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Question

Difficulty: HardIdentifying Main Conclusions

Consider the following argument:

Despite the widespread adoption of automated algorithmic underwriting in commercial real estate lending, credit default rates on non-recourse mortgages have steadily escalated over the last three years. Industry analysts frequently attribute this trend to flawed machine-learning training sets that omitted recent macroeconomic volatility. However, this explanation fails to account for the fact that traditional human-underwritten loans evaluated over the exact same period experienced no corresponding increase in defaults. Because algorithmic systems rely heavily on standardized borrower liquidity metrics while ignoring qualitative management experience—a factor human loan officers weigh heavily—financial institutions should reintroduce mandatory human oversight for all high-value commercial mortgages.

Statement: The primary main conclusion of the argument is that financial institutions ought to mandate human oversight for high-value commercial mortgages.

Answer: Answer

Answer

True. The author's primary objective and ultimate main conclusion is that financial institutions should reintroduce mandatory human oversight for high-value commercial mortgages.
The statement is correct because the author's primary goal is to advocate for a specific policy change: reintroducing mandatory human oversight for high-value commercial mortgages. The author presents evidence regarding default rates, refutes alternative explanations, and explains the flaw in algorithmic systems specifically to support this final recommendation.

Step-by-Step Solution

1
Analyze the structural role of each claim in the passage.
Identified background context (default rates rising despite algorithmic underwriting), a opposing viewpoint (analysts blame training sets), a rebuttal premise (human-underwritten loans did not see default spikes), a diagnostic premise (algorithms ignore qualitative management experience), and a final policy recommendation.
Deconstructing the argument structure allows differentiation between premises, counter-views, intermediate conclusions, and the final main conclusion.
2
Apply the 'Therefore' test to determine direction of logical support.
Algorithms ignore qualitative management experience, THEREFORE financial institutions should reintroduce mandatory human oversight. The recommendation is supported by the diagnosis, not vice-versa.
The main conclusion must be the claim that receives logical support from all other premises without acting as a premise for a further claim.
3
Evaluate the statement against the identified main conclusion.
The statement accurately expresses the author's ultimate prescriptive recommendation.
Directly matches the target structural component of the passage.

Key Concept

Identifying the Main Conclusion via Argument Structure
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Topics

Identifying Main Conclusions

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