For statistical analyses is good practice to not only study averages, but whole distributions over time and space. Climate change is an obvious candidate to apply such a methodology. The analysis of US data on temperature changes across quantiles of the distribution in 48 regions over 70 years finds distinct patterns of temperature changes. The authors María Dolores Gadea Rivas and Jesús Gonzalo published their findings in PLOS Climate, which showed different patterns of climate warming. Taking into account that it is not only average temperatures that may shift, but only the lower winter temperatures or the warmer summer peaks, they find overall 84% of the regions experienced a statistically significant warming effect. Whereas a higher summer peak is commonly perceived as a climate warming problem, a warmer winter usually is less associated with climate change. This leads to an overall misinterpretation or lower perception that climate warming is and has been happening over the last decades. With yellow daffodils on 2026-2-8, usually a winter day in Brussels (see image), the warm winter days are also evidence that global warming is well under way all year round and across the planet.































