with the help of the new, pedagogical "H model". Both deterministic General Circulation Models (GCM's) with fixed forcings ("control runs") and stochastic turbulencebased models reproduce weather and macroweather, but not the climate; for this we require "climate forcings" and/ or new slow climate processes. Averaging macroweather over periods increasing to ≈30-50 yrs yields apparently converging values: macroweather is "what you expect". Macroweather averages over ≈30-50 yrs have the lowest variability, they yield well defined climate states and justify the otherwise ad hoc "climate normal" period. However, moving to longer periods, these states increasingly fluctuate: just as with the weather, the climate changes in an apparently unstable manner; the climate is not what you expect. Moving to time scales beyond 100 kyrs, to the macroclimate regime, we find that averaging the varying climate increasingly converges, but ultimately-at scales beyond ≈0.5 Myr in the megaclimate, we discover that the apparent point of convergence itself starts to "wander", presumably representing shifts from one climate to another.