Question Type:
Strengthen
Stimulus Breakdown:
Conclusion: Our change to offer unlimited free shipping probably caused mail-order sales to go up.
Evidence: Mail-order sales went up 25% around the same time that we started offering unlimited free shipping.
Answer Anticipation:
There are a lot of LSAT arguments like this: "Highway fatalities went down right around the same time we lowered the speed limit. Thus the policy change must be responsible."
Whenever LSAT authors conclude some causal interpretation of things, we have a two-pronged thought process:
1. What are OTHER posible ways to explain the background data [the premise]
2. How Plausible is the AUTHOR'S WAY of explaining? [the conclusion]
So I would approach these answers thinking that the correct answer will either
1. Rule out a DIFFERENT WAY of explaining the [25% increase in mail-order sales]
or
2. Increase the plausibility that [offering unlimited free shipping] made a difference.
Correct Answer:
A
Answer Choice Analysis:
(A) Yes! It increases the plausibility that "unlimited free shipping" is causing sales to go up if companies that DON'T have it are seeing their sales go DOWN
(B) Weakens. It decreases the plausibility that unlimited free shipping caused the sales increase if customers might not have even been aware of the change.
(C) Out of scope: We don't care about 'profits'. We're only concerned with what caused the 25% increase in mail-order sales.
(D) Weakens (slightly). It's less likely that "unlimited free shipping" is a causal difference-maker if the company's competitors already offer it.
(E) Strengthen (slightly). This is the inverse of (D). It lets us know that by offering unlimited free shipping, this company is in the minority. i.e. It makes it more plausible that offering unlimited free shipping could be a causal difference-maker if most companies don't offer it. But this isn't NEARLY as powerful an idea as (A), which seems to show that sales is covarying with unlimted free shipping.
Takeaway/Pattern: The most common way to Increase Plausibility of the author's causal story is some form of this "Control Group / Covariation" answer: you show more evidence of cause and effect appearing or disappearing in tandem. "No cause, no effect" or "less cause, less effect" or their opposites are all powerful ways to increase the plausibility that two things are causally connected.
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