If say I was looking for say... a good webhost, and I wanted to search Google for how many positive to negative comments there were, I would not only look for the good/bad ratio, but also how many comments there were in total to express reliability.(adsbygoogle = window.adsbygoogle || []).push({});

Which formula best expresses this extra factor out of the following three:

1: (comments - comments^0.5) / comments

2: comments / (comments^0.5 + comments)

3: (comments/30) / (1 + comments/30)

(30 is chosen arbitrarily in the 3rd example). For each formula, a result of 1 is total reliability, and 0 is total unreliability, but other than that, they differ with the values in the middling range 0 to 1.

The end formula for deciding the best webhost would be as follows:

(good/bad) ^ ((comments - comments^0.5) / comments)

...or...

(good/bad) ^ (comments / (comments^0.5 + comments))

...or...

(good/bad) ^ ((comments/30) / (1 + comments/30))

Which is the more 'genuine' formula to use, or maybe another is preferred?

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# Formula to decide reliability of data

Can you offer guidance or do you also need help?

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