Re: Advanced Level Technique Metaphor
Posted: Thu Sep 09, 2010 6:58 pm
Definitely the key... The attitude out there now seems a bit like the attitude toward ethics: relativism.
Here's an attempt at an analogy... Tell me what you think:
Hypothesis: "this" is the best way for this athlete (not restricted to a particular athlete, but we are singling out a particular athlete in the "experiment") to vault
Procedure: carry, run, plant, etc. in accordance with the "this" of the hypothesis (the model being tested)
Data: how high the athlete vaults*
Observations: energy loss "here" and "there"
Conclusion: "this" model is better/worse than "that" model
*Perhaps we cannot limit it to this... I would think that we should also consider the repeatability of the procedure, no? (I'm not sure... Thoughts?) There might be other data as well, like safety.
What I would like to draw apart from data lies implicitly in the "procedure"... Systematic errors! The athlete will never (NEVER) be able to perform the procedure perfectly. How do we deal with this? How do we treat error range in "testing" a model?
Just some thoughts... I'm not so sure how much they're worth, but they're out there.
Here's an attempt at an analogy... Tell me what you think:
Hypothesis: "this" is the best way for this athlete (not restricted to a particular athlete, but we are singling out a particular athlete in the "experiment") to vault
Procedure: carry, run, plant, etc. in accordance with the "this" of the hypothesis (the model being tested)
Data: how high the athlete vaults*
Observations: energy loss "here" and "there"
Conclusion: "this" model is better/worse than "that" model
*Perhaps we cannot limit it to this... I would think that we should also consider the repeatability of the procedure, no? (I'm not sure... Thoughts?) There might be other data as well, like safety.
What I would like to draw apart from data lies implicitly in the "procedure"... Systematic errors! The athlete will never (NEVER) be able to perform the procedure perfectly. How do we deal with this? How do we treat error range in "testing" a model?
Just some thoughts... I'm not so sure how much they're worth, but they're out there.