Discover and read the best of Twitter Threads about #Itdepends
Most recents (3)
So this thread explaining a key issue in the debate seemed to be useful so I thought I’d add another; this one around the question of #itdepends and how a key difference of values feeds confusion in the debates
🧵
🧵
One of the things that confuses/annoys people is the eco psych advocacy for not using all available conceptual tools and frameworks when designing training. Broadly, we push for *just* using the ecological principles underpinning representative learning design
This is a major source of confusion and public relations shenanigans. We get marketed as zealots and cultists, and as crazy for rejecting the seemingly obvious fact that which approach is best depends on lots of factors - how can one approach claim to have all the solutions?
@KleefulF turned me on to this online Genshin Impact Build Generator
Handy tool
Running my artis through it improved my Hutao set by 0.8% on vape hits and 15.7% on non vapes over what I thought was my best Build
Definitely go check it out:
frzyc.github.io/genshin-optimi…
Handy tool
Running my artis through it improved my Hutao set by 0.8% on vape hits and 15.7% on non vapes over what I thought was my best Build
Definitely go check it out:
frzyc.github.io/genshin-optimi…
This also highlights the Golden Rule of Genshin: It depends
EM sands on Vape Hu Tao is better than HP in 90% of situations
I'm in that 10%
My HP sands is cracked + I already have 147 EM from subs so EM sands hits diminishing returns
But for most peeps EM sands is the play
EM sands on Vape Hu Tao is better than HP in 90% of situations
I'm in that 10%
My HP sands is cracked + I already have 147 EM from subs so EM sands hits diminishing returns
But for most peeps EM sands is the play
This is why when peeps ask what my Artis are or what to build I always answer "It depends, go punch your shit into a calculator"
We can give the general recommendations but at the end of the day there are so many variables in builds and optimal builds achieve a good balance
We can give the general recommendations but at the end of the day there are so many variables in builds and optimal builds achieve a good balance
👋 hi, @LucyStats here! Kicking off some live tweeting of this exciting discussion on the future of epidemiologic methods.
@nondogmatist kicks us off, asking the panelists to discuss what they see in the future of Epi
@nondogmatist kicks us off, asking the panelists to discuss what they see in the future of Epi
Starting us off, @edwardsjk and @robertwplatt both talk about *data*
The difference between the “source cohort” or “dark data” and the data that we’re actually using - We often just see the tip of the iceberg 🏔, we need to develop and use methods that take this into account
The difference between the “source cohort” or “dark data” and the data that we’re actually using - We often just see the tip of the iceberg 🏔, we need to develop and use methods that take this into account
@robertwplatt states that we need clear actionable questions.
❓➡️ 📈
Make the question drive the method, not the other way around.
❓➡️ 📈
Make the question drive the method, not the other way around.
