Relative absence of something is often more difficult to quantify than its presence. This paper uses satellite observations and global model data to show that it is uncertainties in the quantification of clean-sky conditions that contribute most to current uncertainties in estimates of the sensitivity of cloud properties to varying degrees of aerosol loading. This is a novel result that should prove of broad interest to the aerosol-cloud-climate community for reframing how the problem is approached, by focusing on improved quantification of clean conditions.