I can't read your mind. What's your point with this graphic?^^^ And explain it. Why are warming and cooling cycles from 400000 years ago applicable to today?
Of cause it was
This one is hilarious. You show six data sets from satellites. Do you know where those observations were taken and what they mean?
I'll help you out. It is temperature anomoly of the mid-troposphere. Or about 5 miles up. Why do we even care about 5 miles up when thousands of surface temperature measurements tell us where we live is getting warmer? I wont spam you with the chart in my previous post which clearly shows without possible argument that the earth's surface is warming very rapidly as predicted by the amount of CO2 and other GHGs currently pumped into the atmosphere. But take a look because I'm not certain your memory retains anything for more than a few minutes.
Why bother to record atmospheric temperature 5 or miles out? It is good test of the model. It's not relevant to us, but it is a complex area of the atmosphere and helps those working to build an accurate model thresh out variables and help them improve on it.
Now, about the data he posted in this graph. Satellites are notoriously error prone when it comes to measuring temperature. To correctly measure temperature for comparison, the satellite must be in the same position each time. It must be moving at the same speed over time. This is not the case, satellites don't exactly trace the same orbit and they slow down over time. Also, satellites don't measure temperature directly, they measure microwave energy given off by oxygen and convert the data to temperature. Over the 30 years of satellite measurements, sensor tech changed so, each satellite produced different readings. In order to use the data properly, position, speed, error bias from each satellite has to be accounted for. Finally, the latitude makes a difference. The air above the tropics mixes more than than pole-ward latitudes. This also requires correction.
This is all to say that satellite data are horrible when trying to measure small changes. Look at the temperature scale.
At the farthest right, there is an error between satellite data and model predictions of 0.6 C. That's tiny. What's missing in the plot you pasted here are error estimates -- both for satellite and model error. I dare say that the two probably overlap, which is why your "expert" left them out.
So there you have it. Measurements taken at a location irrelevant to us -- probably the least reliable data set available -- posted without error estimates and very strange smoothing algorithm for the line representing model data. All wrapped up to look convincing and cast doubt on valid and earnest research.
In other words, fake science. The plot was designed to fool you, not inform.