Comments (2)
Perhaps talk about what you could do if you had complete control over everything. i.e., randomization, etc. Then compare that to what type of variation you actually observe and think about how that departs from the ideal.
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Yeah, exactly!
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Related Issues (20)
- If you wanna see where I'm at...
- More on training data collection
- intro: causal & why? HOT 1
- Kyle: soften motivation language a little in EDA rant?
- Exercise: Descriptive / Proscriptive
- Add zillow and adverse selection to external validity of passive prediction
- How not to get fooled: What people do and what the say they do: risk assessment and arrests
- Add Goodhart's Law to adversarial selection readings
- Dont use \hat{ATE}, use "Observed Correlation" or something
- Let me know HOT 6
- add "correlation is not even _necessary_ for causation" block on optimization
- talk about "embarassingly parallel" versus "integrated" workflows (and the transition between them)
- intro: attempt at laying out my little "three types of questions" structure... HOT 3
- Moved to being about "solving problems" instead of just answering questions HOT 1
- Adriane says HOT 3
- added R tutorials
- Potential Examples (with data)
- Intro reading: Add rain/umbrella HOT 3
- Good correlation not causation example: blood pressure and surgery complications HOT 3
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