If I get a thousand labels for $0.10/ea and 50% of them are wrong there is two ways to look at the result: 1) I spent $100 on 1000 labels 2) I spent $100 on 5

If I get a thousand labels for $0.10/ea and 50% of them are wrong there is two ways to look at the result: 1) I spent $100 on 1000 labels 2) I spent $100 on 500 good labels and 500 bad ones and can’t tell them apart. If I spent $0.20 per label on 500 labels with good better accuracy I end up spending less and getting more. The only way what you said makes sense is if we ignore the quality of the data as a consideration.