  We investigate the question of temperature chaos in the
Sherrington-Kirkpatrick spin glass model, applying to existing Monte Carlo data
a recently proposed rare events based data analysis method. Thanks to this new
method, temperature chaos is now observable for this model, even with the
limited size systems that can be currently simulated.
