User blog comment:Double Slap/Percentage Statistics- Addition for Statistical Efficiency/@comment-24366122-20140906034241/@comment-4091261-20140906054646

Now now, I know I didn't pick the most extreme example but I chose this specific one to actually emphasize the flaws that may occur. Specifically in regards to statistical efficency itself but also to the value of certain stats in comparison to others, which in this case was armor and health.

It is true that resistance does act as a multiplier for effective health which does mean that it isn't truly "wasted." There are indeed better items to exemplify this point, but there is also a very good scenario that could explain this situation. You are Rammus against Olaf. In lane? In jungle? Doesn't really matter when you clash in the end. You want health because of the true damage, but you also want armor because one, you're Rammus ok, two because Olaf still physical damage based. Though your main focus is still health because you don't want Olaf wrecking you with his Reckless Swing.

Loopholes. Of course there are loopholes. You know why? Because this is only 1 of the 3 things people should be considering when analyzing an item. It's a given that attempting to judge based on this alone would be disasterous. Think of it as internet material used in the court. It's never used as prime evidence, only is it seen as support for the claim. There may be a few exceptions being hacking or anything entirely internet based, but for general cases using things like Facebook is what I mean. Back on topic, the analysis should go by order as so: analysis of stats, analysis of cost, then analysis of special effects. I guarantee doing all this will get you the right item. What this proposal is aimed at is making the first step easier.

While in practice it doesn't seem that useful, it is still an upgrade to what is shown now. Big numbers for stat values and a percentage comparing the total value to the actual cost. As of now, can you think of an extremely useful way to use this percentage we call now, statistical efficency? There are a few. Keyword: few. I want to add some extra use for this seemingly pointless percentage by at least being able to gauge the stats that you are paying for.