LSAT Logical Reasoning · Question of the Day

LSAT Logical Reasoning Question of the Day

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Tuesday, September 8, 2026

Last year, our city installed protected bike lanes on several major streets. In the six months following installation, reported cyclist injuries on those corridors fell by 20% compared to the same period the previous year. Citywide traffic volume and weather vary from year to year, and some have suggested that fewer people biking or a milder season could explain the decline. Nevertheless, these results indicate that the new protected lanes reduced cyclist injuries.

Which one of the following, if true, most strengthens the argument?

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Question of the Day

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Last year, our city installed protected bike lanes on several major streets. In the six months following installation, reported cyclist injuries on those corridors fell by 20% compared to the same period the previous year. Citywide traffic volume and weather vary from year to year, and some have suggested that fewer people biking or a milder season could explain the decline. Nevertheless, these results indicate that the new protected lanes reduced cyclist injuries.

Which one of the following, if true, most strengthens the argument?

  1. Bicycle counts on those corridors rose substantially after installation, yet injury totals still fell, indicating a lower injury rate per cyclist. (correct answer)
  2. A nearby city that did not add protected lanes also saw a drop in cyclist injuries during the same period.
  3. The city plans to extend the lanes to additional streets next year.
  4. During the same months, the police department changed its reporting criteria for minor cycling accidents.
  5. Many cyclists began wearing brighter clothing and new helmets when the lanes were publicized.

Explanation: If more cyclists used the corridors while injuries fell, the per-cyclist injury rate dropped, strongly supporting the lanes as the cause. The other options either offer alternative explanations, are irrelevant plans, or suggest changes that would undermine the causal inference.