Film historians often find it difficult to determine typical audience members' responses to particular films, especially those from the early twentieth century.
Statements
It's hard for film historians to figure out typical audience reactions to certain films, especially from the early 20th century.
Newspaper and magazine reviews fail to provide much insight.
So do box office figures. They just show whether a film was a financial success or failure. They don't show what audiences found funny, frightening, or moving.
Evaluate
Did we see any Conditional, Causal, Mathematical, or Pivot language that would suggest which ideas to combine?
The closest we have is some anti-causal wording.
Box office figures don't help us figure out the typical audience reaction to films. Newspaper and magazines reviews don't provide much insight into typical audience reaction to films.
We could potentially derive statements that reinforce that anti-causal relationship: - newspaper and magazine reviews don't usually mention the typical audience reaction, and they can't be trusted to reflect the typical audience reaction.
- box office figures don't indicate typical audience reactions - financial success or failure doesn't reveal typical audience response
The middle sentence seems to have some utility. If we say, then we seem to be implying that "Y does not help us determine X" and that "Z is part of determining X".
(we already covered "Y doesn't help us determine X" when we said that )
(Z is part of determining X) - what audiences found funny, frightening, or moving is part of determining the "typical audience response".
Goal
Hard to know exactly what they're going for because there are several ways to spell out what does and doesn't help us determine typical audience reactions.