  Electoral systems are subject of study for physicist and mathematicians in
last years given place to a new area: sociophysics. Based on previous works of
the author on the Mexican electoral processes in the new millennium, he found
three characteristics appearing along the 2000 and 2006 preliminary dataset
offered by the electoral authorities, named PREP: I) Error distributions are
not Gaussian or Lorentzian, they are characterized for power laws at the center
and asymmetric lobes at each side. II) The Partido Revolucionario Institucional
(PRI) presented a change in the slope of the percentage of votes obtained when
it go beyond the 70% of processed certificates; hence it have an improvement at
the end of the electoral computation. III) The distribution of votes for the
PRI is a smooth function well described by Daisy model distributions of rank
$r$ in all the analyzed cases, presidential and congressional elections in
2000, 2003 and 2006. If all these characteristics are proper of the Mexican
reality they should appear in the July 2012 process. Here I discuss some
arguments on why such a behaviors could appear in the present process
