Lifting N Tx
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(Dan Moore @ Oct. 17 2006,13:00)</div><div id="QUOTEHEAD">QUOTE</div><div id="QUOTE">The response in GH seen in this study doesn't say it was because of drop sets it could very well be an artifact of increased work...</div>
This is a problem with interpreting most studies that I see. They don't control all the variables enough to make it easy to draw a conclusion about what variables are causing the results observed.
I like the saying "correlation does not necessarily imply causation". For an example from another area entirely, think of your local news. Imagine your local talking head announcing "along with the increase in crime, officials have noted an increase in gun purchases". Well, are people buying guns to commit crimes with (unlikely), buying more guns and since they are handy using them in crimes of passion, or buying more guns because crime is rising and they are scared?
This is just a made up example, but illustrates how you have to be careful when two things are correlated to not make assumptions about what is actually causing what.
(Dan Moore @ Oct. 17 2006,13:00)</div><div id="QUOTEHEAD">QUOTE</div><div id="QUOTE">The response in GH seen in this study doesn't say it was because of drop sets it could very well be an artifact of increased work...</div>
This is a problem with interpreting most studies that I see. They don't control all the variables enough to make it easy to draw a conclusion about what variables are causing the results observed.
I like the saying "correlation does not necessarily imply causation". For an example from another area entirely, think of your local news. Imagine your local talking head announcing "along with the increase in crime, officials have noted an increase in gun purchases". Well, are people buying guns to commit crimes with (unlikely), buying more guns and since they are handy using them in crimes of passion, or buying more guns because crime is rising and they are scared?
This is just a made up example, but illustrates how you have to be careful when two things are correlated to not make assumptions about what is actually causing what.