A new study of CCTV cameras in Newark suggests something surprising: crime reduction effects may take years to appear. In the short term, the cameras showed little impact—but after three to four years, auto theft dropped significantly. Researchers call these “sleeper effects,” and the policy takeaway is intuitive: short-term studies may miss what really matters.

But does that conclusion follow?

In this episode of LSAT Logic Applied, we break down the argument using two classic LSAT lenses: Parallel Reasoning and Parallel Flaw. First, we examine the study’s strongest move—testing outcomes across different time horizons to capture effects that unfold slowly. Then we look at where the reasoning may go too far, shifting from “longer studies can reveal effects” to “short-term studies are unreliable.”

Along the way, we explore key logical issues:

• When does better evidence justify broader conclusions?

• How do we distinguish methodological insight from overgeneralization?

• And what assumptions are required to treat time as the decisive factor?

This isn’t just about surveillance or crime policy. It’s about how we interpret evolving evidence—and how easily strong reasoning can slide into flawed conclusions.

If you want to sharpen your ability to analyze real-world arguments the way the LSAT does, this episode is a perfect case study.