In a very short time the experiments at the LHC have collected a large amount of data that can be used to study minimum bias (MB) collisions and the underlying event (UE) in great detail.The CDF PYTHIA 6.2 Tune DW predictions for the LHC UE data at 900 GeV and 7 TeV are examined in detail.The behavior of the UE at the LHC is roughly what we expected.The LHC PYTHIA 6.4 Tune Z1 does an excellent job describing the LHC UE data.The modeling of MB (i.e., the overall inelastic cross section) is more complicated because one must include a model of diffraction.The ability of PYTHIA Tune DW and Tune Z1 to simultaneously describe both the UE in a hard scattering process and MB collisions are studied.No model describes perfectly all the features of MB collisions at the LHC.* Lectures presented at the 51 st Cracow School of Theoretical Physics: The Soft Side of the LHC. FIG. 2:CDF Run 1 data from Ref.[1] at 1.8 TeV on the density of charged particles (p T > 0.5 GeV/c, |η| < 1) in the "transverse" region as defined by the leading charged particle jet, chgjet#1, as a function of P T (chgjet#1).The data are compared with ISAJET 7.32 without MPI (top) and HERWIG 6.4 without MPI (bottom) using the ISAJET and HERWIG default parameters with p T (hard)> 3 GeV/c.The Monte-Carlo predictions are divided into two categories: charged particles that arise from the break-up of the beam and target (beam-beam remnants); and charged particles that arise from the outgoing jets plus initial and final-state radiation (hard scattering component).