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Originally Posted by Eisai
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If you're 'fist weaving' you still eat the same damage shield and riposte as dual wield right?
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Not quite. You can only punch once per 2hb swing, so the effective delay of the offhand fist equals the 2hb. This is usually much less than the delay of the offhand DW weapon so fist weaving will still eat less DS/riposte damage in absolute terms than DW. But yes, the ratio of dealt damage to DS/riposte damage will be closer to dual wield than that of the 2hb.
Quote:
Originally Posted by Eisai
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If you really need a controlled environment (cause, science) it might be best to strip down to weapons only to create a baseline unperverted by other factors that can create points of argument?
Stein wielding paladin spamming flash to remove dodge/riposte/etc. Fight stuff that take forever to whittle down but can't kill the pally either?
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You don't really need that. It's easy to strip out ripostes while analysing logs. The real challenge is just that it takes a lot of time to gather a statistically significant amount of data (somewhere from a half hour to several hours per setup), combined with the fact that scientifically competent experiment design is not commonly taught at the high school level. I wrote up some of my thoughts on experiment design a while back:
Quote:
Originally Posted by bcbrown
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By no means am I a professional statistician, but I have worked with plenty. High quality statistical testing requires, at a minimum:
An explicit mental model of the world, with all assumptions stated clearly. You need to be able to articulate your understanding of the world before you can know whether your results indicate an improvement of that understanding.
An explicit hypothesis. You need to know what you are looking for in your experiment. Ad-hoc exploratory data gathering can be useful in trying to formulate a hypthothesis, but that exploratory data will not be useful in determining whether a hypothesis is confirmed or rejected.
An experiment design. You need to know ahead of time what data you wish to gather, how to gather it, and when to stop the experiment. An example of a flawed experiment would be trying to show that a certain gear combo causes a certain DPS increase, and then stopping your parse as soon as you show that DPS increase.
Sanity-checking the resulting data to confirm your assumptions have been met. If not, then your understanding of the world is flawed and your data unusable. You need to first run a different experiment to find and fix the flaws in your assumptions.
Run a well-defined, repeatable analysis. You need to know ahead of time what metrics you wish to calculate. You should also do some sort of calculation of statistical confidence, whether frequentist or Bayesian.
Scientific integrity. You need to publish your results whether or not they support your hypothesis. If the results violate some of your assumptions, you cannot rely on the results of any data analysis.
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Quote:
Originally Posted by Eisai
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Remember when the most important aspect of an argument was to be the undeniable winner? All you need here is the data - assuming you actually do want to win.
Or maybe this isn't about monks at all...
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I think you're on to something here!