LSAT (Law School Admission Test)Logical ReasoningMedium
Marketing Director: Our new advertising campaign, which focuses on emotional appeal rather than product features, has significantly increased sales. This demonstrates that consumers are primarily influenced by their feelings when making purchasing decisions. Which of the following, if true, would most seriously weaken the marketing director's conclusion?
- ASales of the product had been steadily increasing for several months prior to the new campaign's launch.
- BConsumers often report that product features are important to their purchasing decisions.
- CThe emotional appeal of the new campaign resonated more with a younger demographic than with older consumers.
- DThe company's main competitor launched a similar emotional advertising campaign at the same time.
Show answer & explanationAnswer & explanation
Correct answer: A. Sales of the product had been steadily increasing for several months prior to the new campaign's launch.
The marketing director attributes the increase in sales to the new emotional advertising campaign. Option B suggests that sales were already on an upward trend *before* the campaign. This 'pre-existing trend' weakens the argument by providing an alternative explanation for the sales increase, making it less likely that the campaign was the *cause* of the increase.
Why the other options are wrong
- B. This describes consumer preferences in general, but doesn't directly address whether *this specific campaign* was effective or why sales increased.
- C. This provides detail about *who* was influenced but doesn't weaken the claim that the campaign *did* increase sales overall, nor does it challenge the underlying causal mechanism.
- D. This introduces a confounding variable (competitor's campaign) which could also explain the increase, weakening the claim about *this* campaign's effectiveness. However, a pre-existing trend (B) is often a stronger challenge to causality.
Pre-existing Trend (Causal Flaw)
A flaw in causal reasoning where an observed change is attributed to a new intervention, but the change was already occurring as part of an existing trend before the intervention began.
- Challenges the uniqueness of the cause
- Suggests the effect would have happened anyway
- Often involves overlooking baseline data
Memory trick: Don't claim credit for what was already happening!