Scientists May Have Lied To Promote EPA’s Global Warming Agenda
Scientists may have lied about the EPA’s involvement in a recent study put out earlier this year claiming Obama administration regulations on carbon dioxide emissions will save thousands of lives every year.
Emails obtained by the blog JunkScience.com’s Steve Milloy show Harvard University and Syracuse University researchers involved in the study consulted with the EPA while conducting their study, contradicting their previous statements the study was done independently of the agency....
The 97% Cook Consensus – when will Environ Res Letters retract it?
...As Tol explains, the Cook et al paper used an unrepresentative sample, can’t be replicated, and leaves out many useful papers. The study was done by biased observers who disagreed with each other a third of the time, and disagree with the authors of those papers nearly two-thirds of the time. About 75% of the papers in the study were irrelevant in the first place, with nothing to say about the subject matter. Technically, we could call them “padding”. Cook himself has admitted data quality is low. He refused to release all his data, and even threatened legal action to hide it. (The university claimed it would breach a confidentiality agreement. But in reality, there was no agreement to breach.) As it happens, the data ended up being public anyhow. ...
...The hidden timestamps of raters revealed one person rated 675 abstracts in 72 hours, with much care and lots of rigor, I’m sure. It also showed that the same people collected data, analyzed results, collected more data, changed their classification system, and went on to collect even more data. This is a hopelessly unscientific process prone to subjective bias and breaches the most basic rules of experimental design. Tol found the observations changed with each round, so the changes were affecting the experiment. Normal scientists put forward a hypothesis, design an experiment, run it, and then analyze. When scientists juggle these steps, the results influence the testing. It’s a process someone might use if they wanted to tweak the experiment to get a specific outcome. We can’t know the motivations of researchers, but there is a reason good scientists don’t use this process....
@NOAA ‘s desperate new paper: Is there no global warming ‘hiatus’ after all?
...The significance level they report on their findings (.10) is hardly normative, and the use of it should prompt members of the scientific community to question the reasoning behind the use of such a lax standard.
In addition, the authors’ treatment of buoy sea-surface temperature (SST) data was guaranteed to create a warming trend. The data were adjusted upward by 0.12°C to make them “homogeneous” with the longer-running temperature records taken from engine intake channels in marine vessels.
As has been acknowledged by numerous scientists, the engine intake data are clearly contaminated by heat conduction from the structure, and as such, never intended for scientific use....
