Climate change is very complex, and, consequentially, models predicting it need to take into account many different aspects, from wind patterns to plant and algal growth. One of the expected consequences of the changing climate is that some regions will be drier, while others will be subjected to higher rates of precipitation, which, up in the north, means more snow.

If you're anything more than an infrequent stumbler to Science 2.0, then you will probably have noticed - if not, read - Helen's article on geomagnetic polarity reversals, which until recently has been floating in the top articles list.

Whilst it's a gallant attempt to understand the ins and outs of an incredibly complex and poorly understood process, there are a number of misconceptions that I thought would be a good idea to clear up. It's clearly a topic of great interest, because there are over 400 comments on the article.

Before going into these misconceptions, though, let's start with...

BeautifulPeople.com, a dating and networking community which claims to be exclusively for good-looking people,  apparently has programming and security that was done by beautiful people rather than smart ones.  

30,000 ugly people recently invaded the site, bypassing the  "strict rating stage" where currently designated beautiful members decide the fate of new applicants.  The rating module was brought down last month, allowing anyone - regardless of looks(gasp!) - to be accepted. 

According to Karl Popper, there are two contexts at work when trying to understand science. One is called 'the context of discovery', the other 'context of justification'. In many ways all human cognitive activities share similar divisions; art for instance also tends to fall apart in discussions on the intrinsic qualities, the skills, and mastery of the craft on one side, and discussions on the meaning, the purpose, and the place of art in society on the other. Philosophy (of science) itself knows many discussions on the issues related to discovery (e.g.

Recently, research has been conducted to see if certain life-history traits could be correlated with DNA mutation rates. By using whole-genome sequence data for 32 species of mammal, the researchers tested the hypothesis that DNA mutation rates are influenced by species-specific life-history traits. These mutation rates were estimated by looking at the rate of substitutions of neutrally evolving DNA segments. 

This type of research could make it possible to infer life-history information of extinct species, providing that genomic data is present.

The research focused on three life-history traits.

1) Generation time