Be cautious when there’s some, be cautious when there’s none, and be cautious when adding more than one.

What do the heck does that mean???

Let’s take these correlation cautions one by one.

Be cautious when there’s some. Suppose you did a study and found a correlation between job performance and high school grades. Does this mean that if we simply increase everyone’s high school grades that they will perform better at work???  Clearly not! 

Blocking, not to be confused with the type that exposes one to the risk of physical injury, is a REALLY clever way to run experiments.

Blocking can be thought of as grouping experimental runs. And when experimental trials are grouped, interesting things can happen - not the least of which is you can really increase your signal to noise ratio.

Consider the following operational life data from Company ABC:

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