In another discussion: https://www.researchgate.net/post/Is_the_number_of_replies_to_an_RG_question_inversely_proportional_to_the_usefulness_of_said_replies

we have speculated that the more responses to an RG question or discussion then the less useful or accurate those responses are or can be. At present only a 'Recommend' option is available and is likely to be subjective or prejudiced.

We note that a properly posed scientific question may have few experts that could either answer that question or provide insight or experimentation to provide more information. This would mean in practice that a well-posed question would have few answers – ideally one perfect answer to avoid searching through reams of trivia unrelated to the actual question.

Here we define a usefulness factor (UF) or factor of usefulness (FoU) or index based simply on the number of responses (not construed as ‘answers’) to any posed question or discussion.

Thus, we define: FoU = 1/[Number of responses]2 or

% FoU = 100/[Number of responses]2

As an example, a perfect, single answer to a question scores a % FoU of 100/12 or 100. 10000 'answers' to a question provides a % FoU of 100/[10000]2 or 0.000001 (I millionth of a %).

We can then define a Single Factor of Assistance (SFoA) to the poser of the question identical to the FoU.