Why Witch loot drops suffer so badly - the stats:
" No, it's not. Again, ANYONE who has taken even a high-school level statistics class will agree with me here. http://en.wikipedia.org/wiki/Normal_distribution EDIT: If that's too complicated for you to get, how about this? Go find a 6-sided die and roll it 433 times. Prove to me that, based on those 433 trials, each side of the die has approximately 1/6 chance of occuring. It can happen, but... I doubt you'll get those results. i too fas fo youuuuuuu Last edited by Duskbane#4733 on Mar 26, 2013, 10:26:02 AM
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" Actually many pure classes cant use pure gear of another classes due to stat requirements I know on my elemental templar I cannot use alot of dex heavy gear such as rapiers it just wont happen thats why their BIS weapons will always be corsair swords. Abyssus Crit Cleave - http://www.pathofexile.com/forum/view-thread/381106
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"is it so obvious? he is talking about "witch gear" and balancing drops towards your "class" well if i want to build a str based witch using two handed axes, i would be completely fucked in the ass wouldnt i? | |
Thanks so far to all those that are offering points of debate. I shall address them all in batches as new opinions arrive for or against.
To prevent repetition, the sample size is perfectly adequate as it fully illustrates the currency bias, level-required bias and Chestpiece/weapon bias while explaining how other items get punished by this. There is no point in creating a larger sample size as the point has already been proven, all a larger sample size would do would be to increase the numbers, not the cause. The cause would still be the same. The currency stats alone will ring true to all players, they are 'indisputable' numbers. Why would farming 40 screens produce a variance percentage any different to what everyone knows and experiences anyway. Questioning the sample size is just another way of saying "I don't want to discuss this right now", which is fair point, but, in which case, simply don't post if you don't want to discuss the topic for it's real pros and cons. Simply stating "I prefer my drops to be silly-rare" with some justification goes a lot further than a pissing contest about sample size (for which this sample size is perfectly adequate). |
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" No, you'd be in the pure STR sample group and scoring piles of useful equipment :) Never argue with a zombie, he'll drag you down to his level and eat your brains. |
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" No, I will discuss the pros and cons of the system when you have proven your point. You haven't. Go get a larger sample size to back up your information. I'm no teacher, but if I were, and I gave you a (for simplicity's sake) math test, and you turned it in with only the answers, showing no work, I'd hand your paper back and ask you to try again. i too fas fo youuuuuuu
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for these numbers to mean anything don't we need to set a baseline of what constitutes "witch gear" being as there are so many possible combinations of gear, passives, gems..etc its hard to really say whats what. Are you considering witch gear something along the lines of "what i need for my spec as a witch" or maybe "anything with intellect spell damage, and ES" If its the former I could possibly sympathize with you especially if your spec is an oddball one that requires harder to find gear but if its the latter all your math is meaningless as I see that kind of gear drop constantly. I mean really your whole post is meaningless because it lacks context.
Last edited by derbefrier#6652 on Mar 26, 2013, 10:31:19 AM
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" Sad to say, but you really do need to take a class on statistics to know that your sample size is far too small for it to be compelling evidence. Come back with a far larger sample, then more people might take this seriously, including myself. You can't build an accurate model off of so few samples, you'll get laughed out of any college level class on the subject. |
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I take issue with the OP stating that the insufficient sample size argument is one trying to avoid the argument.
Stating insufficient sample size is a very valid argument used in the world of statistics. Based on your sample size vis a vis real world dictates the percentage likelihood that your data accurately reflects what is actually going on in the game. For example, take what is possibly the most famous stats guru in town, Nate Silver. When he makes a claim based on statistical data, he adds what he thinks is the likelihood that his interpretation of the data is correct based on many factors, including sample size. That being said, I won't outright claim whether your sample size is large enough or not. What I would humbly suggest the OP do to aid this discussion, is to if possible use a normal distribution calculation (of course with the necessary assumptions) and then give us the output, including the tolerance level (ie: the percentage likelihood it is correct). Another 3 quick things I'd like to point out that I believe may aid the discussion: - just because we see evidence weightage in one area that we believe to be true (currency), doesn't mean any similar evidence for another area must be equally conclusive. - why stop before level 28? I believe the average gamer on these forums would aim for at least level 60 or 70 and that may be more fair. I understand you had 4 screens but drawing a line across the middle of the level seems a little odd given the classes equipment have varying level requirements at different stages - i'm a lvl 67 templar and i haven't found any sceptre or staff that impressed me so far. i've stuck mainly to daggers (of all things), yet i've found them phenomenal to use. i haven't found the class specific items thing restrictive in the least... Last edited by dlrr#2847 on Mar 26, 2013, 10:54:09 AM
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The sample size debate is really funny. You can do some math to determine what sample size is enough. I'm guessing most of you are like me and either don't remember how to do that math or never learned it at all.
Conceptually, a larger sample is always better, but for a certain number of samples, there will be some probability that your results are within some margin of the true values. What the OP failed to address is what those numbers are so we can't really tell if the sample is adequate unless we do the math ourselves. |
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