Out of curiosity, what exactly makes "evil" a separate coloration from something like Black or Red, from a biological standpoint?
Sincerely,
John "Concerned Onlooker" Jimbles
"Evil" was added as a category of colorblogs after we began observing several colorblogs pop up with what we have been referring to as the "evil" mutation. This name, however, does not seem to imply anything about the morality or behavior of these blogs as they do not appear to be any more aggressive or dangerous than, say, a purple colorblog.
Although they share a lot of things in common with most other colorblogs, evil colorblogs are still quite interesting as they appear to have a quite high rate of referential relationships to other colorblogs while simultaneously being a complete contradiction to their source parent. You can think of them like mirror images: the equal but opposite.
The first documented evil colorblog was @evil-retep which highlights this phenomena quite well. It spawned as both a reproduction and a complete inverse of @redmarge. Marge (the mother-figure of The Simpsons) versus Peter (the father-figure of Family Guy). Red (the color famously known as having more positive connotations than negative) versus evil (entirely negative). The relationship between their source materials also says a lot about the relationship between these blogs as one would not exist without the other.
There is also the fact that "Peter" in @evil-retep's name is inverted which makes me question if there is another layer to this. Is Marge Simpson the inverse of Peter Griffin? If so, is Retep, the inverse of Peter, potentially another version of Marge? Does this mean that @evilredmarge is connected to Peter? Much to think about...
We have currently only documented five instances of "evil" colorblogs, however we did recently discover a "morally ambiguous" colorblog so we might have to change some of our terminology.
Apologies if any of this is worded a bit vaguely. Much of our research is still ongoing and our data on evil colorblogs is a bit limited due to our small sample size.
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