Correlation vs Causation Examples | CLAT Logical Reasoning

📑 On this page

⚡ The short answer

Correlation: two things move together. Causation: one makes the other happen. CLAT arguments leap from the first to the second constantly. Draw A → B, then test four rival stories: a third factor, a reverse cause, another cause, or coincidence. Weaken by naming one; strengthen by ruling one out.

🎬 The 30-second story

The Pro-badge leaderboard

“All ten on the weekly leaderboard have the Pro badge. Pro makes toppers.”

📱

Aarav

Aarav screenshots his coaching app's rankings.

“Who pays ₹2,999 for Pro in October? People already grinding six hours a day.”

🖍️

Zoya

Zoya's red pen: serious students choose Pro.

“Pro also unlocks 40 extra mocks.”

📊

Meher

Meher: maybe it's the practice, not the badge.

“So if I buy Pro and still sleep till noon…”

💸

Aarav

Back in the wallet.

Tara's verdict: Ten toppers with Pro is a correlation. Before calling it a cause, rule out the third factor (serious students buy Pro and score high), the reverse arrow (high scorers upgrade) and coincidence (one week, ten people).

How does CLAT word cause-and-effect arguments?

CLAT buries the causal leap in an opinion passage, then asks about it like this.

Stem in the paper	What it really asks	First move
“Which, if true, would most weaken the author's argument about why travel and fuel consumption in the US reduced?” (2023)	Find a rival cause.	Circle the author's cause; hunt for another.
“Cases reduced because of / despite / with…: which is true?” (2021)	Cause, or only sequence?	Read the connector first.
“Strengthens the argument that the decline preceded the pandemic” (2021)	Timing.	Pick the fact dated before the cause.
“Which cannot be inferred… attributable to…?” (2021)	Which cause does the author credit?	List the accepted causes.

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What is the difference between correlation and causation?

Correlation is an observation: when A shows up, B tends to as well. Causation is a claim about the machinery: A makes B happen. The first is usually a premise. The second is the author's interpretation, and that's where CLAT attacks.

⚔️ Side by side

What the data says vs what the author says

👯Correlation

A and B move together

•Seen in a survey, graph or leaderboard

⚙️Causation

A makes B happen

•Needs a mechanism and the right timing

Test	Correlation	Causation
Can an option deny it?	No: it's a premise	Yes: it's the target
Your question	Is it true?	Is it the only story?

Premises are granted; the leap is not.

🔗 Cause check

Every causal claim has four rival stories

Claimed cause

Buying the Pro plan

⟶

causes?

Observed effect

A top-10 mock rank

Before you buy the link, rule these out

🕵️ Third factor (causes both)

Serious students buy Pro and study six hours a day

↙ ↘ drives both · weakens the claim

↩️ Reverse cause

High rankers upgrade to keep their streak

maybe the effect caused the 'cause' · weakens the claim

🔀 Another cause

The extra mocks, not the badge, build the score

could produce the effect alone · weakens the claim

🎲 Pure coincidence

Ten toppers in one week is a tiny sample

together by chance · weakens the claim

⚙️ The missing link

Pro's analytics showed students which question types to fix

how the cause actually works · strengthens the claim

Weakeners add a red card; strengtheners remove one.

How do you test a causal claim in four steps?

1
Draw the arrow
Find the causal word (because, due to, led to, attributable to) and write A → B in the margin.
2
Run the four suspects
Third factor behind both? B causing A? Another cause at the same time? Coincidence?
3
Point the stem
Weaken: the option that creates a suspect. Strengthen: the option that removes one, or adds a mechanism, timing or a control group.
4
Confirm the link
It must touch this A and this B. An option saying B never happened attacks a premise and is wrong.

📌 Twenty seconds left? Ask one question

What else could explain B? It catches the third factor and the rival cause in one sweep.

What are the four ways a 'cause' can be fake?

🧩 At a glance

The four suspects

🕵️Third factor

C drives both. More coaching centres, more NLU selections: both track population.

↩️Reverse cause

B causes A. Homes with air purifiers have more asthmatic children, because asthma is why they bought one.

🔀Another cause

D causes B; A is a bystander. US fuel use fell in summer: prices, or a lockdown?

🎲Coincidence

Too few cases to rule out chance: India won three matches Aarav watched from the left end of the sofa.

The third factor: who's pulling both strings?

A confounder causes both, so they move together without touching. Big cities have more aspirants, so more coaching centres and more NLU selections. Compare per-head rates and many confounders vanish.

Reverse cause: is the arrow pointing the wrong way?

A study finds meditation-app users report more stress. The app isn't stressing them; stressed people download meditation apps. In options, reverse cause reads: those who already had B chose A.

⚠️ Timing kills or confirms reverse cause

If A clearly came before B, a reverse-cause option won't weaken. If B was already happening before A, the author's arrow is in trouble.

Another cause: same effect, different culprit

Find a second cause that explains the effect as well. The lethal rival is specific to the same time and place: not 'many things affect fuel use' but 'a strict lockdown was imposed that summer'.

Which words smuggle in causation?

🎚️ The scale

How strong is the causal claim?

← Only togetherFull cause →

Together

“Cases fell as India opened up”

e.g. No cause claimed

After

“After the ban, results improved”

e.g. Sequence, not proof

Linked

“Scrolling is linked to poor sleep”

e.g. Correlation in a suit

Because

“People travelled less because prices rose”

e.g. Full claim: attack here

What makes a causal claim stronger?

Strengthen by…	Option in the Pro story	Kills
Same study hours	Pro and non-Pro students studied equally	Third factor
Fixing the order	Ranks were recorded before students bought Pro	Reverse arrow
Control group	Equal-hours students without Pro ranked lower	Another cause
Dose–response	More Pro features used, bigger jump	Coincidence
Mechanism	Analytics flagged weak areas the students then fixed	'How?' doubt

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Can you break these causal claims? Worked examples

✍️ Worked example Warm-up ⏱ 30 sec

The energy drink and the mock scores

Since the hostel canteen began selling an energy drink in August, the hostel's average mock score has risen 12%. Aarav says the drink boosts scores. Which most weakens him?
(A) The drink has 80 mg of caffeine.
(B) The coaching centre began weekly doubt sessions for hostel students in August.
(C) Some students dislike the taste.
(D) It costs ₹60 a can.

1
Draw: drink → higher scores, both from August.
2
Suspects: B is a rival cause: same month, same students.
3
Point: A hints at a mechanism; C and D are about the drink, not scores.

Answer: (B): a rival cause in the same window

⚡ The exam-hall shortcut

A new event in the same window with a plausible effect is your weakener.

✍️ Worked example CLAT level ⏱ 45 sec

The compulsory silent zone

Students who use the library's silent zone score 15 marks more in mocks. The principal plans to make it compulsory to raise scores. Which most weakens the plan?
(A) The zone has only 60 seats.
(B) Students already scoring well chose the zone to study longer.
(C) Zone users drink less tea.
(D) A few students find silence distracting.

1
Draw: silent zone → higher scores. The plan assumes forcing A brings B.
2
Suspects: B is reverse cause by self-selection. Forcing others in won't copy the toppers' habits.
3
Point: A is a practical hurdle; D covers 'a few'; C is irrelevant.

Answer: (B): the scores chose the zone, not the other way round

⚡ The exam-hall shortcut

When people chose A, ask who chooses A.

✍️ Worked example CLAT level ⏱ 90 sec

The phone-ban passage

In June 2024 a state banned phones in all government schools, promising that attention would 'come back to the classroom'. In the 2025 Class 12 boards, its pass rate rose from 78% to 86%, the biggest jump in a decade. The minister says this settles it: removing phones made students learn more, and every state should copy the ban. Parents say children talk again at lunch.

Which, if true, would most weaken the minister's conclusion? (Options below.)

1
Draw: phone ban (2024) → pass rate 78% to 86% (2025).
2
Suspects: did the exam itself change in 2025? Did every state improve?
3
Point: weaken, so pick the option creating a suspect tied to the 2025 results.
4
Confirm: it must touch the pass-rate jump, not the ban's popularity.

Answer: (C): an easier exam, and the same jump in states with no ban

⚡ The exam-hall shortcut

Before-and-after with nothing held still. The killer shows another reason for the 'after', or that places without the ban improved too.

🔬 Option autopsy

Option autopsy: the phone-ban passage

Which of the following, if true, would most weaken the minister's conclusion?

A Parents' groups report that children talk more at lunch since the ban. Tag it

🙈 True but irrelevant

About lunchtime chat, not exam learning.

B Several teachers opposed the ban when it was first introduced. Tag it

🛸 Out of scope

Opinions about the ban say nothing about why results rose.

C In 2025 the board cut the syllabus by 30% and added grace marks, and pass rates rose similarly in neighbouring states with no phone ban. Tag it

✅ Correct

A rival cause in the same year plus a control group. The ban becomes a bystander.

D Schools that enforced the ban strictly improved more than schools that enforced it loosely. Tag it

🔄 Opposite direction

Dose–response: more ban, more improvement. It strengthens: the planted opposite.

🙈 True but irrelevant🛸 Out of scope✅ Correct🔄 Opposite direction

Guess the trap behind each option, then tap to check. Wrong options fail in a handful of predictable ways.

How has CLAT asked correlation vs causation?

📝 Asked in CLAT 2023 · Q121 Rival cause weakens

…ordinary people in these countries are worried, not just because of climate change but because of the lack of energy to heat their homes this coming winter. In the US, gas prices went up in summer, so much so that people travelled less and consumption of fuel dropped. But now prices are down and it is business as usual…

Which of the following, if true, would most weaken the author's argument about why travel and fuel consumption in the US reduced in summer?

APeople like to travel regardless of season, and the only thing that would prevent them from travelling at any time of the year would be high costs.

BAirlines raised ticket prices as a response to increase in fuel prices, and therefore, fewer people were able to buy air tickets to travel.

CStrict lockdowns were imposed in the US in summer, because of which people travelled less; further, temperatures were moderate, and this meant people had to use less fuel to heat or warm their homes.

DWidespread geopolitical tensions in the first half of the year meant that fuel prices were at an all-time high in summer; but prices have now eased off somewhat, making fuel slightly more affordable in the US.

Reveal answer + reasoning

Answer: C

The author's arrow: high gas prices → less travel and fuel use. A weakener needs a rival cause for the same drop. C gives two: strict lockdowns kept people home, and moderate temperatures cut fuel use. Answer C.

Why the others fail

A — Only high costs stop travel: that supports the price story.
B — Pricier tickets due to fuel prices is still the price story. It strengthens.
D — Explains why prices were high. It accepts the author's cause.

Also asked: CLAT 2021 Q128 offered four 'X is attributable to Y' statements and asked which could not be inferred. The passage credits the lockdown; it shows migrants walking home only as fallout. 'Unemployment is attributable to migration' was the stranger. Answer C.

📝 Asked in CLAT 2021 · Q135 'Despite' is not 'because'

…It may be hard for people to accept this reality but almost all evidence points to the fact India has flattened the corona curve, while the US, UK and most of Europe still haven't. What is even more remarkable about India's achievement is that it has managed to do this without draconian lockdowns (apart from the two months in April-May 2020). In fact, cases have dropped even as India opened up more.

According to the given passage, which of the following statements is true?

ACOVID-19 cases in India have reduced because of reduction in restrictions.

BCOVID-19 cases in India have increased with reduction in restrictions.

CCOVID-19 cases in India have reduced with increase in restrictions.

DCOVID-19 cases in India have reduced despite the reduction in restrictions.

Reveal answer + reasoning

Answer: D

Restrictions fell and cases fell. Does the author say reopening caused the fall? No: 'even more remarkable' and 'even as' mean it happened in spite of reopening. A turns a sequence into a cause, the leap this page is about. Answer D.

Why the others fail

A — Turns 'even as' into 'because of'.
B — Cases dropped, not rose.
C — Restrictions were relaxed, not increased.

Which correlation myths cost you marks?

💥 Myth vs fact

Traps students fall for

🙅 Myth

To weaken a causal claim, show the effect didn't happen.

Tap to bust it →

✅ Fact

The effect is a granted premise. Weaken the leap: a rival cause or a flipped arrow.

🙅 Myth

Any option naming another factor is a weakener.

Tap to bust it →

✅ Fact

It must plausibly produce the same effect, in the same time and place. 'Many things affect scores' won't hurt.

🙅 Myth

'After' means 'because'.

Tap to bust it →

✅ Fact

A cause comes first, but coming first proves nothing alone. Lots happened after June 2024; the minister chose to credit the ban.

🎯 Quick quiz

Five causal claims to break

0 / 5

A food-delivery app found that customers using its new 'healthy picks' filter ordered 20% fewer desserts than other customers over three months. Its marketing head says the filter is 'changing how India eats' and wants ₹5 crore to push it to every user. The data team notes the filter was opt-in: customers had to switch it on, and only 4% did.

Q1. Which best explains why the data may not support the marketing head's claim?

Q2. 'After the metro opened, property prices near its stations doubled.' Which word shows only a sequence?

Q3. Countries that eat more chocolate per head win more Nobel prizes per head. What is the most likely third factor?

A city painted bright zebra crossings at 40 junctions in January. By December, pedestrian accidents there had fallen by a third. The traffic commissioner credits the paint and wants it at all 400 junctions in the city next year. That same year, the city had also installed speed cameras at most of those 40 junctions and doubled speeding fines citywide.

Q4. Which, if true, would most strengthen the commissioner's claim?

Q5. 'Flashcard-app users score higher in vocabulary tests, so flashcards build vocabulary.' Which is a reverse-cause weakener?

🎯 Correlation vs causation in a nutshell

Together is not because. Draw A → B first.
Four suspects: third factor, reverse cause, another cause, coincidence.
Weaken by creating a suspect; strengthen by removing one.
The best rival cause shares the effect's time and place.

📎 Cheat sheet

“most weaken… why X happened” → rival cause → another event, same time and place.
“strengthen… A caused B” → remove a suspect → control group, timing, dose.
“attributable to… cannot be inferred” → credited causes → pick the stranger.
“because / despite / with” → connector check → match the exact word.
Opt-in or volunteer groups → self-selection → ask who chooses A.

Frequently asked questions

What is the difference between correlation and causation in simple words?

Correlation means two things happen together, like coaching centres and NLU selections in a district. Causation means one produces the other. CLAT passages state the correlation as fact and quietly assume the causation. That assumption is the gap you attack or repair.

How do you weaken a correlation vs causation argument in CLAT?

Draw the author's arrow, then pick the option offering a rival story: a third factor, a reverse arrow, another cause at the same time and place, or a sample too small to rule out chance. Never pick an option that denies the stated facts.

How do you strengthen a causal argument?

Shut the doors on rival stories. Show the third factor was equal in both groups, the cause came first, the effect is missing where the cause is missing, or how the cause works. These options look dull, which is why students skip them.

Does 'despite' mean the same as 'because' in CLAT passages?

No, and CLAT tested it in 2021. 'Cases fell despite fewer restrictions' means the author thinks reopening did not cause the fall. 'Because of' claims the opposite. Read connector words in the passage and options as carefully as the content.