CAT inference report V2

CAT Evidence-Backed Inference Report

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

Open PYQs

Insights

10

Each has examples, recurrence, risk and action

Linked Examples

279

Public mock/question links where available

RC Sources

48

48 remain unknown/domain-only

DILR Sets

54

All with first-scan recommendation

Quant Rows

272

All with concept family and 99%iler decision

Executive evidence

Evidence-backed inference blocks

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.

DILRMEDIUM confidenceMEDIUM risk

Visual type determines ROI more than story dressing

Tables, grids, and charts usually reveal the representation faster than pure conditional prose.

Recurrence: mixed (14), chart (11), table (7), no visual (6), graph (1) are the main visual categories.

cat-2025-slot-1 Q14 · 2025 Slot 1 · DILR

Question Numbers (14 to 17): Five countries engage in trade with each other. Each country levies import tariffs on the other countries. The import ta...

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

Takeaway: Scan for the representation before committing.

cat-2025-slot-1 Q15 · 2025 Slot 1 · DILR

Question Numbers (14 to 17): Five countries engage in trade with each other. Each country levies import tariffs on the other countries. The import ta...

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

Takeaway: Scan for the representation before committing.

Prioritise sets with explicit data structure when accuracy is stable; push dense conditional prose to second pass.

High ROI

Concepts and section areas with evidence

VARC: Reading Comprehension146
QUANT: Arithmetic104
DILR: Venn/Set Theory103
VARC: Verbal Ability72
QUANT: Algebra37
DILR: Scheduling35
QUANT: Geometry33
QUANT: Number System27
DILR: Games/Tournament19
DILR: Distribution18

Trap pressure

Most frequent traps

QUANT: Equation translation87
VARC: Half True87
DILR: Constraint misread78
VARC: Extreme65
DILR: Boundary case62
QUANT: Wrong base42
VARC: Opposite39
QUANT: Integer feasibility38