William M. Briggs, Statistician, is one of the outstanding technical blogs on the internet today. As indicated by the sub-title, â€œAll manner of statistical analyses cheerfully undertakenâ€, it occupies a similar niche to Niche Modeling, recognizing and filling a felt need for basic statistical analysis of everyday events. The posts are often illustrated by programming in R code, providing a wonderful introduction to programming in R for statistics. The subjects range from global warming to clinical trials. As writing, the posts are literary, fluid and print-ready. In particular, W.M. Briggs is master of the arresting opening sentence, essential in a surfing medium. Here are some notable examples.
Says Paul Krugman, a writer for a local New York paper, “The only way weâ€™re going to get action, Iâ€™d suggest, is if those who stand in the way of action come to be perceived as not just wrong but immoral.” He means â€œactionâ€ on man-made global warming. From Wrong -> Immoral -> Illegal?
The other day, as a favor, I posted a scientific article from a friend of mine, Dr H. Harrister, PhD, who conclusively showed that fitter people have larger carbon footprints than do fatter people. From Stop making babies to reduce global warming
Hereâ€™s the problem. You are a scientist, working on measuring the levels of aragonite in ocean water. Itâ€™s not very sexy and nobody beyond a small cadre seems to care. But itâ€™s grant time and you and your team are â€œfiguring out how to make the issue more potentâ€ so that you can bring in the bucks. From At least theyâ€™re admitting it.
It is an understatement to say that there has been a lot of attention to the relationship of temperature and CO2. Two broad hypotheses are advanced: (Hypothesis 1) As more CO2 is added to the air, through radiative effects, the temperature later rises; and (Hypothesis 2) As temperature increases, through ocean-chemical and biological effects, CO2 is later added to the atmosphere. From CO2 and Temperature: which predicts which?
Much is made of the fact that these various GCMs show rough agreement with each other. People have the sense that, since so many â€œdifferentâ€ GCMs agree, we should have more confidence that what they say is true. Today I will discuss why this view is false. From Why multiple climate model agreement is not that exciting.
My friends, I need your help. From Quantifying uncertainty in AGW.
I often sayâ€”it is even the main theme of this blogâ€”that people are too certain. You cannot measure a mean.
I am one of the scientists that attended the recent Heartland Climate Conference in Manhattan, where I live. It is my belief that the strident and frequent claims of catastrophes caused by man-made global warming are stated with a degree of confidence not warranted by the data. From Heartland Climate Conference Summary.