Strengthen, Weaken & Assumption Questions
1. What You Need to Know
Why these questions matter
Strengthen, Weaken, and Assumption questions are the backbone of LSAT Logical Reasoning because they all test the same core skill: spot the argument’s gap (what the author needs to be true) and manipulate that gap.
Core definitions (precise)
- Strengthen: Pick the choice that, if true, makes the conclusion more likely to follow from the premises.
- Weaken: Pick the choice that, if true, makes the conclusion less likely to follow from the premises.
- Necessary Assumption (a.k.a. “Assumption”): Pick a statement the argument must rely on. If it’s false, the argument falls apart.
- Sufficient Assumption (a.k.a. “Justify/Prove/If Assumed”): Pick a statement that, if true, guarantees the conclusion (makes the reasoning valid).
The one big idea: arguments are rarely airtight
Most LR arguments have:
- Premises (support)
- Conclusion (what they’re trying to prove)
- A gap (unstated link)
Strengthen/Weaken/Assumption questions are all about that gap.
When to use which mindset
- If the stem says “most strengthens/supports”: you’re doing probability—make it more plausible.
- If the stem says “most weakens/undermines/calls into question”: find a credible hit to the link.
- If the stem says “assumption required/depends on”: find what must be true (use Negation Test).
- If the stem says “if assumed enables/draws conclusion properly/justifies”: you’re building a bridge that makes the conclusion follow.
Critical reminder: Strengthen/Weaken deal in degree (more/less likely). Sufficient Assumption deals in certainty (valid if added).
2. Step-by-Step Breakdown
A. Universal setup (do this for all four types)
- Identify the conclusion (look for “therefore,” “thus,” recommendation, prediction, judgment).
- List the premises (facts/evidence).
- Describe the gap in plain English: “The author assumes that …”
- Prephrase what would help/hurt/need-to-be-true.
- Go to answers with the gap in mind.
B. Strengthen questions (method)
- Do the universal setup.
- Ask: What would make the premises more predictive of the conclusion?
- Look for answers that:
- Rule out alternatives (most common)
- Support a missing link (premise → conclusion)
- Add a helpful new premise that directly bears on the conclusion
- Confirm representativeness (for samples/surveys)
Mini-walkthrough
- Premise: “People who take Course X score higher.”
- Conclusion: “Course X causes higher scores.”
- Gap: correlation ≠ causation; maybe stronger students self-select.
- Strongener: “Students were randomly assigned to Course X or not.”
C. Weaken questions (method)
- Do the universal setup.
- Ask: What could be true that makes the conclusion less likely?
- Common weaken moves:
- Alternative cause/explanation
- Counterexample (premises true, conclusion fails)
- Attack a key premise (credibility, measurement, sampling)
- Show the relationship could be reversed (especially in causal claims)
Mini-walkthrough
- Premise: “Crime rose after Streetlights installed.”
- Conclusion: “Streetlights increased crime.”
- Weakener: “Streetlights were installed because crime was already rising.”
D. Necessary Assumption (NA) questions (method)
Typical stems: “The argument assumes,” “depends on,” “requires,” “is based on the assumption that.”
- Do the universal setup.
- Prephrase: What MUST be true for this reasoning to work at all?
- Use the Negation Test on contenders:
- Negate the answer.
- If negation wrecks the argument, it’s necessary.
- If negation leaves the argument mostly intact, it’s not necessary.
How to negate cleanly (LSAT-style)
- “All” → “Not all”
- “Some” → “None”
- “Many” → “Not many” (careful; often better to use “at most a few” conceptually)
- “Will” → “May not”
- “Must” → “Not necessarily”
Don’t over-negate into an extreme opposite. You want the logical negation, not the “polar opposite.”
E. Sufficient Assumption (SA) questions (method)
Typical stems: “Which, if assumed, allows the conclusion to be properly drawn,” “justifies,” “enables,” “renders valid.”
- Do the universal setup.
- Think: What rule/bridge would make the conclusion follow for sure?
- Look for an answer that:
- Connects the key premise to the conclusion (often by adding a missing conditional)
- Eliminates the gap entirely
- Quick check: With that answer added, does the argument become valid (or very close)?
Mini-walkthrough
- Premise: “All licensed dentists completed dental school.”
- Conclusion: “Kim completed dental school.”
- Missing link: Kim is a licensed dentist.
- SA: “Kim is a licensed dentist.” (Now conclusion follows.)
3. Key Formulas, Rules & Facts
Question type quick ID (by stem)
| Question type | Common stem language | What correct answers do |
|---|---|---|
| Strengthen | “most supports,” “strengthens,” “bolsters” | Makes conclusion more likely |
| Weaken | “most weakens,” “undermines,” “casts doubt” | Makes conclusion less likely |
| Necessary Assumption | “assumes,” “depends on,” “requires,” “presupposes” | Must be true; negation kills argument |
| Sufficient Assumption | “if assumed,” “allows properly drawn,” “justifies,” “enables” | Added premise makes argument valid |
The “Gap” playbook (most common patterns)
| Argument pattern | What’s usually missing | Strengthen/Weaken focus | Assumption focus |
|---|---|---|---|
| Causation (A causes B) | No confounders; direction; mechanism | Alternative causes, reverse causation, controlling variables | NA: no better explanation; SA: rule that links A to B without alternatives |
| Sampling/Survey | Sample represents population; unbiased measure | Sample size, selection bias, question wording | NA: sample is representative |
| Comparison (“X is better than Y”) | Same standard, same context | Apples-to-apples; hidden tradeoffs | NA: criteria used is the relevant one |
| Analogy (“X is like Y, so…”) | Relevant similarities outweigh differences | Show key similarity (strengthen) or key difference (weaken) | NA: similarity is relevant to the conclusion |
| Conditional reasoning (“If P then Q…”) | Missing link P→Q; mistaken reversal/negation | Provide missing conditional; attack conditional chain | SA often supplies the needed conditional bridge |
| Plan/Recommendation | Plan will achieve goal; no side effects | Feasibility, costs, unintended consequences | NA: plan addresses the cause of problem |
Necessary vs. Sufficient Assumption (must-know distinctions)
| Feature | Necessary Assumption (NA) | Sufficient Assumption (SA) |
|---|---|---|
| Strength needed | Often modest (“doesn’t have to fully prove”) | Often strong (“must guarantee”) |
| Test | Negation Test | “Does it make argument valid?” test |
| Common trap | Picking something that would help but isn’t required | Picking something merely helpful, not enough to prove |
| Typical wording | “assumes,” “requires,” “depends on” | “if assumed,” “enables,” “allows,” “justifies” |
Two high-yield answer choice tells
- NA answers often use softer language: “some,” “at least one,” “not all,” “may,” “not necessarily.”
- SA answers often use stronger language: “all,” “none,” “must,” “guarantees,” “only if,” “if and only if.”
These are tendencies, not rules. Always match to the gap.
4. Examples & Applications
Example 1: Causation (Strengthen vs Weaken)
Stimulus: “After City Z banned plastic bags, street litter decreased. Therefore, the ban caused the decrease in litter.”
- Gap: Other changes could have caused the drop (new fines, more cleanup crews, seasonal effects).
- Strengthen: “No other anti-litter policies or enforcement changes occurred during that period.” (rules out alternatives)
- Weaken: “During the same period, City Z doubled the number of trash bins and added daily street cleaning.” (alternative cause)
Example 2: Sampling (Necessary Assumption)
Stimulus: “In a poll of visitors to an organic food store, 80% supported the new pesticide regulations. So most residents of the city support the regulations.”
- Conclusion: Most city residents support the regulations.
- Gap: Organic-store visitors may not represent the city.
- NA: “Visitors to the organic food store are representative of city residents regarding views on pesticide regulations.”
- Negation: “Visitors… are not representative…” → Then the poll can’t support the citywide claim. Argument collapses.
Example 3: Conditional bridge (Sufficient Assumption)
Stimulus: “Every employee who completed cybersecurity training follows the new password protocol. Dana follows the new password protocol. Therefore, Dana completed the training.”
- Problem: Mistaken reversal (From to ).
- SA that fixes it: “Only employees who completed cybersecurity training follow the new password protocol.”
- Now you have , so conclusion follows.
Example 4: Strengthen that’s NOT an assumption (edge case)
Stimulus: “The museum should extend weekend hours because attendance is higher on weekends than weekdays.”
- Good strengthener: “A significant number of weekend visitors report leaving early because the museum closes too soon.”
- Tempting wrong answer (common trap): “The museum’s weekday attendance has declined over the past year.”
- This might be true and interesting, but it doesn’t directly support the idea that extended weekend hours will help.
5. Common Mistakes & Traps
Mistaking a premise booster for a conclusion booster
- Wrong move: Choosing an answer that makes a premise more believable but doesn’t connect premises to conclusion.
- Fix: Ask: “Even if this is true, does it make the conclusion more/less likely?”
Forgetting alternative explanations (especially in causation)
- Wrong move: Strengthen/weaken without considering confounders, reverse causation, or coincidences.
- Fix: For any causal conclusion, quickly scan: alternative cause, reverse cause, common cause, measurement error.
Using the Negation Test on the wrong question type
- Wrong move: Negation-testing Strengthen or Sufficient Assumption.
- Fix: Negation Test is primarily for Necessary Assumption.
Negating too aggressively (creating the “opposite” instead of the negation)
- Wrong move: Negating “some” as “all not” correctly is “none,” but negating “many” as “none” is usually too strong.
- Fix: Use minimal logical negation: “must” → “not necessarily,” “all” → “not all.”
Picking an answer that’s relevant but out of scope
- Wrong move: Answer talks about the topic but not the specific logical link.
- Fix: Identify the exact claim being proven; stay on that track.
Confusing Necessary vs Sufficient Assumptions
- Wrong move: On NA, picking a powerful statement that would prove the argument but isn’t required; or on SA, picking a mild statement that helps but doesn’t guarantee.
- Fix: NA = “must be true”; SA = “enough to prove.”
Falling for “restate the premise” answers
- Wrong move: Choosing an answer that repeats what the stimulus already said.
- Fix: Premise restatements rarely change anything; you need a new link or a new hit.
Missing quantifier shifts (“some” to “most” to “all”)
- Wrong move: Letting the conclusion sneak in a stronger quantity than the evidence supports.
- Fix: Strengthen/assumptions often need a bridge from “some observed” to “most/all claim” (usually via representativeness or additional evidence).
6. Memory Aids & Quick Tricks
| Trick / mnemonic | What it helps you remember | When to use |
|---|---|---|
| CLAP: Conclusion, Link, Assumption, Pick | A fast order of operations | Any S/W/A question |
| CAR (Causation checks): Common cause, Alternative cause, Reverse causation | The standard ways causation fails | Any causal conclusion |
| Negate to Nuke | If negation nukes the argument, it’s necessary | Necessary Assumption |
| Bridge to Bury the Gap | You need a strong bridge that forces the conclusion | Sufficient Assumption |
| Apples-to-Apples | Comparisons must use same standard/context | Comparison/“better than” arguments |
| Survey = Sample | Poll conclusions need representativeness | Polling/sampling arguments |
7. Quick Review Checklist
- Find the conclusion first; everything else depends on that.
- State the gap in one sentence (“They’re assuming that…”).
- Strengthen: rule out alternatives, support the missing link, confirm representativeness.
- Weaken: introduce an alternative explanation, show reverse causation, give a counterexample, attack measurement/sample.
- Necessary Assumption: must be true; use the Negation Test.
- Sufficient Assumption: makes the argument valid; look for a powerful bridge.
- Watch for classic patterns: causation, sampling, comparison, analogy, conditional logic.
- Don’t pick answers that are merely on-topic; they must affect the premise → conclusion connection.
You’ve got this—if you can consistently name the gap, these question types start to feel mechanical.