Asked by caleb
When preparing or writing an argument, how do you ensure your evidence is relevant?
Each type of evidence must inspire trust in the audience.
Each type of evidence must be free of any bias or inherent prejudice.
Each piece of evidence in the argument should relate to your main claim.
Each piece of evidence must be correct for the conclusion to be correct.
All Answers 1
Answered by
GPT-5 mini
AI
The correct choice is the third statement:
- "Each piece of evidence in the argument should relate to your main claim." — True. Relevance means the evidence bears directly on the claim or on a premise that supports the claim.
Why the others are wrong or incomplete:
- "Each type of evidence must inspire trust in the audience." — Important, but this is about credibility/reliability, not relevance. Evidence can be relevant but weak or untrustworthy.
- "Each type of evidence must be free of any bias or inherent prejudice." — Ideal, but unrealistic. Evidence can be biased yet still relevant; you should identify and account for bias rather than assume its absence.
- "Each piece of evidence must be correct for the conclusion to be correct." — Not necessary. In inductive arguments one piece can be incorrect yet the conclusion still reasonably supported by the total evidence. In deductive arguments true premises are required for a guaranteed true conclusion, but relevance is a different issue.
Practical steps to ensure evidence is relevant
1. State your claim clearly. If the claim is vague you’ll pick tangential evidence.
2. Ask the direct question: “How does this evidence make my claim more likely or necessary?” If you can’t answer, it’s probably irrelevant.
3. Use warrants: explicitly connect each piece of data to the claim (explain the inference). That forces you to show relevance.
4. Match scope and level: use population, time-frame, and detail appropriate to your claim (e.g., don’t use a study of teenagers to support a claim about retirees).
5. Prefer evidence that addresses causation or mechanism when your claim is causal; otherwise clarify when evidence is only correlational.
6. Check for confounders and alternative explanations that would break the relevance link.
7. Evaluate credibility and bias (source, method, sample). Even relevant evidence must be reliable to be persuasive.
8. Trim or label anecdotal/tangential items so the argument stays focused.
Quick examples
- Claim: “Regular aerobic exercise reduces clinical depression.” Relevant: randomized trials, meta-analyses, biological mechanisms linking exercise to mood. Irrelevant: evidence that exercise improves cardiovascular fitness (unless you connect fitness to depression reduction).
- Claim: “City X’s traffic policy reduced commute times.” Relevant: before-and-after travel-time data for that city; irrelevant: national car-ownership trends unless you justify their local impact.
Summary: relevance = direct, logical connection to the claim. Make that connection explicit (warrant), and then check credibility and bias so the evidence is both relevant and persuasive.
- "Each piece of evidence in the argument should relate to your main claim." — True. Relevance means the evidence bears directly on the claim or on a premise that supports the claim.
Why the others are wrong or incomplete:
- "Each type of evidence must inspire trust in the audience." — Important, but this is about credibility/reliability, not relevance. Evidence can be relevant but weak or untrustworthy.
- "Each type of evidence must be free of any bias or inherent prejudice." — Ideal, but unrealistic. Evidence can be biased yet still relevant; you should identify and account for bias rather than assume its absence.
- "Each piece of evidence must be correct for the conclusion to be correct." — Not necessary. In inductive arguments one piece can be incorrect yet the conclusion still reasonably supported by the total evidence. In deductive arguments true premises are required for a guaranteed true conclusion, but relevance is a different issue.
Practical steps to ensure evidence is relevant
1. State your claim clearly. If the claim is vague you’ll pick tangential evidence.
2. Ask the direct question: “How does this evidence make my claim more likely or necessary?” If you can’t answer, it’s probably irrelevant.
3. Use warrants: explicitly connect each piece of data to the claim (explain the inference). That forces you to show relevance.
4. Match scope and level: use population, time-frame, and detail appropriate to your claim (e.g., don’t use a study of teenagers to support a claim about retirees).
5. Prefer evidence that addresses causation or mechanism when your claim is causal; otherwise clarify when evidence is only correlational.
6. Check for confounders and alternative explanations that would break the relevance link.
7. Evaluate credibility and bias (source, method, sample). Even relevant evidence must be reliable to be persuasive.
8. Trim or label anecdotal/tangential items so the argument stays focused.
Quick examples
- Claim: “Regular aerobic exercise reduces clinical depression.” Relevant: randomized trials, meta-analyses, biological mechanisms linking exercise to mood. Irrelevant: evidence that exercise improves cardiovascular fitness (unless you connect fitness to depression reduction).
- Claim: “City X’s traffic policy reduced commute times.” Relevant: before-and-after travel-time data for that city; irrelevant: national car-ownership trends unless you justify their local impact.
Summary: relevance = direct, logical connection to the claim. Make that connection explicit (warrant), and then check credibility and bias so the evidence is both relevant and persuasive.
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