Fact, Inference and Judgment: The 3-Way Split

Introduction

Every sentence we read makes a different kind of claim:

1. Fact: Something that is objectively true and can be verified.
2. Inference: A conclusion drawn from available facts — it goes beyond what's directly stated.
3. Judgment: A personal opinion, evaluation, or value-based assessment.

Example:

• "India won 7 gold medals at the 2024 Olympics." → Fact (verifiable)
• "India's performance suggests strong investment in sports infrastructure." → Inference (conclusion drawn)
• "India's Olympic performance was disappointing." → Judgment (opinion)

FIJ questions give you 3-5 statements and ask you to classify each one correctly.

Why This Topic Matters

FIJ appears in CAT VARC both as a standalone question type and embedded in RC. It tests reading precision — a skill needed for all VARC questions. Getting FIJ right requires understanding the exact nature of each statement type.

Basic Concepts

Fact

A statement that is:

• Objectively true or false (not based on opinion)
• Verifiable through evidence or direct observation
• Not a conclusion beyond what's stated

Signal words: "is," "was," "are," numbers and statistics, historical events.

Test: Can I verify this with a reference book or direct observation?

Inference

A statement that:

• Is derived from one or more facts
• Goes beyond the directly stated information
• Is a logical (but not certain) conclusion
• Could be right or wrong — but is reasonable from the evidence

Signal words: "suggests," "indicates," "implies," "therefore," "which means," "this shows."

Test: Is this a conclusion drawn from stated facts, going a step beyond them?

Judgment

A statement that:

• Expresses personal opinion, values, or evaluation
• Contains words like "good," "bad," "should," "ought," "must"
• Is neither purely factual nor a logical conclusion — it's a value call
• Different people with same facts could disagree

Signal words: "should," "ought to," "is bad/good," "unfortunately," "ideally," "disappointing," "excellent."

Test: Would a reasonable person with the same facts possibly disagree?

Detailed Explanation

Section 1 — The Three Tests (Quick Application)

Section 2 — Tricky Cases

Inferring from a fact but stated as if it's the fact:
"The temperature in Delhi was 45°C, indicating a severe heat wave."

• "Temperature 45°C" = Fact
• "indicating a severe heat wave" = Inference embedded in the statement
• Overall classification: Inference (the statement makes a conclusion).

Judgment disguised as fact:
"The government's decision was a mistake."

• Sounds declarative, but "mistake" is an evaluation.
• Judgment.

Fact about what someone said:
"The minister said the economy was growing."

• This is a fact ABOUT what was said, not a fact about the economy itself.
• Fact (we can verify the minister said this).

Section 3 — Worked Examples

Example 1:
"India's GDP grew by 6.5% in 2023, making it the world's fastest-growing major economy."

• "India's GDP grew by 6.5% in 2023" → Fact (verifiable).
• "making it the world's fastest-growing major economy" → This is a comparative claim that requires knowing other economies' rates. If that data is provided in context, it's a Fact. If it's inferred from the 6.5% alone without comparing, it's an Inference.

Lesson: Context matters. The statement must be evaluated based on what information is available.

Example 2:
"Students who practice CAT questions daily perform better in the actual exam."

This is a Judgment or an Inference — depending on whether research data supports it.

• If no study is cited: Inference (a logical but unverified conclusion).
• If framed as "daily practice is the only path to success": Judgment (value claim).

Example 3:
"The ancient trade route through the Silk Road connected China, Central Asia, and Rome."

Fact. This is a historical claim that can be verified.

Example 4:
"Given the declining literacy rates, the government's education policy has clearly failed."

• "Declining literacy rates" → Fact (if data exists).
• "has clearly failed" → Judgment (evaluating policy based on one metric).
• Overall: Judgment (the conclusion is value-laden).

Section 4 — CAT Approach (Classification Strategy)

Step 1: Read the entire statement.
Step 2: Find the main verb — what is the statement ultimately claiming?
Step 3: Apply the three tests:
- Is this verifiable without reasoning? → Fact
- Does this draw a logical conclusion from stated/known facts? → Inference
- Does this evaluate, prescribe, or express preference? → Judgment

Step 4: Watch for embedded inferences in otherwise factual statements.

Section 5 — Common CAT Traps

Trap 1: Statistics sound like Facts but contain Inferences.
"Sales grew by 20%, indicating strong consumer confidence."
→ First part is Fact. "Indicating" makes it an Inference overall.

Trap 2: Inference sounds like Judgment.
"With such poor infrastructure, the district will struggle to attract investment."
→ This is actually an Inference (logical prediction) not a Judgment (no explicit value word).

Trap 3: Judgment words hidden in neutral phrasing.
"Fortunately, rainfall was adequate this year."
→ "Fortunately" signals a value judgment → Judgment.

Important Terms

Quick Revision

• Fact: verifiable, objective, not a conclusion
• Inference: logical conclusion from facts, goes beyond stated info
• Judgment: opinion, value-based, uses "should/good/bad/unfortunately"
• Main test: Is the primary claim a fact, a conclusion from facts, or a value evaluation?
• Watch for "indicating," "suggesting," "therefore" → signals Inference
• Watch for "fortunately," "disappointingly," "should" → signals Judgment

Exam Tips

1. Focus on the main claim of the sentence, not a minor part.
2. Embedded signal words change classification: "indicating X" makes it an Inference.
3. If the sentence says what someone said or believed, it's a Fact about their statement.
4. Statistics alone are Facts. Statistics + conclusion = Inference.
5. If you'd argue over it (value disagreement), it's a Judgment.

Common Mistakes

❌ Calling every statistic-containing sentence a Fact (watch for conclusions attached to statistics).
❌ Calling logical conclusions Judgments just because they seem debatable.
❌ Missing the signal word "fortunately/unfortunately" that makes a fact a Judgment.

Practice Questions

Beginner Level

Classify each as Fact (F), Inference (I), or Judgment (J):

1. "Water boils at 100°C at sea level."
2. "Given the drought, the region will face food shortages."
3. "The government should invest more in renewable energy."
4. "The novel was published in 1984."
5. "The low voter turnout suggests political apathy among youth."

Intermediate Level

1. "The company's 40% revenue growth indicates a successful year, demonstrating the effectiveness of its new strategy."
2. "Fortunately, the patient recovered completely after surgery."
3. "India has the largest youth population in the world, which gives it a demographic advantage."
4. "Carbon emissions increased by 5% — this is an alarming trend that demands immediate government action."
5. "The research indicates that meditation reduces anxiety levels."

Advanced Level

1. "While financial inclusion has improved, the rural poor still lack access to formal credit — a problem that undermines India's growth narrative."
2. "The prime minister stated that the economy is on track, suggesting political optimism rather than economic reality."
3. "With AI adoption growing at 30% annually, human jobs in data entry will be largely eliminated by 2030."
4. "The study found that 70% of students improved with the new method, proving its superiority."
5. "Unfortunately, despite rapid urbanization, India's cities remain among the most polluted in the world, indicating poor policy implementation."

Summary

FIJ questions require classifying statements as Facts (verifiable), Inferences (logical conclusions from facts), or Judgments (value-based evaluations). Focus on the main claim of each sentence. Signal words help: "indicating/suggesting" = Inference; "should/unfortunately/disappointing" = Judgment. Watch for statistics with embedded conclusions (Inference, not Fact). Practice this classification daily — it sharpens reading precision across all VARC question types.

Related Topics

• [[Mastering RC: The Main Idea Strategy]](/notes/rc-main-idea-strategy)
• [[Critical Reasoning]](/notes/critical-reasoning-cat)
• [[Para Summary]](/notes/para-summary-cat)