(A) Most of the BU17 members who are not programmers work in the Hanson Building.
This only tells us about the non-programmers. The programmers could all work elsewhere.
❌ Doesn't guarantee any programmer in Hanson.
(B) Most members of the executive committee of BU17 work in the Hanson Building.
We know nothing about whether executive committee members are programmers.
❌ Irrelevant.
(C) Most government employees who work in the Hanson Building are members of BU17.
This tells us Hanson → BU17, but doesn't tell us that any programmers are in Hanson. The BU17 members in Hanson could all be the minority who are not programmers.
Example:
BU17: 100 members (51 programmers, 49 non-programmers)
Hanson: 10 employees, 6 are BU17 members—and all 6 happen to be non-programmers.
Still satisfies (C), but no programmer is in Hanson.
❌ Doesn't work.
(D) ✅
Most members of BU17 work in the Hanson Building.
Let's combine:
More than half of BU17 are programmers.
More than half of BU17 work in Hanson.
Can these two groups be completely separate?
No. If more than half of a group have property A, and more than half have property B, then at least one member has both A and B.
Example:
100 BU17 members.
At least 51 are programmers.
At least 51 work in Hanson.
Since 51 + 51 = 102 > 100, the two groups must overlap.