A Green Degree

This blog intends to bring a new perspective on all things 'green' and sustainable, covering (mostly) energy, politics, the economy & more, what I feel as the most pressing concerns we face. In short, sustainability needs to progress & become the social everyday. That's my passion, and our solution. Screw business as usual people!













    Join our Mailing List

May 7th 2012

Reblogged from climate-changing|10 notes |#

the-mighty-ribozyme:

How Science Connects the Dots: Global Warming Didn’t Stop in 1998

This article points out the difference between short-term and long-term trends, a point that is often lost to climate change deniers.

This is a brilliant example of the worrisome practice of picking and choosing your data and trends to suit your preconceptions. No doubt it’s been carried out by many a fossil fuel lobby, with the largest oil and coal industry leaders by now so used to this process it’s like second nature to them. 

What it does highlight however is some of the major problems that trendline statistics can garner; any one section of point of data can easily skew the trend in a completely new way, and taking a trend of the entire set is not always the best option (although in this case it most certainly is), so caution has to be taken.

Believe me, I’ve come across these issues in my dissertation this year, and they’re real head-scratchers sometimes!

Posted at 1:07pm and tagged with: stats, data, climate, change, graphs, science, warming, planet, pollution, emission, carbon,.

the-mighty-ribozyme: How Science Connects the Dots: Global Warming Didn’t Stop in 1998 This article points out the difference between short-term and long-term trends, a point that is often lost to climate change deniers. This is a brilliant example of the worrisome practice of picking and choosing your data and trends to suit your preconceptions. No doubt it’s been carried out by many a fossil fuel lobby, with the largest oil and coal industry leaders by now so used to this process it’s like second nature to them.  What it does highlight however is some of the major problems that trendline statistics can garner; any one section of point of data can easily skew the trend in a completely new way, and taking a trend of the entire set is not always the best option (although in this case it most certainly is), so caution has to be taken. Believe me, I’ve come across these issues in my dissertation this year, and they’re real head-scratchers sometimes!
  1. douglasbarnes reblogged this from climate-changing and added:
    Of course, deniers are not interested in what the data says. For them it is an emotional issue.
  2. thedevilanddeepbluesea reblogged this from climate-changing
  3. climate-changing reblogged this from the-mighty-ribozyme
  4. the-mighty-ribozyme posted this

Notes: