A historian claims that the decline of the Roman Empire was primarily due to its overreliance on slave labor, which stifled innovation and economic growth. However, recent archaeological discoveries show that Roman agricultural output remained robust throughout the period of decline. Therefore, the historian's claim about slave labor is incorrect.
- AIt ignores the possibility that the archaeological discoveries are misinterpreted.
- BIt does not define what constitutes 'robust' agricultural output.
- CIt assumes that agricultural output is the only indicator of economic growth.
- DIt fails to consider that the stifling of innovation could occur in sectors other than agriculture.
Show answer & explanationAnswer & explanation
Correct answer: D. It fails to consider that the stifling of innovation could occur in sectors other than agriculture.
The historian's claim is about innovation and economic growth *in general*, not just agricultural output. The counter-evidence only addresses one sector (agriculture) and assumes that if agriculture is robust, then innovation and economic growth must be robust across the entire economy, which is not necessarily true. Innovation could be stifled in manufacturing, technology, or other areas, still leading to overall economic decline.
Why the other options are wrong
- A. The argument as presented takes the archaeological discoveries as given fact. Challenging the data itself is outside the scope of identifying a flaw in the *reasoning* from that data.
- B. A lack of precise definition might be a minor weakness, but it doesn't represent a logical flaw in the rebuttal's attempt to disprove the historian's claim.
- C. While related, the core flaw is not just about *all* economic growth, but about the specific mechanism mentioned by the historian: stifled innovation. Robust agriculture doesn't negate stifled innovation elsewhere.
Scope Shift (Part-to-Whole)
A flaw in reasoning where evidence about a specific part or aspect is used to draw a conclusion about the entire whole, without justification for generalizing.
- Assumes that what is true for a part is true for the whole.
- Fails to consider if other parts might behave differently.
- Often occurs when generalizing from specific examples or sectors.
Memory trick: Don't assume the whole is just the sum of its parts; look for differences in scope and separate starts!