Step 1: Understand the context of the data.
The analysis was conducted on planes that returned from missions. These planes had visible bullet damage in certain areas. However, planes that did not return (those shot down) could not be studied.
Step 2: Apply survivorship bias reasoning.
If planes return safely despite heavy damage in some parts, this means those parts can take hits without causing the plane to be destroyed. In contrast, the parts that showed little or no damage in surviving planes may actually be critical vulnerabilities—because if those parts had been hit, the planes would not have made it back.
Step 3: Evaluate the options.
- (a) Incorrect. Reinforcing the most frequently hit areas is unnecessary since planes survived hits there.
- (b) Incorrect. A clear conclusion can be drawn by accounting for survivorship bias, so "no conclusion" is wrong.
- (c) Correct. The parts with least visible damage in returning planes are the most critical and must be reinforced. This is the well-known insight from Abraham Wald's WWII aircraft study.
- (d) Incorrect. Reinforcing all areas is inefficient due to weight constraints, which the passage highlights. \[ \Rightarrow~\boxed{(c)~\text{The least damaged areas must be reinforced, since hits there downed the missing planes.}} \]