Comment Re:All the observed data is perfectly normal (Score 0) 130
Thank you for your comment. Please note that in a former career I was an astrophysicist publishing papers. When I was an Honours students I knew some of the best students faked their data for research reports (sure, the stakes were low, but it showed me that even some very good people do not possess the same ethics that you and I share - where it is unthinkable to be anything other than brutally honest).
Medical science is no stranger to fraud:
http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0020124
I might add that much of political "science" and social "science" are naught but obfuscation and fraud (I jest - kind of).
The claim that they're faking things to keep the grants coming is not credible
Really? I find your dismissal not credible. Working on acquiring and renewing grants takes up a significant part of any working researchers time. Missing out on too many grants means yourself and associates can miss many opportunities to continue your research (which is the thing you actually care about). Therefore, if you have to place emphasis some interpretation that sounds good to a grant committee then you'll do it.
Most scientists are more ethical than the average Joe. However, science has its fair share of charlatans, and a great deal more who don't intend to mislead but simply have an incorrect interpretation they they will defend *despite* the presence of contrary facts.
The site I referenced points out some of those scientists that selectively remove some data points. Without the data points you get Global Warming. Leave the data points in and you get normal variability. I'm not asking you to take my word for it (basing arguments solely on presumed authority should be avoided) - I suggest you review the evidence presented at that linked site, specifically the articles that show the data sets before and after James Hansen and Michael Mann adjusted them. Then you can make up your own mind as to whether the editing was 'creative' to reinforce a theory, or legitimate to remove outliers (always a dodgy thing to do without evidence of instrument or system malfunction; most of the time outliers should be left in an a robust fitting method used instead, such as 'least sum of squares' rather than the usual 'least squares' that has no robustness [is always skewed by outliers]).
I stand by my statement as a former research scientist. Science is not about consensus, it is about finding theories that match the observed facts (*all* the observations, not just the 'convenient' ones).