Researchers have reanalyzed global annual precipitation using quantile regression to reveal overlooked trends. Linear trends in US and global climate assessments reflect changes in mean annual precipitation, but these may not reflect changes across other quantiles in the precipitation probability distribution, including tails (very high and low precipitation levels), leading to systematic mischaracterization of climate risk. Applications in future climate studies could allow for risk assessment at more appropriate adaptation targets.