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...and yet another ignoramus who doesn't understand the debate and so blankets it with the predictably safe "you're both wrong".

Almost stopped reading at the hilariously rubbish statement "All the models have limitations which make them of useless in practice." but it's Sunday, and I'm being entertained.

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I think "of" meant to stand for "often".

Which is still a very strong position, but not entirely out of the park - it's quite common (not only in statistics, of course) to encounter situations where not every prerequisite of a certain methodology is met, and yet the obtained results are usable in a practical environment.

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