Introduction
Many statements compare two items or recommend one option over another (for example, “Online learning is better than classroom learning”). Such comparison/recommendation statements rest on unstated assumptions about the criteria being used, the context, and the measurability of the difference.
This pattern is important because tests often hide the comparison’s basis - you must uncover what the speaker implicitly believes when they prefer A over B.
Pattern: Comparison / Recommendation Assumptions
Pattern
The key idea is: a comparison or recommendation assumes (a) the two items are comparable on relevant criteria, and (b) the recommended item is superior along the stated or implied criteria.
Common hidden beliefs include assumptions about measurability, context (who/when/where), and that no critical counter-factor outweighs the recommended advantage.
Step-by-Step Example
Question
Statement: “Online education is better than offline education.”
Which of the following assumptions is/are implicit?
A. Both modes can be compared on common learning outcomes.
B. Online education provides measurable advantages in flexibility or access.
C. All students have reliable internet access.
D. A and B only.
Solution
-
Step 1: Identify the comparison
The statement favours online over offline - so it assumes that a meaningful comparison is possible (common criteria exist). -
Step 2: Check the implied superiority
It implies online has advantages (e.g., flexibility, reach) that make it “better” for the intended purpose; that belief aligns with option B. -
Step 3: Eliminate extremes
Option C asserts universal internet access - that is an extra, specific condition not required by the general claim (the claim can hold for many cases without universal access). -
Final Answer:
A and B only → Option D -
Quick Check:
Ask: “Can we compare outcomes and does online offer clear benefits (e.g., flexibility)?” If yes, A & B are implicit ✅
Quick Variations
1. Context-specific comparison: “Smartphones are better for learning than feature phones” → assumes learners use apps and content relevant to learning.
2. Recommendation for audience: “Vegetarian diets are healthier for older adults” → assumes the criteria (health markers) are measured and applicable to older adults.
3. Performance-based comparison: “Brand A is better than Brand B for battery life” → assumes battery life was measured under comparable conditions.
4. Cost-benefit recommendation: “Buy the annual plan rather than monthly” → assumes usage frequency justifies the annual cost.
Trick to Always Use
- Step 1 → Ask: On what criteria is this comparison being made? (outcome, cost, time, quality, accessibility)
- Step 2 → Verify: the speaker assumes the two items are comparable on those criteria (common metric).
- Step 3 → Check for hidden context conditions (audience, resources) - include only if the statement requires them.
Summary
Summary
- Assume comparison statements rely on common, relevant criteria that make A and B comparable.
- Assume the recommended option is believed to be superior on the stated or implied criteria.
- Do not assume extreme or universal conditions (e.g., everyone has access) unless the statement explicitly requires them.
- Always test whether removing the implied criterion collapses the comparison - if it does, that criterion is implicit.
Example to remember:
Statement: “Hybrid classes are better than fully online classes.” → Implicit: hybrid mode combines benefits (e.g., some face-to-face interaction + online flexibility) and these benefits are comparable and relevant to learning outcomes.
