No matter how powerful your computer is, if you put lousy data in, you'll get lousy predictions out.

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About this quote

It states a brutal but useful truth: tools cannot compensate for sloppy inputs. Are you blaming results while ignoring the messy inputs you control? Clean your data, fix the basics, and hold yourself accountable before expecting reliable outcomes.

When to use it

  • In a model review: 'Don't ship the prediction; fix the training data first—lousy data equals lousy predictions.'
  • When discussing forecasts with the team: 'If the sales numbers are garbage, the forecast will be garbage. Clean the inputs before trusting the output.'
  • Coaching a colleague on tracking progress: 'If you measure sloppily, you will get misleading results. Improve how you collect data.'
  • In a project post-mortem: 'Before blaming the algorithm, audit the inputs. Bad inputs made the bad outcome inevitable.'