Consider the following argument:
Observation: Here in Nashville, the sun has risen every morning. Conclusion: The sun is going to rise in Nashville tomorrow.

Question

BlackTom AI · Accepted Answer

The scenario presents a simple inductive argument: observing that the sun has risen every morning in Nashville leads to the conclusion that it will rise tomorrow there. Now let's evaluate each option in turn.
Option 1: 'The argument is strong because there are a large number of observations.' This claim would require many observations to increase reliability. In the given setup, we are told about an unspecified (and potentially small) number of observations, not a large sample. Without a clear, large dataset, we cannot confidently label the argument as strong.
Option 2: 'The argument is weak because the observation does not consider other cities.' While considering other cities could affect the scope or generalizability, the core issue for strength here is the sample size and representativeness for Nashville specifically, not cross-city generalization. This option is partially relevant but not as direct a critique of the strength about Nashville’s future sunrise.
Option 3: 'The argument is strong because the premise includes scientific evidence.' No scientific evidence is provided in the premise; it’s simply an observation. Labeling it as strong on the basis of scientific support is incorrect, since the premise does not include any scientific data.
Option 4: 'The argument is weak because there is only one specific case.' This directly targets the key weakness: the conclusion about tomorrow relies on a single locality’s past pattern. Inductive reasoning from one case to a future event in the same case is inherently less reliable than a broader or replicated sample. Therefore, this option correctly identifies the limitation of the argument.
In summary, among the options, the most accurate assessment is that the argument is weak because there is only one specific case, making Option 4 the best choice. The other options either misstate the nature of the evidence, rely on unsupported claims about scientific backing, or overemphasize sample size without addressing the central inductive limitation.

Consider the following argument: Observation: Here in Nashville, the sun has risen every morning. Conclusion: The sun is going to rise in Nashville tomorrow.

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