Hansen also dismisses what had previously been the substantial relative warmth of 1934 over 1998 in the rankings of temperatures in an email to Bloomberg journalist Demian McLean on August 14, 2007:
In our 2001 paper we found 1934 slightly warmer, by an insignificant hair over, 1998.
But in fact that paper declared 1934 to be a whopping half a degree warmer than 1998. This couldn’t, and didn’t, last.
In an August 9, 2007, email from Ruedy to Hansen, Ruedy suggests an alternative method of bringing their data in line — internally, at least — which would cool the claimed twentieth century warming of under a degree by nearly one-third of that (0.3C). This suggestion was repeated by Ruedy the same day in an email to Gavin Schmidt. Both missives revealed NASA’s new preferred tactic of not emphasizing the impact of U.S. temperatures in favor of emphasizing global temperatures, in order to diminish the importance of their U.S. temperature problem. This reveals a bias towards advocacy and activism as opposed to objective science, a highly questionable practice for a taxpayer-funded science office staffed with career employees.
Hansen emailed Times reporter Revkin on August 9, 2007:
[In fact] it is unclear why anyone would try to make something out of [the differences], perhaps not a light on upstairs?
This perspective ignores how Hansen’s office had for years aggressively made quite a lot out of such differences, smaller ones, in fact. Now, when caught overstating the warming, changing and even losing historical data, he claims the differences are immaterial — and only someone not possessing full mental faculties would try to do such a thing as Hansen’s office had long done, with much smaller anomalies. Because those earlier, smaller anomalies were in support of the desired warming and related agenda that requires there to be warming.
Ruedy also spun for Revkin, trying to diminishing the magnitude of Hansen’s error:
To be remarkable, an observed change has to be a multiple of that standard deviation; compared to that, the errors caused by “bad” stations, urban heat island effect, etc., are of little importance.
Here we see how one can learn, and even grow, on the job.