The Formal Quantifier Hierarchy & Boundary Conditions
Decision Making is the second cognitive subtest of the UCAT, challenging applicants with 29 questions in 31 minutes, granting an average pacing budget of 64s per item. The single most heavily weighted question type is the 5-statement syllogism, awarding up to 2 marks per item. Mastering syllogisms requires discarding conversational assumptions and enforcing the strict mathematical definitions of formal quantifiers.
In colloquial speech, people treat statements casually. In formal deductive logic, each quantifier represents an exact mathematical set relationship:
- All (100%): Universal affirmative. Every single member of set A is inside set B ($A \subseteq B$). Zero exceptions exist.
- Most (>50%): Strict majority. Strictly greater than half. Mathematically, it covers the range from 50.01% to 100%. It guarantees at least half plus one in discrete populations.
- Some (At least one): Non-empty intersection. Formally defined as at least one, covering the range from 1 member up to 100%. In formal truth testing, "some" asserts strictly that the intersection is not empty.
- Few (<50%): Small proportion. Strictly less than half, but greater than zero.
- None (0%): Universal negative. Complete mutual exclusivity. The intersection of set A and set B is empty ($A \cap B = \emptyset$).
The Fundamental Quantifier Boundary Law
- "Some" does NOT imply "Some do not": If a premise states "Some surgeons play the violin", you cannot conclude "Some surgeons do not play the violin". It is logically possible that all surgeons play the violin!
- "Most" does NOT imply "Not all": If a premise states "Most medical students pass anatomy", you cannot deduce that any student failed. "Most" sets a lower boundary at 50%, not an upper ceiling below 100%.
- "All" entails "Some" and "Most": If every hospital has an intensive care unit, it is deductively True that at least one hospital has an ICU, and Most hospitals have an ICU.
