Smart Simulations: Talent & Trait interactions

Last year I wrote a post on looking at talent interactions to look at how talents interact with each other. With the launch of Battle for Azeroth and my focus change towards more experimental theorycrafting ideas I’ve decided to revisit this subject. One issue I found mid-way through this is that just showing the interaction values, with 5 output related talent rows plus 3 different sources for Azerite Traits, doesn’t actually make it easy to answer the question of which combination is better. To answer that I’ve built a second process to combine the results.

This post is more of a reference document for people who want to replicate this process within their own systems or analysis tools. If others want to replicate this for their own specs I can help with some of the initial setup process. Read more of this post


Gearing Paths

My WoW project of late has been looking at secondary stats and better ways of eyeballing gear upgrades than using stat weights (read this post for more information on how stat weights are misused). The general idea is to produce a table where players can look up their total secondary ratings to find out how they should be distributed, but in a way that doesn’t result in drastically re-arranging gear & enchants every time they get an upgrade.

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