In 1896 de Swedish scientist Arrhenius published a first estimate how much the earth would warm for a doubling of the CO2 concentration. He thought that humanity would not burn enough coal to reach that for many thousands of years. He was wrong, with the addition of oil and gas CO2 concentrations rose rapidly. In 1981 Jim Hansen used better computations to predict that the global warming signal would be statistically significant by the end of the century. That turned out to be correct. A few years later we could show the warming in the Netherlands, and now we can even determine how much global warming has changed the probability of some types of extreme weather. The statistical analysis of global and large-scale trends in temperature and other variables is called “Detection and Attribution” (D&A). This technique has recently been extended to “Extreme Event Attribution”. We will discuss both statistical techniques and give examples of recent applications to extreme weather, such as the rainfall of Hurricane Harvey, the heat wave “Lucifer” in the Mediterranean last summer and the recent cold wave in the US.