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Help me eliminate B, if the patrons aren’t noticing will it not make the argument fail
MartyMurray
Key to getting this Assumption question correct is noting the gap between the premise in the conclusion.

The premise is the following:

Tips on these bills were an average of three percentage points higher than tips on bills without the message.

We see the the premise compares tips on bills with and without the message.

The conclusion is the following:

Therefore, if all servers in Pennsylvania regularly wrote “Thank you” on restaurant bills, tips left in Pennsylvania would increase by about three percentage points, on average.

So, the conclusion is about "all servers."

Thus, the correct answer will be something that must be true for the comparison stated by the premise to hold for "all servers."

A. No more than a small proportion of food servers in Pennsylvania currently write “Thank you” on restaurant bills.

This choice works perfectly.

After all, if a MORE than a small proportion of servers already write "Thank you" on bills, then, even though the premise is true, there won't be much of an increase in tips because there won't be much of an increase in notes.

So, this choice has to be true for the evidence to effectively support the conclusion.

Correct answer: A
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thisisakr
Help me eliminate B, if the patrons aren’t noticing will it not make the argument fail


B is not required because the study already showed that bills with “Thank you” produced higher tips.

So the argument does not need to separately assume that most patrons notice the message. Maybe many notice it, maybe only some notice it, or maybe the effect works subconsciously. The exact mechanism does not matter.

Negating B does not kill the argument
: even if most patrons do not notice the message, the average tip could still rise by about three percentage points if enough patrons are influenced by it.

The real issue is whether the message is already common. If it is already common, then making everyone do it will not create a new statewide increase.
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thisisakr
Help me eliminate B, if the patrons aren’t noticing will it not make the argument fail
My explanation above now includes detail on why (B) is incorrect.
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Hi thisisakr,

Your instinct makes sense: it feels like patrons must notice the "Thank you" for tips to go up. But here's the key move that lets us cut B.

The study already includes whatever noticing actually happens. The servers wrote "Thank you" on real bills and handed them to real customers, and those bills came back with tips about 3 points higher. Whatever fraction of patrons noticed (or didn't) is already baked into that result. The argument isn't predicting a noticing rate - it's just saying: do the same thing statewide, get the same observed effect.

So B isn't something the argument needs to be true. The effect was measured under normal conditions; the argument only assumes that rolling it out to all servers reproduces that measured effect. It never has to assume "most patrons will notice."

Quick test - negate B: Suppose most patrons do not notice the "Thank you." Does the argument fall apart? No - the study still recorded a three-point lift even with whatever noticing rate existed. The conclusion survives. When the negation of a choice doesn't break the argument, that choice is not a required assumption.

Compare that with A: negate it (many servers already write "Thank you"), and now making everyone do it adds almost nothing new - the three-point increase vanishes. That negation does break the argument, which is exactly why A is the assumption.

The habit to build: for an assumption choice, ask "if this were false, does the conclusion collapse?" B fails that test; A passes it.

Answer: A

thisisakr
Help me eliminate B, if the patrons aren’t noticing will it not make the argument fail

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1. PRETHINK (Before Looking at Choices)
Conclusion: If all servers write “Thank you,” average tips across Pennsylvania will rise by ~3 percentage points.
Evidence: In a study, bills with “Thank you” got tips 3 percentage points higher than bills without it.
Likely assumptions
  1. Most servers are not already writing “Thank you.”
    • Otherwise statewide adoption would affect only a small number of bills.
  2. Customers generally notice/read the message.
    • If customers do not notice it, the effect cannot occur.
  3. The study effect would continue when the practice becomes widespread.
    • The 3-point increase is not just a special-study phenomenon.
  4. The restaurants/customers in the study are reasonably representative of Pennsylvania.
    • The observed effect can be generalized statewide.


2. OPTION ANALYSIS
A. No more than a small proportion of food servers in Pennsylvania currently write “Thank you” on restaurant bills.
Analysis
This is the assumption.
The conclusion predicts that if all servers start doing it, statewide tips will increase by about 3 percentage points.
That only works if most bills currently do not contain the message.
If many servers already write “Thank you,” then a large portion of customers are already receiving the treatment. Converting the remaining servers would produce much less than a 3-point statewide increase.
Negation test:
Suppose a large proportion of servers already write “Thank you.”
Then moving to universal adoption would affect only a small number of bills, making the predicted statewide increase of about 3 percentage points unsupported.
Correct

B. Most patrons of Pennsylvania restaurants will notice the written “Thank you” on their bills.
Analysis
Tempting but too strong.
The study already found a 3-point increase when the message was written. That means enough customers noticed it for an effect to occur.
The argument does not need most patrons to notice it.
Maybe only 40% notice it, and that same effect still produces the observed 3-point increase.
Negation test:
Suppose fewer than most patrons notice it.
The study result could still be true and the statewide prediction could still hold.
Not required.
Wrong

C. The written “Thank you” reminds restaurant patrons that tips constitute a significant part of the income of many food servers.
Analysis
This proposes a specific mechanism.
The argument only needs the message to increase tips.
It does not matter why it works.
Maybe customers tip more because:
  • it feels polite,
  • it creates goodwill,
  • it personalizes the interaction,
  • it signals effort.
    Any mechanism would support the conclusion.
    Negation test:
    Suppose the message does not remind customers about servers' income.
    The message could still increase tips.
    Not necessary.
    Wrong


D. The rate at which people tip food servers in Pennsylvania does not vary with how expensive a restaurant is.
Analysis
Irrelevant.
The argument compares:
  • bills with message
  • bills without message
    The claim concerns the effect of the message.
    Variation in tipping rates across expensive vs cheap restaurants does not matter unless the argument were comparing restaurant types.
    Even if tipping rates vary dramatically by restaurant price, the message could still add roughly 3 percentage points.
    Wrong



E. The “Thank you” messages will have the same impact on regular restaurant patrons as they will on occasional patrons.
Analysis
Another unnecessary subgroup claim.
The argument needs an overall statewide effect.
The impact does not need to be identical across groups.
Maybe:
  • regular patrons increase tips by 2 points,
  • occasional patrons increase tips by 5 points.
    A statewide average increase could still be around 3 points.
    Negation test:
    Suppose the impacts differ.
    The conclusion can still hold.
    Not required.
    Wrong



3. 725+ Scorer Internal Thought Process (10–15 seconds)
Quote:
Study shows treatment adds +3 points.
Conclusion says statewide adoption adds +3 points statewide.
Biggest gap: many servers may already be using the treatment.
If lots already write “Thank you,” you can't get another full +3-point increase from universal adoption.
Look for an assumption about current usage levels.
Then immediately pick A.


4. TAKEAWAYS
  • Pattern: Experiment → statewide prediction.
  • Recognition Trigger: Conclusion assumes the treatment is not already widely in place.
  • Key Gap: Current baseline adoption rate.
  • Elimination Lesson: Mechanism answers ("why it works") are usually unnecessary unless the conclusion depends on that mechanism.
  • Elimination Lesson: "Same effect across subgroups" is rarely required when the conclusion only needs an overall average effect.
    Answer: A

thisisakr
Help me eliminate B, if the patrons aren’t noticing will it not make the argument fail

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Can you help in Negating D - if you negate D that regular patrons will have tip more then the argument breaks . This is by pre thinking the assumption that the passage assumes that it is not the rareness of the "thank you" but just writing the "thank you: has the higher tipping effect.

egmat
Hi thisisakr,

Your instinct makes sense: it feels like patrons must notice the "Thank you" for tips to go up. But here's the key move that lets us cut B.

The study already includes whatever noticing actually happens. The servers wrote "Thank you" on real bills and handed them to real customers, and those bills came back with tips about 3 points higher. Whatever fraction of patrons noticed (or didn't) is already baked into that result. The argument isn't predicting a noticing rate - it's just saying: do the same thing statewide, get the same observed effect.

So B isn't something the argument needs to be true. The effect was measured under normal conditions; the argument only assumes that rolling it out to all servers reproduces that measured effect. It never has to assume "most patrons will notice."

Quick test - negate B: Suppose most patrons do not notice the "Thank you." Does the argument fall apart? No - the study still recorded a three-point lift even with whatever noticing rate existed. The conclusion survives. When the negation of a choice doesn't break the argument, that choice is not a required assumption.

Compare that with A: negate it (many servers already write "Thank you"), and now making everyone do it adds almost nothing new - the three-point increase vanishes. That negation does break the argument, which is exactly why A is the assumption.

The habit to build: for an assumption choice, ask "if this were false, does the conclusion collapse?" B fails that test; A passes it.

Answer: A


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