  The complexity of collider data analyses has dramatically increased from
early colliders to the CERN LHC. Reconstruction of the collision products in
the particle detectors has reached a point that requires dedicated publications
documenting the techniques, and periodic retuning of the algorithms themselves.
Analysis methods evolved to account for the increased complexity of the
combination of particles required in each collision event (final states) and
for the need of squeezing every last bit of sensitivity from the data;
physicists often seek to fully reconstruct the final state, a process that is
mostly relatively easy at lepton colliders but sometimes exceedingly difficult
at hadron colliders to the point of requiring sometimes using advanced
statistical techniques such as machine learning.
  The need for keeping the publications documenting results to a reasonable
size implies a greater level of compression or even omission of information
with respect to publications from twenty years ago. The need for compression
should however not prevent sharing a reasonable amount of information that is
essential to understanding a given analysis. Infrastructures like Rivet or
HepData have been developed to host additional material, but physicists in the
experimental Collaborations often still send an insufficient amount of material
to these databases.
  In this manuscript I advocate for an increase in the information shared by
the Collaborations, and try to define a minimum standard for acceptable level
of information when reporting the results of statistical procedures in High
Energy Physics publications.
