Born's rule states P ( E i | ρ ρ ) = T r a c e ( E i ρ ρ ) , where E i is a particular measurement outcome projector and ρ ρ is the density matrix of the system. Given a histogram of observations for each measurement, one has an approximation p i to P ( E i | ρ ρ ) for each E i .