How many things can you get wrong on one chart?

Let’s count:

1. Truncate records that start ca. 1850 at an arbitrary starting point.
2. Calculate trends around a breakpoint cherry-picked to most favor your argument.
3. Abuse polynomial fits generally. (See this series.)
4. Report misleading linear trends by simply dropping the quadratic term.
5. Fail to notice the obvious: that temperature in the second period is, on average, higher than in the first.
6. Choose a loaded color scheme that emphasizes #5.
7. Fail to understand that temperature integrates CO2.
8. Fallacy of the single cause (only CO2 affects temperature – in good company with Burt Rutan).