Computer experiments are carried out on a two-dimensional, time-stationary, turbulent free shear flow. The aim is to visualize in a motion picture the time history of the entire field of all variables that are deemed interesting: velocity, pressure, vorticity, dissipation, etc..., and to observe the connection between these deterministic motions and the corresponding space-time statistics drawn once the ergodicity is admitted. The simple flow behind a truncated base and confined by frictionless sidewalls is considered. The two-dimensional unsteady Navier–Stokes equations in the stream function form are replaced by their finite difference counterpart, using a centered difference scheme in both the space and time derivative and some artifices to secure numerical stability. Realizations are computed at a nominal Reynolds number referred to the base height of Re=300, 3000, and 300 000, for a duration of about T≃800 in reduced time. The one-point one-signal statistics, including probability density, time-correlation, power spectral density, are drawn from these realizations. The Re=300 case exhibits a von Karman vortex street pattern and its statistics are in perfect accordance with a periodic flow. At the two higher Reynolds numbers, the primary vortices break into secondary and higher order vortices. The probability density becomes more and more Gaussian, and, in the power spectrum, more and more energy is transferred from the Strouhal ray and its harmonics to other frequencies. The one-point two-signal statistics are also examined. In particular, the contribution of the successive moving vortices or eddies to the joint probability density of the velocity components u and v shows the way the Reynolds shear stress is generated. Other statistics will also be discussed. Despite the notorious inability of a discretized calculation to resolve the ever smaller scale motions at high Reynolds numbers, it is suggested that numerical simulation can cast light on turbulent processes, especially on those that make use of not readily measured variables. This work was supported by contract DRME 75/354.