Questions for: Analyzing Arguments
Consider the following argument:
✅ Option B most weakens the argument by attacking the representativeness of the initial survey data. If the survey was limited to subscribers of only one mobile network provider, the finding that "70% of its residents" own a smartphone may not be true for the entire population of City X. This undermines the foundation of the argument, making any conclusion drawn about "most people in City X" unreliable.
❌ Option A weakens the *inference* from smartphone ownership to a preference for text messaging, but it accepts the premise that 70% of residents own smartphones. Option B, however, questions the validity of that premise for the entire city, which is a more fundamental attack on the argument's scope.
❌ Option C describes the communication preferences of non-smartphone owners, which is irrelevant to the argument's conclusion about the preferences of the broader population based on smartphone ownership.
❌ Option D provides demographic information about the city's population growth, which has no direct bearing on the percentage of residents owning smartphones or their communication preferences.
A recent study found that students who spend more time on social media tend to have lower average grades. The study concluded that increased social media use directly causes a decline in academic performance.
✅ The argument incorrectly assumes that because two factors (social media use and lower grades) are correlated, one must directly cause the other.
❌ While the type of content could be a confounding variable, the fundamental logical flaw is the jump from correlation to causation, not merely missing a specific variable.
❌ The inclusion or exclusion of non-social media users might affect the study's scope or statistical power, but it doesn't represent the primary logical error in concluding causation from correlation within the given statement.
❌ The definition of "academic performance" relates to the precision and validity of the study's measurements, not the core logical error in inferring a causal link from an observed correlation.
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A town recently implemented a new policy requiring all public streetlights to be turned off between 1 AM and 4 AM to conserve energy. In the three months following the policy's implementation, the local police department reported a 15% increase in petty theft incidents. The town council concluded that turning off the streetlights directly led to the rise in crime and decided to reverse the policy immediately.
✅ The town council's conclusion establishes a direct causal link between the streetlights being off and the increase in crime.
For this conclusion to be valid, they must assume that no other significant factors (e.g., economic downturn, changes in police presence, seasonal crime patterns) occurred during that period that could also explain the rise in petty theft.
❌ Option A is a speculative claim about a hypothetical scenario, not an assumption underlying the direct causal link presented.
❌ Option B is a supporting premise that would strengthen the argument, but it's not the fundamental unstated assumption that *other factors* are absent.
❌ Option D is a value judgment about priorities, not an unstated assumption directly supporting the causal connection between streetlights and crime rate increase.
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"Since 'Healthy Harvest' opened its doors last month, the local convenience store, 'Quick Stop', has seen a 25% drop in sales of packaged snack foods. Therefore, 'Healthy Harvest' is directly responsible for 'Quick Stop's' declining snack food revenue."
✅ The argument concludes that Healthy Harvest is "directly responsible" for the decline in Quick Stop's snack sales. For this conclusion to hold, it must be assumed that the customers who stopped buying snacks at Quick Stop are now buying them from Healthy Harvest.
❌ Option A is not a necessary assumption; the argument specifically focuses on snack food revenue, not Quick Stop's overall financial health.
❌ Option C, while a common flaw to consider, is too broad to be the *most critical* unstated assumption directly linking the two stores. The argument specifically attributes the decline to Healthy Harvest, necessitating a direct link between their offerings and customer behavior, rather than simply ruling out all other factors.
❌ Option D, while a potential reason for a shift in sales, is not a necessary assumption; customers might switch for reasons other than price, such as perceived health benefits, variety, or quality, which are encompassed by option B's "appealing."
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"Our new 'Everlast' paint offers superior durability. In tests, a single coat of Everlast applied to 50 wooden fence panels endured simulated harsh weather conditions for two years without chipping or fading. This proves Everlast is the most resilient paint available for any exterior surface."
✅ The argument observes the paint's performance on 50 wooden fence panels under simulated harsh weather for two years and then broadly concludes it is the "most resilient paint available for any exterior surface."
This is a flaw of hasty generalization, where specific evidence is used to support a far wider claim than the evidence actually justifies.
❌ Option A is incorrect because the argument uses specific test results, which are presented as factual evidence, not an emotional appeal.
❌ Option B is incorrect; the term "new" is incidental and doesn't constitute a logical flaw in the argument's structure or conclusion.
❌ Option D describes a lack of detail that might weaken the argument's persuasiveness, but it is not the primary logical flaw of drawing an overly broad conclusion from limited premises.
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