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But, the main issue is "once an experienced analyst has the minimum information necessary to make an informed judgement" is followed by "they are unaware of the extent to which their judgements are determined by a few dominant factors."

Which implies they do not know which part of the data is most important. No?

disclaimer: didn't click link/read chapter

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The authors ultimate solution is to use the scientific method to compare competing hypothesis...otherwise you'll be blinded by all sorts of biases. If you are running an experiment and using competing hypothesis...in theory, you can identify which metrics are best for that test... but if you had much more data, you'll probably end up using every data point past the first 5 as confirmation bias. (I'm no expert though and haven't read the book in about 3 years.)

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