What this quiz covers
This quiz focuses on Strengthen, giving you a quick way to practice the rules, question types, and explanations that matter most for LSAT.
After deploying a machine-learning system that tailors retention offers, a streaming service saw a 10 percent drop in churn among users who received offers compared with those who did not. The data team concludes the algorithm reduces churn. Skeptics argue that offers may have been targeted at subscribers already inclined to stay, or that a new hit series kept users engaged. If either factor explains the drop, the conclusion would be premature.
Which one of the following, if true, provides the most support for the conclusion above?
LSAT Quiz
Practice Strengthen in LSAT with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.
This quiz focuses on Strengthen, giving you a quick way to practice the rules, question types, and explanations that matter most for LSAT.
Try each quiz question before looking at the correct answer. Use the explanations to review missed ideas, then come back to similar questions until the pattern feels familiar.
After deploying a machine-learning system that tailors retention offers, a streaming service saw a 10 percent drop in churn among users who received offers compared with those who did not. The data team concludes the algorithm reduces churn. Skeptics argue that offers may have been targeted at subscribers already inclined to stay, or that a new hit series kept users engaged. If either factor explains the drop, the conclusion would be premature.
Which one of the following, if true, provides the most support for the conclusion above?
Explanation: The conclusion is that the algorithm itself reduces churn. The skeptics offer two rival explanations: offers went to users already likely to stay, and a new hit series boosted engagement. The best support neutralizes both. The randomized A/B test does exactly this: random assignment stratified by baseline risk rules out the targeting objection, and adjusting for exposure to the hit series rules out the show. That leaves the algorithm as the cause. The description of gradient-boosted trees and retuning explains how the model works but says nothing about whether it caused the drop rather than the rival factors. The complaints about extra notifications, if anything, describe a negative user reaction and give no evidence that offers reduced churn. The industry-wide seasonal decline actually supports a rival explanation—churn fell everywhere anyway—so it weakens rather than strengthens the causal claim. The point about old devices receiving plain-text offers concerns a technical limitation for a small segment and does nothing to eliminate the targeting or hit-series explanations. Only the randomized comparison isolates the algorithm's effect.
After the new high-speed rail line began service to Seabrook, weekend visitor counts reported by local businesses rose markedly. The mayor argues that the rail line caused the increase in tourism. Yet a regional marketing campaign launched around the same time, and a seaside festival drew crowds that month. Even so, the mayor maintains the rail connection is the principal driver of the rise.
Which one of the following, if true, most strengthens the argument?
Explanation: The argument concludes the rail line, rather than the marketing campaign or festival, caused the visitor increase. The winning choice shows that highway traffic did not grow while ticketing records place most of the extra visitors on the new train—this directly ties the rise to the rail line and rules out arrival by car. The choice about the campaign naming Seabrook and three other towns with similar gains actually weakens the argument, suggesting the campaign, not the rail, drove tourism. The hotels charging higher festival-weekend prices only shows demand during the festival, pointing to an alternative cause. The neighboring town without a rail link seeing a comparable rise undercuts the rail explanation by showing the increase happened even without rail service. The weekday-only discounted fares are irrelevant, since the counts that rose were weekend visitors, when those discounts did not apply. Only the traffic-and-ticketing evidence connects the specific mode of arrival to the rail line, so it alone strengthens the mayor's claim.
A new regulation will require coal-fired plants in the region to install catalytic scrubbers projected to cut particulate emissions by nearly a third. Because airborne particulate concentrations drive most of our area's unhealthy air days, implementing this rule should significantly improve regional air quality. Skeptics note that traffic and weather patterns also affect particulate levels and might overwhelm reductions from the plants. Even so, the regulation will likely deliver the promised air-quality benefits.
Which one of the following, if true, most strengthens the argument?
Explanation: The argument concludes that the scrubber rule will improve air quality despite the skeptics' point that traffic and weather also affect particulate levels. The claim that in demographically and meteorologically similar regions comparable scrubbers cut regional particulate levels substantially while traffic and weather stayed stable directly supports this: it isolates the scrubbers' effect from the very variables the skeptics raise, showing the plants' reductions were not overwhelmed. The option about costly multi-week shutdowns concerns expense, not whether air quality improves, so it is irrelevant to the conclusion. The option noting that several plants already meet the standard actually weakens the argument, since it means the rule produces fewer new reductions. The option about rising vehicle emissions supports the skeptics by suggesting traffic could offset the plants' gains. The option about the enforcement timeline tells us when the rule takes effect but nothing about whether it will deliver the promised air-quality benefit. Only the comparison-region evidence gives a reason to expect the reductions to hold up.
In a small, open-label trial, patients taking compound Z reported fewer monthly migraine days after eight weeks. The sponsor concludes that Z reduces migraine frequency. However, symptoms often fluctuate naturally, and patients who expect relief may report it even without biological effect; moreover, the study lacked a matched comparison group and did not verify adherence objectively. Some participants also adjusted caffeine intake during the trial.
Which one of the following, if true, most strengthens the argument?
Explanation: The argument claims Z itself reduces migraine frequency, but the original trial can't rule out placebo effects, natural fluctuation, or uneven adherence. The choice describing a double-blind, randomized, placebo-controlled study directly answers all of these: if Z beats placebo when severity and adherence match, the improvement is genuinely attributable to Z. That's why it most strengthens the conclusion. The choice about patients recording symptoms in phone diaries only describes how data was collected—it adds nothing about whether Z, rather than expectation or natural change, caused the improvement. The choice noting that migraine sufferers often change their diets actually reinforces a confounder the passage already raises (caffeine adjustments), so it weakens rather than strengthens. The choice citing a related compound in another open-label study repeats the same uncontrolled design flaws, so it can't rescue the causal claim. The choice stating that migraine frequency naturally decreases over time supplies an alternative explanation for the reported improvement, undermining the argument. Only the controlled trial isolates Z's effect.
A company introduced a sleep-hygiene workshop for employees, and over the following quarter, teams whose members attended reported higher productivity scores. Management concludes that the workshop improved productivity. Skeptics argue that the workshop attracted already highly motivated employees and that a seasonal lull in client demands may have inflated scores. Management responds that motivation alone cannot explain the magnitude of the increase.
Which one of the following, if true, most strengthens the argument?
Explanation: The argument concludes the workshop itself improved productivity. The strongest support comes from the randomized trial: random assignment makes the workshop and non-workshop groups otherwise similar, so it neutralizes the selection worry that motivated people self-selected in, and holding client demand constant neutralizes the seasonal-lull worry. That directly isolates the workshop as the cause. The weekend-sleep finding is about how people feel, not about productivity, and even notes no change in scores, so it fails the ask. The claim that non-attending teams took on tighter deadlines introduces a confound and actually offers an alternative explanation for the score gap rather than ruling one out. Employees recommending the workshop or finding it engaging measures satisfaction, not whether productivity causally rose. The cafeteria's new decaf options are irrelevant to the workshop's effect and, if anything, add another possible cause. Only the randomized comparison rules out the rival explanations the skeptics raised.
After the county banned recreational fishing on Lake Alder last year, spring surveys recorded sharply higher counts of mature bass and trout. Wildlife managers infer that the ban allowed fish populations to rebound. Critics point out that the same period saw unusually wet winters and new upstream fertilizer restrictions, either of which could improve fish survival. Also, the volunteer groups conducting surveys changed their sampling sites, which could affect counts.
Which one of the following, if true, most strengthens the argument?
Explanation: The correct answer sets up a controlled comparison: two nearby lakes shared the same weather and fertilizer conditions, yet counts rose only on the lake that added a fishing ban. By holding the critics' alternative causes constant and isolating the ban as the one difference, it directly supports the managers' causal claim. The report of fewer catches just before the ban says nothing about whether populations later rebounded, so it fails to strengthen. The bait shops' reduced hours and layoffs describe an economic side effect of the ban, not evidence about fish numbers. The new nets and improved training actually undercut the argument, since better sampling could explain the higher counts without any real rebound. Improved water clarity from an absence of algae blooms points to an alternative cause tied to the mild weather the critics raised, so it weakens rather than strengthens. Only the cross-lake comparison rules out competing explanations, making it the single best answer.
After adopting flexible work schedules, Firm R reported a 40 percent reduction in late project deliveries over six months. Management concludes that flexibility caused the improvement. Some analysts counter that the firm also hired additional project managers and shifted toward shorter projects, either of which could reduce lateness. Management replies that the reduction appeared across departments with different workloads. Still, they insist scheduling choice was the key driver.
Which one of the following, if true, provides the most support for the conclusion above?
Explanation: The conclusion is that flexible scheduling itself caused fewer late deliveries. The strongest support isolates flexibility from the rival explanations. The matched-analysis choice does exactly that: by comparing teams equal in complexity, size, and manager tenure, and holding staffing constant, it shows lateness fell only where flexibility was adopted — ruling out extra managers and shorter projects. The trust-and-morale survey is off target; feeling trusted is not evidence that flexibility, rather than staffing or project length, reduced lateness. The marketing-budget cut is irrelevant, since ad spending has no clear link to delivery timeliness. The competitor result actually weakens the conclusion: if firms without flexibility improved just as much, an industry-wide trend, not the policy, may explain Firm R's numbers. The longer-breaks detail describes how flexibility was used but gives no reason to think it improved on-time delivery. Only the matched comparison directly supports a causal role for flexibility.
Across a 300-mile river basin, archaeologists have excavated distinctive leaf-shaped chert blades of identical dimensions dated to the same century. One researcher argues that a single dominant culture occupied the entire basin at that time. However, critics propose that multiple small cultures could have traded or imitated the blades. They also note that shared styles sometimes spread without political unification.
Which one of the following, if true, provides the most support for the conclusion above?
Explanation: Strengthening questions ask which fact makes a conclusion more likely — not which one proves it. Here the conclusion is that a single dominant culture occupied the whole 300-mile basin, and the critics offer two rival explanations for the identical blades: trade or imitation. Choice B attacks one of those branches. If microwear and residue show identical manufacturing techniques, and isotope analysis ties every blade to a single quarry used nowhere else that century, then independent communities were not copying an admired design with their own local stone. The imitation story collapses. Be honest about the limits, though: one quarry and one technique are still consistent with a single workshop trading finished blades outward. B narrows the field rather than sealing the case — and on the LSAT, narrowing the field is exactly what "most support" means. No other option helps at all. A actively weakens the conclusion: varied pottery suggests distinct local traditions. C also weakens it by supplying the trade-and-exchange mechanism the critics wanted, among "many river communities." D restates the imitation objection in flattering language — attractive design invites independent adoption. E compares sites outside the basin from a much earlier era, so it is irrelevant on both geography and date. Takeaway: before choosing, ask whether an option supports, weakens, or is simply off-topic — and accept the strongest partial help when perfection is not on the menu.
After the museum unveiled its 'Ancient Oceans' exhibition, monthly attendance rose by 25 percent relative to the same months the previous year. The director concludes that the new exhibition drove the increase. However, the city also launched a well-publicized summer festival that brought many visitors downtown.
Which one of the following, if true, most strengthens the argument?
Explanation: C directly links the increased attendance to the exhibition, reducing the likelihood that the city festival explains the spike. The other options are irrelevant or suggest competing causes.
In a semester-long study, students who used a daily planner submitted 12 percent more assignments on time than those who did not. The researcher concludes that using a planner increases timely submission. A rival explanation is that naturally conscientious students are more likely both to adopt planners and to turn work in promptly.
Which one of the following, if true, provides the most support for the conclusion above?
Explanation: D addresses the main alternative explanation by showing the groups did not differ in conscientiousness at baseline. The other choices are irrelevant, confounding, or only correlate without isolating the causal effect.
Six months after the city replaced stop-sign intersections with roundabouts at twenty busy junctions, police reports show a substantial drop in collisions citywide. City officials conclude that installing roundabouts reduces collisions. But over the same period, a public awareness campaign about safe driving ran, and seasonal weather typically improves visibility. Even so, the officials claim the roundabouts are the decisive factor.
Which one of the following, if true, provides the most support for the conclusion above?
Explanation: The officials must rule out the rival causes—the awareness campaign and improved seasonal visibility—that would have affected the whole city. If the drop in collisions happened almost entirely at the twenty converted junctions while other intersections stayed the same, the effect is tied specifically to the roundabouts, not to citywide factors. That is the strongest support. A similar decline in nearby suburbs that changed nothing actually points to a broader regional cause, weakening the roundabout explanation. Falling insurance premiums merely restate that collisions dropped; they add no evidence about the cause. The high cost of roundabouts and how much budget they used speaks to expense, not to whether they reduce collisions. The campaign's focus on winter driving strengthens a competing explanation—that the campaign or the season caused the drop—rather than supporting the roundabouts. Only the choice localizing the decline to the converted junctions isolates the roundabouts as the decisive factor.
Last year, the town installed speed bumps on five residential streets that previously had frequent collisions. In the six months after installation, reported accidents on those streets fell by 40 percent. Some residents suggest the decline merely reflects a general shift toward safer driving citywide, possibly due to milder weather and reduced traffic. Nonetheless, the traffic department concludes that the new speed bumps were the primary cause of the reduction and recommends expanding the program to similar streets.
Which one of the following, if true, most strengthens the argument?
Explanation: The department must rule out the residents' rival explanation—that a citywide shift toward safer driving caused the drop. If comparable streets WITHOUT speed bumps saw no decline over the same period, then a general trend cannot account for the improvement, so the speed bumps become the likely cause. That directly strengthens the causal claim. The cost overrun tells you about budgeting, not about whether speed bumps reduced accidents, so it is irrelevant to the causal link. Fewer speeding tickets citywide actually supports the residents' rival explanation—it suggests driving improved everywhere, which would weaken the department's claim, not strengthen it. The single minor crash unrelated to speed is one anecdote that neither confirms nor undermines a 40 percent trend, and being speed-unrelated says nothing about the speed bumps' effect. The bright paint and signs describe a feature of the bumps but offer no evidence that accidents actually fell because of them; a plausible mechanism is not proof of an effect. Only the comparison with similar bump-free streets isolates the speed bumps as the cause, which is exactly what a strengthener must do here.
To reduce congestion, Midland University offered free transit passes to all employees starting in January. By March, morning vehicle counts on streets surrounding campus were down 15 percent. Administrators conclude that providing free passes reduced traffic. However, that period also saw unusually heavy snow, which might have discouraged driving regardless of the passes. The administrators provide no data about other nearby areas. If weather drove the change, similar declines should appear citywide.
Which one of the following, if true, provides the most support for the conclusion above?
Explanation: The administrators' worry is that snow, not the passes, caused the 15 percent drop. If snow were the cause, every area should show a decline. The winning choice tests exactly this: comparable neighborhoods that had no free-pass program showed no decline during the same snowy period. That rules out weather as the sole cause and points to the passes, strengthening the conclusion. The choice about employees living in outlying suburbs slightly weakens the argument, since it suggests some workers could not use the passes. The choice about raised parking fees the previous summer introduces a rival cause for reduced driving, which undercuts rather than supports the pass explanation. The choice about citywide ridership rising is too vague—a slight, general increase does not connect the campus-area drop to the passes and could equally reflect weather. The choice about how the passes were funded describes the budget source, which is irrelevant to whether the passes reduced traffic.
Participants who suffer frequent headaches volunteered for a trial of Willowbark, an herbal supplement. After eight weeks, 60 percent reported fewer headaches than before, so the researcher concludes Willowbark effectively reduces headache frequency. A critic notes that volunteers might have expected improvement or simultaneously changed other habits, which could explain the results. Moreover, participants were allowed to continue any over-the-counter remedies.
Which one of the following, if true, provides the most support for the conclusion above?
Explanation: The conclusion is that Willowbark itself reduces headaches, but the critic points out that expectation, other habit changes, or continued over-the-counter remedies could explain the 60 percent result. The double-blind randomized placebo-controlled finding directly rules out those alternatives: patients who couldn't know what they took still improved more on Willowbark than on placebo, so the effect isn't just expectancy or habit change. That's why it best supports the conclusion. The claim that many participants had tried other supplements without success tells us nothing about whether Willowbark caused this improvement. That Willowbark comes from a bark used in folk medicine is irrelevant background; long use doesn't establish effectiveness. Reports of mild nausea and dizziness concern side effects, not whether headaches actually decreased. And noting that hydration and sleep went untracked, if anything, highlights an uncontrolled alternative explanation rather than strengthening the causal claim.
At Oakridge College, students who took vitamin D supplements all semester scored higher on final exams than those who did not. Critics suggest the difference could stem from supplement users' being more health-conscious and thus studying more. However, the college concludes that vitamin D itself likely improved performance, not merely healthier habits. The comparison was observational, not randomized, and the two groups differed in club participation.
Which one of the following, if true, provides the most support for the conclusion above?
Explanation: The conclusion is causal: vitamin D itself, not merely healthier habits, improved exam performance. The randomized, double-blind study that equalized study hours directly rules out the studying-more objection and isolates vitamin D as the cause — exactly what strengthens a causal claim built on shaky observational data. The choice about vitamin D and strong bones and immunity is true but tangential; bone health says nothing about exam scores. The finding that high-vitamin-D students exercised more actually introduces a confound (exercise, not vitamin D) and undercuts rather than supports the conclusion. Fewer colds and sick days is a plausible health benefit but does not connect vitamin D to test performance, so it fails the actual ask. Exams being easier this year is irrelevant, because it would affect both groups equally and explains no gap between them. Only the controlled experiment removes the alternative explanations and supports the causal conclusion.
A city opened a new bike lane on a busy avenue. In the three months afterward, the number of reported bicycle accidents on that avenue fell by 40% compared to the three months before. Because the speed limit and traffic signals were unchanged, a council member concludes that the bike lane made cycling safer. Therefore, building bike lanes on all major avenues will reduce bicycle accidents citywide by a similar percentage, and the reduction will continue as more people choose to commute by bike.
Which one of the following, if true, most strengthens the argument?
Explanation: The council member treats the 40% drop in accidents as proof that the lane made cycling safer, then generalizes citywide. The key gap: fewer accidents could simply mean fewer cyclists were riding, not that each cyclist was safer. Confirming that bicycle traffic on the avenue did not decrease closes that gap—if just as many people rode yet accidents fell, the drop reflects genuine safety, supporting the conclusion. That is why it strengthens the argument. The repaving option is tempting, since smoother pavement could affect safety, but it offers an alternative cause for the drop rather than backing the claim that the lane itself made cycling safer—if anything, it weakens the argument. That some accidents go unreported concerns how the data was gathered; it neither supports the conclusion nor tells us whether the true reduction was larger or smaller. Residents' belief that bike commuting cuts air pollution addresses a benefit unrelated to accident rates, so it does nothing to support a safety claim. That other similar-sized cities have built bike lanes says nothing about whether those lanes reduced accidents, so it cannot strengthen the causal conclusion. Only stable ridership rules out the main competing explanation.
Following the launch of Riverton's small-business grant program in January, the number of new business licenses issued in the city rose 30 percent by June compared to the previous year. City officials conclude that the grant program spurred the increase. Skeptics point out that the regional economy has been expanding and that the state simultaneously cut filing fees, either of which could produce more licenses regardless of the grants. Officials cite no comparative data.
Which one of the following, if true, most strengthens the argument?
Explanation: The argument concludes the grants caused the 30 percent rise, but the regional boom and the fee cut are alternative causes. The correct answer rules both out: growth clustered among grant-eligible firms, and comparable cities that had the fee cut but no grants saw no similar increase—so the grants, not the economy or fees, best explain Riverton's jump. The claim that grant recipients were mostly in retail and food service tells us who got grants, not whether grants caused new licenses. Heavy social-media promotion shows the program was visible, but visibility doesn't establish that it produced licenses rather than the economy or fees. Denying some qualified applicants for lack of funds actually suggests fewer grants than demand—it does nothing to link grants to the increase. Steady population growth over a decade supports the skeptics' 'expanding economy' explanation, weakening rather than strengthening the officials' case.
Last spring, the city reduced bus fares by 25 percent. In the six months following, total bus ridership rose 18 percent compared to the same months the previous year. City officials conclude that the fare reduction caused the surge in ridership. Skeptics note that other factors, such as added routes, special events, fluctuations in gasoline prices, or unusual weather, might explain the increase. Officials reply that there were no system-wide service enhancements during that period, but critics question whether that reply addresses all possibilities.
Which one of the following, if true, most strengthens the argument?
Explanation: The officials argue that the cheaper fare caused the ridership jump, but skeptics list rival explanations: gas prices, weather, and special events. The correct choice directly closes off exactly those rival causes—confirming gas prices were stable, weather was typical, and no citywide events occurred—so the fare change is left as the best remaining explanation. The strike choice actually weakens the argument: it offers a competing reason ridership looks higher, since last year's baseline was artificially low. The social-media choice is tangential; more followers or online reach doesn't establish that the fare cut, rather than anything else, drove ridership. The reliability-survey choice reports rider preferences, not any change that occurred during the period, so it cannot explain a rise tied to the fare cut—and it even hints price matters less. The low-income choice explains who benefited but not whether the fare cut, versus gas prices, weather, or events, caused the overall increase. Only the choice ruling out the named alternatives strengthens the causal conclusion.
An online survey found that adults who reported drinking chamomile tea before bed slept, on average, 30 minutes longer than adults who did not. The survey's authors conclude that chamomile tea improves sleep duration. But respondents self-selected into tea consumption, and factors like exercise, caffeine use, or stress levels were not measured. Also, people who choose herbal teas might differ in unobserved ways from non-tea drinkers.
Which one of the following, if true, provides the most support for the conclusion above?
Explanation: The conclusion is causal: chamomile tea improves sleep duration. The strongest support comes from a controlled experiment. The double-blind randomized trial randomly assigns tea versus placebo and holds exercise and caffeine constant, so the longer sleep can be credited to the tea itself rather than to who chose to drink it. This directly answers the passage's worries about self-selection and unmeasured confounds. The choice about disliking chamomile's taste only explains who drinks it, not whether it affects sleep, so it does nothing for the causal claim. The choice about companies advertising chamomile speaks to why people might try it, not to whether it actually lengthens sleep. The choice about tea drinkers reading quietly beforehand introduces a rival explanation—the reading, not the tea, could be causing the extra sleep—so it weakens rather than supports the conclusion. The choice noting that tea drinkers were more often female and had higher-paying jobs highlights exactly the kind of group differences the passage warns about, suggesting a confound instead of a cause. Only the randomized, blinded trial rules out these alternatives and supports the conclusion.
Following a ban on curbside parking along its main commercial street, Riverton reported a sharp rise in retail sales tax receipts over the next two quarters. City officials conclude that removing parking boosted sales by speeding buses and widening pedestrian space. Skeptics note that the regional economy expanded during that period and a new outlet mall opened nearby. The conclusion would be stronger if the sales increase could be tied uniquely to the policy and location affected.
Which one of the following, if true, most strengthens the argument?
Explanation: The officials claim the parking ban itself caused the sales jump, but the skeptics offer rivals: a growing regional economy and a new outlet mall. To strengthen the argument, you want evidence that isolates the ban from those region-wide factors. The correct choice does exactly this: gains showed up specifically on the affected blocks but NOT on similar blocks in nearby towns that kept curbside parking. That comparison rules out broad regional growth and points the cause back to the policy and its location. Why the others fail: fewer bus delays across the whole region actually supports the skeptics' regional explanation and never ties the gain to Riverton's street. Stable sales on a distant residential side street tell you nothing about the commercial street where the ban applied. The outlet mall detail strengthens a competing cause, since a regionally advertised mall could itself explain the higher receipts. Extended store hours introduce a different possible cause for the sales rise, weakening the claim that removing parking was responsible. Only the keyed choice provides a controlled comparison that connects the increase uniquely to the policy.