CAT inference report V2

Traps

Deep CAT 2020-2025 inference with compact evidence snippets, linked examples, recurrence patterns, source reasoning, and decision playbooks.

Open PYQs

Trap evidence

Claims backed by examples

VARCMEDIUM confidenceMEDIUM risk

CAT prefers abstract non-news prose

The recurring RC pool leans toward abstract, analytical, culture/science/economics prose rather than current-affairs recall.

Recurrence: 36 public RC passages mapped; dominant domains include Sociology, Philosophy, Economics.

cat-2020-slot-1 Q1 · 2020 Slot 1 · VARC

“- Solutions Q1. Which one of the following best expresses the similarity between American individualist anarchists and free-market liberals as well a...”

Why it matters: The passage/question wording shows how CAT tests inference and option discipline.

Takeaway: Read for structure and eliminate scope shifts.

cat-2020-slot-1 Q2 · 2020 Slot 1 · VARC

“- Solutions Q1. Which one of the following best expresses the similarity between American individualist anarchists and free-market liberals as well a...”

Why it matters: The passage/question wording shows how CAT tests inference and option discipline.

Takeaway: Read for structure and eliminate scope shifts.

Practise essays, social theory, science explainers, and dense argumentative non-fiction; do not prepare RC as GK.

VARCHIGH confidenceHIGH risk

RC is inference-heavy, not fact-recall-heavy

Question types repeatedly ask for implication, function, main point, and elimination rather than bare line lookup.

Recurrence: Inference (85), Specific Detail (42), Para Summary (24), Para Jumble (18), Sentence Placement (16) are the largest VARC families.

cat-2020-slot-1 Q1 · 2020 Slot 1 · VARC

“- Solutions Q1. Which one of the following best expresses the similarity between American individualist anarchists and free-market liberals as well a...”

Why it matters: The passage/question wording shows how CAT tests inference and option discipline.

Takeaway: Read for structure and eliminate scope shifts.

cat-2020-slot-1 Q2 · 2020 Slot 1 · VARC

“- Solutions Q1. Which one of the following best expresses the similarity between American individualist anarchists and free-market liberals as well a...”

Why it matters: The passage/question wording shows how CAT tests inference and option discipline.

Takeaway: Read for structure and eliminate scope shifts.

After reading each paragraph, name its function; then answer with passage support, not outside plausibility.

VARCHIGH confidenceHIGH risk

Options punish keyword matching

Attractive options often borrow passage vocabulary but distort scope, force, or logical direction.

Recurrence: Half True (87), Extreme (65), Opposite (39), Keyword Match (13) recur across public VARC.

cat-2020-slot-1 Q1 · 2020 Slot 1 · VARC

“- Solutions Q1. Which one of the following best expresses the similarity between American individualist anarchists and free-market liberals as well a...”

Why it matters: The passage/question wording shows how CAT tests inference and option discipline.

Takeaway: Read for structure and eliminate scope shifts.

cat-2020-slot-1 Q2 · 2020 Slot 1 · VARC

“- Solutions Q1. Which one of the following best expresses the similarity between American individualist anarchists and free-market liberals as well a...”

Why it matters: The passage/question wording shows how CAT tests inference and option discipline.

Takeaway: Read for structure and eliminate scope shifts.

Underline the claim made by each option; reject options that merely sound passage-like.

DILRHIGH confidenceHIGH risk

Set selection beats topic familiarity

The first useful signal is not the story topic; it is whether the set yields a table, grid, ordering, or calculable frame quickly.

Recurrence: 41 public DILR sets carry selection recommendations; AVOID_FIRST_PASS (19), ONLY_IF_STRONG (14), ATTEMPT_AFTER_SCAN (8).

cat-2021-slot-1 Q5 · 2021 Slot 1 · DILR

“Set Information Seven people - Amudha, Bharatan, Chandran, Dhinesh, Ezhil, Fani and Gowtham - can be pairwise friends, acquaintances, or strangers. R...”

Why it matters: The set wording reveals the representation and time-sink risk before solving.

Takeaway: Scan for the representation before committing.

cat-2021-slot-1 Q6 · 2021 Slot 1 · DILR

“Set Information Seven people - Amudha, Bharatan, Chandran, Dhinesh, Ezhil, Fani and Gowtham - can be pairwise friends, acquaintances, or strangers. R...”

Why it matters: The set wording reveals the representation and time-sink risk before solving.

Takeaway: Scan for the representation before committing.

Spend the first scan locating the representation and entry clue, not solving the first visible question.

DILRHIGH confidenceHIGH risk

Some easy-looking sets become time sinks

State transitions, tie-breakers, and boundary conditions can hide multiple unresolved cases behind friendly story wording.

Recurrence: high risk (33), medium risk (8) appears in public DILR set metadata.

cat-2020-slot-1 Q1 · 2020 Slot 1 · DILR

“Caselet. Five cab drivers - Arun, Barun, Chandan, Damodaran and Eman - are rated on five parameters P1 to P5. Ratings are integers from 1 to 5. Final...”

Why it matters: The set wording reveals the representation and time-sink risk before solving.

Takeaway: Scan for the representation before committing.

cat-2020-slot-1 Q2 · 2020 Slot 1 · DILR

“Caselet. Five cab drivers - Arun, Barun, Chandan, Damodaran and Eman - are rated on five parameters P1 to P5. Ratings are integers from 1 to 5. Final...”

Why it matters: The set wording reveals the representation and time-sink risk before solving.

Takeaway: Scan for the representation before committing.

Leave a set if the representation is still unstable after 3-5 minutes or cases multiply without payoff.

Atlas

Section-wise trap atlas

Section	Trap	Frequency	Severity	How CAT disguises it	Avoid strategy
VARC	Half True	114	High	Attractive wording stays close to the passage but shifts scope or force.	Anchor each option to passage function and eliminate scope shifts.
QUANT	Equation translation	112	High	A familiar formula setup is paired with a boundary, base, or integrality condition.	State the constraint before solving and verify units/base/integer feasibility.
VARC	Extreme	89	High	Attractive wording stays close to the passage but shifts scope or force.	Anchor each option to passage function and eliminate scope shifts.
DILR	Constraint misread	86	High	The surface story hides a state change, boundary case, or missing condition.	Write the representation before calculating and mark unresolved variables.
DILR	Boundary case	80	High	The surface story hides a state change, boundary case, or missing condition.	Write the representation before calculating and mark unresolved variables.
QUANT	Wrong base	58	High	A familiar formula setup is paired with a boundary, base, or integrality condition.	State the constraint before solving and verify units/base/integer feasibility.
DILR	Tie-breaker oversight	56	High	The surface story hides a state change, boundary case, or missing condition.	Write the representation before calculating and mark unresolved variables.
VARC	Opposite	50	High	Attractive wording stays close to the passage but shifts scope or force.	Anchor each option to passage function and eliminate scope shifts.
QUANT	Integer feasibility	49	High	A familiar formula setup is paired with a boundary, base, or integrality condition.	State the constraint before solving and verify units/base/integer feasibility.
QUANT	Boundary condition	41	High	A familiar formula setup is paired with a boundary, base, or integrality condition.	State the constraint before solving and verify units/base/integer feasibility.
DILR	State-transition drift	34	High	The surface story hides a state change, boundary case, or missing condition.	Write the representation before calculating and mark unresolved variables.
VARC	Keyword Match	20	High	Attractive wording stays close to the passage but shifts scope or force.	Anchor each option to passage function and eliminate scope shifts.
VARC	Outside Scope	13	Medium	Attractive wording stays close to the passage but shifts scope or force.	Anchor each option to passage function and eliminate scope shifts.
QUANT	Domain reversal	10	Medium	A familiar formula setup is paired with a boundary, base, or integrality condition.	State the constraint before solving and verify units/base/integer feasibility.
VARC	Too Broad	6	Medium	Attractive wording stays close to the passage but shifts scope or force.	Anchor each option to passage function and eliminate scope shifts.
QUANT	Unit/rate mismatch	2	Medium	A familiar formula setup is paired with a boundary, base, or integrality condition.	State the constraint before solving and verify units/base/integer feasibility.