For each of the following problem scenarios, decide if a solution would best be addressed with supervised learning $($classification or numerical estimation$),$ unsupervised learning $($association or clustering$),$ or a simple database query. Explain your answer.

A major automotive manufacturer recently initiated a tire recall for one of their top$-$selling vehicles. The automotive company blames the tires for the unusually high accident rate seen with their top$-$seller. The company producing the tires claims the high accident rate only occurs when their tires are on the vehicle in question. Who is to blame?