STRENGTHEN the Argument LSAT by AceNotes

Strengthen the argument

Identifying ways to make a given claim or reasoning more convincing by adding evidence, addressing potential flaws, or filling in logical gaps. Strengthening arguments typically ask you to select an answer choice that bolsters the core of the argument without introducing new weaknesses. Common traps include options that merely restate the argument, add irrelevant details, or actually weaken it by raising doubts. Focus on choices that directly support the conclusion, provide missing evidence, or eliminate alternative explanations. Always ensure the strengthening element is relevant and targeted. A good tip: Look for answers that resolve the argument's most vulnerable assumptions.

Strengthen the Argument Question

A question type on the LSAT that presents an argument and asks you to select the answer choice that most strengthens it by providing support for the conclusion or resolving a potential weakness.

Argument Structure

— The basic components of an argument, including premises and a conclusion, where strengthening involves bolstering the link between them to make the conclusion more likely true.

Premise in Strengthening

— A statement that supports the conclusion; strengthening an argument often means adding evidence that reinforces existing premises or introduces new ones that directly back the claim.

Conclusion in Strengthening

— The main claim of the argument; effective strengthening options provide evidence or assumptions that make this claim more probable without introducing new weaknesses.

Assumption in Strengthen Questions

— An unstated belief necessary for the argument to hold; strengthening occurs when an answer choice confirms or supports a key assumption, making the argument more solid.

Causal Relationships

— Arguments involving cause and effect; strengthening these requires evidence that shows the proposed cause actually leads to the effect, such as eliminating alternative causes.

Correlation as Evidence

— When an argument uses a correlation to suggest causation; strengthening involves demonstrating that the correlation is not coincidental or that it implies a direct link.

Analogical Arguments

— Arguments based on similarities between cases; strengthening them means providing evidence that the analogies are valid and the situations are truly comparable.

Statistical Evidence

— Data from surveys or studies; strengthening an argument requires ensuring the statistics are representative, reliable, and directly relevant to the conclusion.

Expert Testimony

— Opinions from authorities; strengthening occurs when the expert's credentials are solid and their statement directly supports the argument's core claim.

Counterexample Prevention

— Avoiding potential counterexamples that could weaken the argument; strengthening involves introducing evidence that rules out exceptions or alternative explanations.

Hypothetical Scenarios

— Arguments involving what-if situations; strengthening requires evidence that makes the hypothetical more plausible or aligns it with real-world patterns.

Conditional Statements

— If-then relationships in arguments; strengthening means providing instances where the condition leads to the result, confirming the logical flow.

Survey Reliability

— Factors that make survey data trustworthy; strengthening an argument involves ensuring the survey sample is unbiased and the questions are clear.

Trend Analysis

— Arguments based on patterns over time; strengthening requires data that shows the trend is consistent and likely to continue.

Eliminating Alternatives

— Addressing other possible explanations; strengthening the argument means providing evidence that dismisses competing causes or factors.

Generalization from Specifics

— Drawing broad conclusions from particular examples; strengthening involves showing that the specifics are representative of the larger group.

Temporal Evidence

— Timing-related proof, like sequences of events; strengthening occurs when evidence establishes a clear timeline that supports the causal claim.

Quantitative Support

— Numerical data backing claims; strengthening requires accurate figures that directly correlate with the argument's assertion.

Qualitative Support

— Non-numerical evidence like anecdotes; strengthening means ensuring these are detailed and relevant enough to bolster the conclusion.

Relevance of Evidence

— How well evidence connects to the argument; strengthening depends on choosing options where the evidence is directly tied to the core issue.

Scope of Argument

— The range of the claim being made; strengthening involves evidence that matches the argument's scope without overgeneralizing or underrepresenting.

Predictive Claims

— Arguments about future outcomes; strengthening requires historical data or trends that make the prediction more credible.

Explanatory Power

— How well an argument explains a phenomenon; strengthening means adding details that make the explanation more comprehensive and logical.

Common Trap: Weakening Disguise

— Answer choices that appear to strengthen but actually weaken the argument; avoid these by checking if they introduce doubts or contradictions.

Common Trap: Irrelevant Information

— Options that add unrelated facts; strengthening requires the evidence to directly impact the argument's validity, not just provide extra details.

Common Trap: Out of Scope

— Choices that address issues beyond the argument's focus; strengthening must stay within the argument's boundaries to be effective.

Strategy: Identify the Core

— First, pinpoint the main conclusion and key premises; this allows you to evaluate which answer choices truly strengthen the argument's foundation.

Strategy: Question Assumptions

— Examine what the argument assumes; strengthening often involves selecting options that support these assumptions without creating new ones.

Strategy: Evaluate Impact

— Assess how each answer choice affects the argument; the best one should make the conclusion significantly more likely.

Strategy: Avoid Extremes

— Be cautious of answer choices that go too far or introduce absolutes; strengthening typically involves moderate, targeted support.

Strategy: Use Process of Elimination

— Eliminate options that weaken, are irrelevant, or don't connect; this narrows down to the most effective strengthening choice.

Worked Example: Simple Causation

— In an argument claiming A causes B, a strengthening example might show that when A occurs, B always follows, making the causal link more convincing.

Worked Example: Survey Data

— If an argument generalizes from a survey, strengthening could involve noting the survey's large, random sample, which boosts its reliability.

Worked Example: Analogy

— For an argument comparing two policies, strengthening might add evidence that the similar policy succeeded in a comparable context.

Advanced: Nuanced Assumptions

— In complex arguments, strengthening requires addressing subtle assumptions, like indirect influences, rather than obvious ones.

Advanced: Layered Evidence

— Strengthening with multiple layers, such as combining statistical data with expert insight, to create a more robust argument.

Advanced: Conditional Chains

— In arguments with linked if-then statements, strengthening means confirming each link in the chain to ensure the overall logic holds.

Advanced: Probabilistic Strengthening

— For arguments involving probabilities, strengthening occurs by increasing the likelihood through additional data that reduces uncertainty.

Advanced: Counterfactuals

— Considering what would happen if conditions changed; strengthening involves evidence that supports the argument even in hypothetical alternatives.

Advanced: Interdependent Claims

— When arguments have interconnected parts, strengthening one claim can bolster the whole, but only if the connections are clear and valid.

Advanced: Temporal Nuances

— Strengthening arguments about timing by providing evidence that accounts for delays or simultaneous events, making the sequence logical.

Advanced: Scope Limitations

— In arguments with limited scope, strengthening means adding evidence that justifies the boundaries without expanding them inappropriately.

Advanced: Ethical Considerations

— For arguments involving morals, strengthening requires evidence that aligns with established principles or precedents.

Advanced: Economic Factors

— In policy arguments, strengthening involves economic data that directly supports the predicted outcomes, like cost-benefit analyses.

Advanced: Scientific Method

— Strengthening claims based on science by referencing controlled experiments or peer-reviewed studies that validate the hypothesis.

Advanced: Cultural Contexts

— For arguments in social issues, strengthening means incorporating evidence that considers cultural variations to make the claim more universal.

Common Pitfall: Overstrengthening

— Selecting an answer that makes the argument too absolute; effective strengthening should enhance without altering the original intent.

Common Pitfall: Misinterpreting Evidence

— Confusing correlation with causation in answers; strengthening requires precise evidence that fits the argument's logic.

Quick Tip: Read Carefully

— Always read the question stem to confirm it's a strengthen type, as similar questions might ask to weaken or flaw instead.

Final Check: Overall Effect

— After selecting an answer, verify that it positively impacts the entire argument, not just a minor part.

Practice Approach

— Regularly practice with timed strengthen questions to recognize patterns and improve speed in identifying effective evidence.

Integration with Other Types

— Strengthen questions often overlap with flaw or weaken types; understanding these connections helps in mastering the section.

The conclusion of the argument is most strongly supported if which one of the following is assumed?

This is a Strengthen question with the words “Most Strongly Supported” in the question stem. This is NOT an MSS question. What we’re supporting is the conclusion of the argument as the question stem asks us too. The support structure is flowing from the answer choices to the stimulus.