 For example, choice architects might translate non-linear metrics (including monthly credit payments or miles per gallon) into relevant linear metrics (in this case the payback period associated with a credit payment or the gallons per 100 miles).Choice architects can also influence decisions by adding evaluative labels (e.g.good versus bad or high versus low) to numerical metrics, explicitly calculating consequences(for instance translating energy consumption into greenhouse gas emissions), or by changing the scale of a metric (for instance listing monthly cost versus yearly cost).