Most Likely Outcome Questions | CLAT Logical Reasoning

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⚡ The short answer

Most likely outcome questions give you a cause-and-effect passage and change one input: “if X happens” or “if X were not true”. Find the passage's mechanism, run it forward on the new input, and pick the option with the right direction and a sensible size. The #1 trap: an all-or-nothing outcome when the passage gave several causes.

🎬 The 30-second story

The Wi-Fi switch

“Half my tables are laptop students. One coffee, three hours. Tomorrow, no Wi-Fi.”

📶

Kabir

Kabir has had enough.

“Bro, you'll be empty in a week. Shut by Diwali.”

💀

Aarav

Aarav predicts the apocalypse.

“Nothing will change. People come for your cold coffee!”

☕

Rohan

Rohan predicts nothing at all.

“The laptop crowd thins out. The coffee crowd stays. Tables turn faster.”

💻

Zoya

Zoya runs Kabir's own facts forward.

Tara's verdict: Kabir gave us the mechanism: laptop students come for the Wi-Fi. Cut that cause and that effect shrinks, for that group. Aarav's collapse ignores everyone else; Rohan's “no change” ignores the facts. The likely outcome keeps the direction and an honest size.

How does CLAT word “most likely outcome” questions?

Stem	Seen in	What it really asks
What would be the impact on X if Y were not the case?	2023 Q116	Remove one cause; the others remain.
Which is most likely true if the author's statements about X are true?	2023 Q124	Accept the claim; follow it one step.
Which is most likely to be an outcome of what the author describes as “…”?	2023 Q125	Name what the mechanism produces.
If X is the most important criterion for Y, what is the most likely outcome?	2023 Q126	Combine an added rule with the data.

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All four came in CLAT 2023. Expect them on any passage describing a process.

What is the passage's cause machine?

Every outcome passage hides a machine: input, mechanism, output. The question flips one switch. You need no economics, only this machine, as the author built it.

🔗 Cause check

Kabir's café, mapped

Claimed cause

Free Wi-Fi

⟶

draws

Observed effect

Laptop students fill the tables

Before you buy the link, rule these out

⚙️ The missing link

Students need a connection to study

switch off the Wi-Fi and this stops

🔀 Another cause

Cold coffee brings its own regulars

a separate cause: it survives the switch

No Wi-Fi stops the mechanism for the laptop crowd. The coffee crowd has its own cause.

🧮 The formula

When one effect has several causes

⚡

Faster digital news

📉

Advertisers cut back

🖼️

Image beats text

📰

Print loses readers and revenue

Take one term away and the total shrinks. It doesn't hit zero, and it doesn't flip. That picture solves CLAT 2023 Q116 below.

📌 Direction first, size second

Does the effect move the way the mechanism says (direction)? Is the change as big as the passage allows, no bigger (size)? Most wrong options fail one.

How do you predict the outcome in four steps?

1
Find the machine
Write the chain in the author's words: cause → mechanism → effect.
2
Flip the switch
What does the stem change: a cause removed, a rule added, a claim accepted?
3
Predict direction and size
Which way does the effect move, and how far? One of several causes gone means a smaller effect, not none.
4
Match and tie
Pick the option that matches your forecast and ties to the mechanism.

Which outcome options are traps?

	Sensible size	Wrong size
Right direction	✅ The answer	📢 Overkill: “collapses”, “completely”, “will be abandoned”
Wrong direction	🔄 The flip: the effect moves the other way	💥 Flipped and exaggerated
No direction	😐 “No impact”: ignores the mechanism	🌀 A new effect the machine can't make

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⚔️ Side by side

Must be true vs most likely outcome

🔒Must be true

guaranteed by the text

•Prediction words are a red flag

🎯Most likely outcome

the machine's best forecast

•“Likely” is fine; “completely” still fails

Test	Must be true	Most likely outcome
Allowed to predict?	No	Yes, from the passage's mechanism

Outcome questions let you forecast. They don't let you forecast with your own machine.

The “if it were NOT” switch

Counterfactual stems (“if the image were not dominant”) remove a named cause. One of several? The effect shrinks. The only one? It may vanish. Count the causes first.

The “if X is the main criterion” switch

The stem adds a rule. If evaluations decide promotions, the evaluation pattern becomes the promotion pattern. Copy it faithfully, including when it starts and stops.

⚠️ Don't repeat the stereotype as truth

When an author describes a bias, the outcome is what the belief does: hiring hesitancy, lower evaluations. An option stating the stereotype as fact isn't an outcome; it's the bias, copied out.

Can you run the machine on fresh passages?

✍️ Worked example Warm-up ⏱ 30 sec

Kabir scraps the loyalty card

Kabir's loyalty card gives a free coffee after nine. Regulars now visit more often; first-time customers notice no difference. If Kabir scraps the card, what is the most likely outcome?
(A) The café loses all its customers.
(B) Regulars may visit a little less often; first-timers are unaffected.
(C) First-time customers stop coming.
(D) Nothing changes at all.

1
Machine: card → regulars visit more. First-timers: no effect.
2
Switch: remove the card.
3
Predict: regulars' extra visits fall away; first-timers unchanged. Down, and small.
4
Match: B. A is overkill, C picks the wrong group, D ignores the mechanism.

Answer: (B)

⚡ The exam-hall shortcut

Ask who the cause affected. Only that group changes when you remove it.

✍️ Worked example CLAT level ⏱ 75 sec

The pedestrian market

When a hill town made its main market a pedestrian zone, shopkeepers feared customers would vanish. Instead footfall rose, because families who had avoided the crowded, honking street began strolling there in the evenings. Sales of snacks and souvenirs climbed most. Hardware shops, whose customers carry heavy loads to their cars, saw little change. Congestion has shifted to two side roads.
If the town reopened the street to cars, which outcome is most likely, based on the passage?
(A) Footfall would rise as shoppers park closer.
(B) Hardware shops would close.
(C) Evening family footfall would likely fall, hurting snack and souvenir sellers most.
(D) Congestion would disappear completely.

1
Machine: no cars → calm street → families stroll → snack and souvenir sales up.
2
Switch: cars return, so the cause reverses.
3
Predict: family footfall falls; the biggest gainers lose most.
4
Match: C. A flips the proven mechanism. B is overkill for “little change”. D: congestion only moved.

Answer: (C)

⚡ The exam-hall shortcut

Reverse the switch, reverse the effect, and whoever gained most loses most.

✍️ Worked example Tricky ⏱ 60 sec

The Sunday mock scholarship

At a coaching centre, students who take the Sunday mock at home average 8 marks more than those who sit it under supervision. Teachers suspect some home-takers check notes.
If the centre awards scholarships only on Sunday mock scores, what is the most likely outcome?
(A) Scholarships would go disproportionately to home-takers.
(B) Honest centre-takers would win most.
(C) Sunday mocks would stop.
(D) The winners would be the most able.

1
Machine: home-takers score about 8 marks higher.
2
Switch: a new rule: scores alone decide scholarships.
3
Predict: whoever scores higher wins more: the home-takers.
4
Match: A. B flips the pattern. C is an unsupported forecast. D assumes scores measure ability, which the suspicion undercuts.

Answer: (A)

⚡ The exam-hall shortcut

“If X decides Y”: copy X's pattern straight onto Y. It's the 2023 promotions question in miniature.

How has CLAT asked most-likely-outcome questions?

📝 Asked in CLAT 2023 · Q116 Remove one of several causes

…print media remains the most trusted source of information… But that is where the good news ends — for the print media, at least… the newspaper industry is struggling to contain the migration of readers and revenue to other formats, especially digital media. Ironically, the pandemic… adversely affected the print media as traditional advertisers… cut back on advertisements. But the crisis in print precedes the pandemic. Newspapers have been outpaced by speedier, but also spurious, sources of information. The dominance of the image over text as a cultural phenomenon is another formidable challenge…

What would be the impact on the readership and revenues of the print media if the image were not dominant over text as a cultural phenomenon?

APrint media would not suffer as much of a reduction in readership and revenue as readers shifted to other formats.

BPrint media would suffer a greater reduction in readership and revenue as readers shifted to other formats.

CThere would be no impact on the readership and revenues of the print industry.

DThere would be an increased demand from readers that newspapers carry more images and less text.

Reveal answer + reasoning

Answer: A

Count the causes: speedier sources, advertisers cutting back, and the image beating text, “another formidable challenge”. Remove one and print still declines, just less. Answer A. Time: 40 seconds.

Why the others fail

B — The flip: removing a challenge can't deepen the losses.
C — Overkill: the other causes remain, so there is still an impact.
D — A new effect: if images weren't dominant, readers would hardly demand more.

📝 Asked in CLAT 2023 · Q125 What the belief does

…In an analysis of professors’ evaluations, female professors witnessed a decline as they moved from their 30s to 40s, hitting an all-time low around the age of 47. All this while, the evaluation of male professors remained consistent. Interestingly, after the age of 47, the evaluations for women increased again, becoming equal with those of men around the early 60s… Women around the age of mid 30s to late 40s also face what is called “the motherhood penalty,” where assumptions around parenting duties lead people to believe women are less committed to their careers than men. This has several repercussions, most particularly evident in hiring, promotions and wages…

Which of the following is most likely to be an outcome of what the author describes as the “motherhood penalty”?

APeople are more hesitant to hire men from their mid 30s to their late 40s but may be more willing to hire women of a similar age.

BPeople are more hesitant to hire women from their mid 30s to their late 40s but may be more willing to hire men of a similar age.

CWomen from their mid 30s to their late 40s always prioritise parenting responsibilities and so are not really interested in pursuing a career.

DWomen who have children are less committed to their careers than men.

Reveal answer + reasoning

Answer: B

Machine: a belief (women of this age are less committed) → repercussions in hiring, promotions and wages. The outcome is what the belief does to employers: more hesitation to hire women of that age than men. Answer B. Time: 30 seconds.

🔬 Option autopsy

Option autopsy: CLAT 2023 Q125

Most likely outcome of the “motherhood penalty”?

A Hesitant to hire men in their mid-30s to late 40s, not women Tag it

🔄 Opposite direction

Swaps the genders.

B Hesitant to hire women in their mid-30s to late 40s, not men Tag it

✅ Correct

The belief, acted on in hiring.

C Women of that age always put parenting first Tag it

📢 Too strong / extreme

“Always”: turns others' assumption into a fact about every woman.

D Mothers are less committed to careers than men Tag it

❓ Not supported by the text

The stereotype stated as truth; people only believe it.

🔄 Opposite direction✅ Correct📢 Too strong / extreme❓ Not supported by the text

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

📝 Asked in CLAT 2023 · Q126 An added rule: copy the pattern

Same passage as Q125 above (the professors' evaluations).

If professors’ evaluations are the most important criteria in awarding promotions, then which of the following would be the most likely outcome, based on the information provided in the passage?

AMale professors are likely to be promoted at an even rate throughout their career, while women professors would experience a lower likelihood of promotion in the mid-career stage.

BSince there is a wide disparity between the evaluations that male and female professors receive, the practice of relying upon such evaluations will quickly be abandoned.

CMale and female professors will receive promotions at a similar rate throughout the course of their career.

DWomen professors are likely to be promoted at an even rate throughout their career, while male professors would experience a lower likelihood of promotion in the mid-career stage.

Reveal answer + reasoning

Answer: A

The stem adds a rule: evaluations drive promotions. Copy the pattern across. Men: steady evaluations, so a steady promotion rate. Women: a dip from the 30s to about 47, then recovery, so lower chances mid-career. Answer A. Time: 40 seconds.

Why the others fail

B — An unsupported forecast: nothing says evaluations would be abandoned.
C — Ignores the mid-career gap in the data.
D — Swaps the genders: men's evaluations were the steady ones.

Also asked: 2023 Q124, same passage: men's easier access to senior leaders means women find progress harder (C). The other options flipped one half or both.

Which myths trip students on outcome questions?

💥 Myth vs fact

Traps students fall for

🙅 Myth

The most dramatic option shows the sharpest reasoning.

Tap to bust it →

✅ Fact

Drama is usually overkill. Removing one of several causes shrinks the effect; it doesn't end the world.

🙅 Myth

“No impact” is the safe, neutral pick.

Tap to bust it →

✅ Fact

Only if the switch touches nothing in the machine. Usually it ignores the mechanism the passage spent lines on.

🙅 Myth

Outcome questions test general knowledge.

Tap to bust it →

✅ Fact

They test the author's machine. Use it even if your own view of the world differs.

Test yourself: five outcome questions

🎯 Quick quiz

Run the machine

0 / 5

A college library began lending laptops for a week at a time. Borrowing was highest among students from families without a home computer, and their submission rates for assignments rose. Teachers noticed fewer late submissions from them too. Students who owned laptops rarely borrowed one. Nothing else about the course changed that term. The library now spends part of its book budget on repairs.

Q1. If the library stopped lending laptops, what is the most likely outcome?

Q2. A passage names rising rents, online discounts and fewer readers as the reasons small bookshops close. If rents stopped rising, the most likely outcome is:

In one city, delivery apps promise groceries in ten minutes. Riders say the countdown pushes them to jump signals and ride on the wrong side. A traffic study links the scheme to more two-wheeler accidents near the apps' warehouses over the past year. The apps reply that most orders arrive on time. Assume the timer is the main reason riders break traffic rules.

Q3. If the apps dropped the ten-minute promise, what is the most likely outcome?

Q4. A survey says hostel students slept less in exam weeks because lights stayed on till 3 a.m. If lights went off at midnight, the most likely outcome is:

Q5. The passage lists several causes of an effect. Which word in an outcome option should worry you most?

🎯 Most likely outcome in a nutshell

Outcome questions = the author's cause machine + one flipped switch.
Predict direction first, then size.
One of several causes removed → a smaller effect, not zero.
“If X decides Y” → copy X's pattern onto Y.
A described bias produces outcomes. The stereotype stated as fact is never one.

📎 Cheat sheet

“Impact if X were not…” → counterfactual → count the causes; shrink, don't zero.
“Most likely true if the author's statements are true” → check both halves.
“Outcome of what the author describes as…” → name what the belief does.
“If X is the main criterion for Y” → map X's pattern onto Y.
“Must be true” / “can be inferred” → validity → no forecasting allowed.

Frequently asked questions

What are “most likely outcome” questions in CLAT?

They describe a cause-and-effect situation and ask what would happen if one input changed: a cause removed, a rule added or a claim accepted. You apply the author's own mechanism to the new input. The answer moves in the right direction by a sensible amount.

How are outcome questions different from must-be-true questions?

A must-be-true answer is guaranteed by the passage, so predictions are suspect. An outcome question invites a forecast, so “would likely” is fine, but the forecast must come from the passage's mechanism. Outside knowledge and absolute words still sink an option.

What if the passage gives several causes and the question removes one?

The effect gets smaller, not zero, because the other causes are still working. Reject “no impact”, which ignores the removed cause, and “greater impact”, the flip. Choose the option that says the effect is reduced, as in CLAT 2023 Q116.

Can I use real-world knowledge to predict the outcome?

No. Even if you know how markets or workplaces really behave, the question asks what follows from the author's account. Use the mechanism the passage describes, even where your own experience differs. Outside facts usually lead to the “new effect” trap.