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How does CLAT ask about weak evidence?
CLAT rarely says ‘generalisation’. It asks which claim lacks evidence, or what weakens or strengthens a big claim on thin data.
| Stem you will see | What it really asks | First move |
|---|---|---|
| “…statements by the author lack credible evidence in the passage?” (2025) | Which claim has nothing behind it? | Tag each: study, data or nothing. |
| “…weakens the author's argument that India has tackled the COVID-19 pandemic better…?” (2021) | Is the data fair? | Who do the numbers miss? |
| “…would most strengthen the main argument…?” (2023) | Make thin evidence broad. | Look for ‘several’, ‘independent’. |
| “…most vulnerable to the criticism that…” (standard form) | Describe the gap. | Too few? Hand-picked? Wrong group? |
What is a hasty generalisation, really?
A generalisation moves from some cases to a whole group. All science does it. It turns hasty when the cases are too few, skewed by how they were picked, or from another group.
- −The toppers were chosen for topping, not for when they wokeWeakens · hits the gap — hand-picked
- −Thousands of 4 a.m. risers didn't qualifyWeakens · hits the gap — the missing counter-cases
- +A 20,000-aspirant study in 12 cities found early risers scored higher, study hours held equalStrengthens · hits the gap — broad, fair
- ∅One topper drinks black coffeeNo effect · hits the premise 1 — a detail, not evidence
Every option lands on the leap from three cases to ‘every aspirant’.
How do you test whether the evidence is enough?
- 1
Circle the claim's reachFind the quantifier and the group: all, should, always; the youth.
- 2
Classify the evidenceHow many cases, picked how? A story, a study, data, or nothing?
- 3
Ask the fit questionCould all the evidence be true and the claim false? How: too few, hand-picked, wrong group, none?
- 4
Match the stemFlaw: describe the gap. Weaken: a counter-case or skew. Strengthen: breadth.
Which kinds of weak evidence does CLAT plant?
How is ‘no evidence’ different from ‘weak evidence’?
- •Three toppers → everyone
- •A festival line-up → all founders
- •Undercounted tests → ‘we beat the virus’
- •Claim stated, no source
- •Slipped between sourced claims
- •Asked as ‘lacks credible evidence’
| Test | Weak evidence | No evidence |
|---|---|---|
| The fix | More, fairer, wider, independent cases | Any real support |
Worked examples: does the evidence reach the claim?
A. judges all the mess's food from three servings of one dish.
B. attacks the cook instead of the food.
C. confuses cause and effect.
D. relies on an expert with no expertise.
- 1Reach: every dish. Evidence: three paneers. The dal could be fresh. Gap: too few, one dish: A. B, C and D never happen here.
A. Short sleep is linked to lower maths scores.
B. Two studies found the link.
C. Reels are the main reason teens sleep less.
D. Later starts raised sleep.
- 1Classify: A has the survey, B the second study, D the third. C has only the word ‘clearly’, doing the job evidence should do.
For this columnist the lesson is plain. College teaches obedience; business rewards rule-breakers. Every student with a business idea should drop out and start now. Some will call these exceptions, but exceptions do not fill a main stage.
The argument is most vulnerable to the criticism that it:
A. makes a rule for every student from famous successes and a line-up chosen for success, ignoring dropouts who failed.
B. contradicts itself about college.
C. rejects degrees because most people hold one.
D. relies on founders' own accounts of their education.
- 1Reach: ‘every student… should’. Evidence: three famous successes and 50 founders picked to pitch.
- 2Fit: all true, yet dropping out could still be a bad bet: failed founders don't pitch at festivals. Gap: hand-picked, so A. B and C never happen; D is a side worry.
How has CLAT asked weak-evidence questions?
Which of the following statements by the author lack credible evidence in the passage?
Reveal answer + reasoning
- A — Backed by ‘previous studies’ and data.
- B — Backed by data on early access.
- D — Backed by the large database and ‘recent data’.
Which of the following, if true, would most strengthen the main argument in the passage?
Reveal answer + reasoning
Which, if true, would most strengthen the main argument?
A Independent studies: women perceived positively as they age. Tag it
B Independent studies in different countries: women perceived negatively as they age. Tag it
C The studies have been discredited. Tag it
D The samples were too small to generalise from. Tag it
Guess the trap behind each option, then tap to check. Wrong options fail in a handful of predictable ways.
Which of the following weakens the author's argument that India has tackled the COVID-19 pandemic better than most advanced nations?
Reveal answer + reasoning
- A — The author's own point against fudged data. Supports the argument.
- C — Restates the conclusion.
- D — Another point in India's favour.
🙅 Myth
Every argument from examples is hasty.
Tap to bust it →
🙅 Myth
A big number makes evidence strong.
Tap to bust it →
🙅 Myth
A claim backed by a study can't be hasty.
Tap to bust it →
Can you spot thin evidence? Quick quiz
Q1. Which most weakens Rohan?
Broad data swamps two anecdotes.Q2. Which best describes the weakness in her reasoning?
Too few, one area, hand-picked.Q3. Which most strengthens this?
More, wider, independent evidence.Q4. Which claim lacks credible evidence in the report?
A, B and D each cite stations, hospitals or a study. C is asserted.Q5. Meher's reasoning is flawed because it:
One survivor can't overturn data on millions.- Ask one thing: does the evidence reach as far as the claim?
- Hasty = too few cases, hand-picked cases, or the wrong group.
- Weaken with a counter-case or skew; strengthen with more, fairer, wider, independent evidence.
- ‘Lacks credible evidence’ = nothing offered. ‘Linked to’ is weak, not none.
- ‘lacks credible evidence’ → evidence audit → tag each claim: study, data or nothing.
- ‘vulnerable to the criticism’ + examples → hasty generalisation → too few, hand-picked, wrong group.
- ‘weakens’ + a few cases → who never made it into the evidence?
- ‘strengthens’ + one study → widen it → ‘several’, ‘independent’.
- ‘all’, ‘every’, ‘should’ → reach alarm → demand matching evidence.
Frequently asked questions
What is a hasty generalisation? Give an example.
How do CLAT questions test weak evidence?
How is hasty generalisation different from correlation versus causation?
How do you answer ‘which statement lacks credible evidence’ questions?
Keep going
Connected topics in other chapters
Every topic in Critical Reasoning & Flaws
- 1.Flaw Questions: Describe the Gap, Then Match
- 2.Ad Hominem, Straw Man, Red Herring and Appeals
- 3.Circular Reasoning, False Dilemma, Slippery Slope and Equivocation
- 4.Hasty Generalisation and Weak Evidence (you're here)
- 5.Course of Action and "Best Solution" Questions
- 6.Cause and Effect: Root Causes and Consequences
- 7.Decision-Making and Problem-Solving Caselets