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Isn't it the most basic rule of any information-based analysis that having wrong information or unreliable one is worse than not having any?

Because: 1) you know what you are lacking 2) you won't take action on wrong information.

If you're a doctor deciding whether to recommend a risky surgical procedure, you certainly don't want to jump the gun when reliable information hasn't yet come in. It surely will do in due course, if you're patient.

But if you're a manager giving out raises to your team, taking no action (i.e. giving no raises) might seem a worse choice than using the unreliable data - and there's no expectation reliable data will arrive if you wait.

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