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Temperature chaos has often been reported in literature as a rare-eventdriven phenomenon. However, this fact has always been ignored in the dataanalysis, thus erasing the signal of the chaotic behavior (still rare in thesizes achieved) and leading to an overall picture of a weak and gradualphenomenon. On the contrary, our analysis relies on a large-deviationsfunctional that allows to discuss the size dependencies. In addition, we had atour disposal unprecedentedly large configurations equilibrated at lowtemperatures, thanks to the Janus computer. According to our results, whentemperature chaos occurs its effects are strong and can be felt even at shortdistances.

Temperature chaos in 3D Ising Spin Glasses is driven by rare events