents directly led municipal officials to lower the maintenance budget for standard asphalt pavements
- CWhether reflective polymer coatings create daytime surface glare that slightly increases driver discomfort during peak sunlight hours
- DWhether adjacent suburban residential areas experienced an increase in personal vehicle registrations over the same twelve-month span
- EWhether local civic groups had initially voiced objections regarding the high upfront procurement costs of the polymer coating
Cevap
Determining whether municipal authorities also increased traffic enforcement patrols and lowered speed limits in those three districts during the same twelve-month period is the most critical factor for evaluating the argument.
The correct answer provides information about potential confounding variables. In causal reasoning, establishing that event A caused event B requires verifying that no third factor (event C) occurred at the same time that could account for event B. If speed limits were lowered and police patrols were increased during the exact same period, those interventions offer a plausible alternative explanation for the drop in pedestrian accidents, directly challenging the conclusion that the polymer coating was the primary driver.
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Anahtar Kavram
Evaluating Causal Arguments: Identifying Confounding Variables and Alternative Explanations