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805+ (Hard)|   Assumption|            
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stackskillz
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AditiDeokar
Hi Experts, why can't the answer be C as that would also lead to a change in percentage right, similar to A?
C is not an assumption the argument needs. It would change the numbers, but it changes them in the wrong direction.

The conclusion “about 10% of actual donors will still supply contaminated blood” comes from treating “miss two thirds of NANB carriers” as “two thirds of NANB carriers will still be donors.” That only holds if those missed carriers are not screened out for some other reason. That is exactly what A guarantees.

C says the NANB test will disqualify more than 5% of prospective donors. If anything, that means the screening is catching more people, so fewer contaminated donors should remain. It does not fix the key gap (missed NANB carriers getting removed by other tests), and it tends to weaken, not support, the 10% claim.
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Got it — here is a **clean version (no symbols, no formatting issues, fully pastable):**

---

1. CORE STRUCTURE

Evidence:
Test removes 5 percent of donors
Test misses two-thirds of infected donors

Conclusion:
About 10 percent of actual donors will still supply contaminated blood

Key gap: converting partial stats into a precise final percentage

---

2. PRETHINK (MOST IMPORTANT)

Before options, think:

* What is the starting pool of infected donors?
* Are infected donors already filtered by other tests?
* Does the 5 percent removal actually target infected people?
* Is the math valid without a base infection rate?

Core question to ask:
Is anything already removing these infected donors before this test?

---

3. ASSUMPTION GAPS

Gap 1 (Necessary Condition)
A significant portion of NANB-infected donors are not already excluded by other screening tests

Gap 2 (Sampling)
The infection proportion among donors matches what the argument assumes

Gap 3 (Necessary Condition)
The 5 percent removed includes some infected donors

Gap 4 (Math Consistency)
The percentages combine meaningfully to produce about 10 percent

Gap 5 (Alternative Cause)
No other major filtering system reduces infected donors

---

4. PRE-OPTION CHECKLIST

* Check starting infected pool
* Check prior filters
* Check if removal targets infected donors
* Check if math depends on hidden base rate

---

5. OPTION ANALYSIS

A
Donors carrying NANB hepatitis do not, in a large percentage of cases, carry other infections for which reliable screening tests are routinely performed

Meaning: Most infected donors are not already caught by other tests

If false:
Many infected donors also have other detectable infections
They get removed earlier
Remaining infected pool becomes smaller
Conclusion (10 percent) collapses

Correct

---

B
Donors carrying NANB hepatitis do not, in a large percentage of cases, develop the disease themselves at any point

Meaning: About future disease development

Problem:
Argument is about contamination at time of donation
Future symptoms are irrelevant

Incorrect

---

C
The estimate of the number of donors who would be disqualified by tests for NANB hepatitis is an underestimate

Meaning: 5 percent could be higher

Effect:
More donors removed → contamination may decrease

But:
Argument can still proceed using given numbers
Logic does not collapse

Incorrect

---

D
The incidence of NANB hepatitis is lower among potential donors than in the population at large

Problem:
Compares donors with general population
Argument never uses general population

Incorrect

---

E
The donors who will still supply NANB-contaminated blood will donate blood at the average frequency for all donors

Problem:
Talks about frequency of donation
Argument is about percentage of donors

Incorrect

---

6. WHY A WORKS

“Reliable screening tests are routinely performed” implies:
Detected infections are removed

If A is false:
Infected donors are already filtered earlier
Remaining infected pool shrinks
Conclusion fails

So A is required

---

7. WHY C FAILS

C only says estimate may be wrong

Even if 5 percent changes:
Argument can still use the number and reach a conclusion

So it affects accuracy, not logic

---

8. KEY DISTINCTION

Assumption = must be true for argument to work
Modifier = changes numbers but argument still stands

A = structural
C = numerical tweak

---

9. TRAPS

Ignoring hidden filters
Future vs present confusion
Irrelevant comparison
Changing numbers does not break argument
Switching dimension (frequency vs proportion)

---

10. TAKEAWAY

When you see a percentage conclusion:
Check hidden filtering first

If earlier filtering exists, the whole calculation can collapse

---

FINAL ANSWER: A
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