When we consume media one of the biases we often overlook is our own. When NPR created their Budget Hero commentors quicky stated things like "it's too liberal" and "they used right wing think tank as a *credible* source." Such statements reveal as much or more about the reader as they do about the media.
When you know a field better than most people producing media in your space it is easy to denounce everyone who knows less than you as being full of crap. Dr. E. Garcia, a brilliant Information Retreival scientist, makes a habbit out of roasting me because I have a more practical and less academic experience in the space.
While he feels my work is not up to his standards, the work he denounces helps people gain top rankings in Google and is getting free inbound links. Even better, I syndicated some free Creative Commons licensed content on latent semantic indexing called Patterns in Unstructured Data. Dr. Garcia thinks I know nothing about the topic, but when the original source went offline I started gaining citations as the source for that work too! Am I a leading expert on academic information retreival? No. I read some of Gerard Saltan's work, but my experience are more well aligned with finding the criteria necissary to rank in Google.
Web Designer Wall recently published an SEO guide for designers. In it they stated "Most people aim for a keyword density of 2%." I am not sure where they got that stat from, but generally the document was fairly well done and I am glad they cited me as a resource. I could be envious of the exposure their article got and try to rip it to shreds, but where is the benefit? Dr. E. Garcia flaming me generally does nothing but flow PageRank my way. So be it...you know you are doing something right when people hate you. ;)
Chris Anderson, famous for the Long Tail, recently had his long tail strategy ripped apart by the Harvard Business Review.
Chris does not mind though...he is already on to debunking the scientific method!
But faced with massive data, this approach to science — hypothesize, model, test — is becoming obsolete. ...
There is now a better way. Petabytes allow us to say: "Correlation is enough." We can stop looking for models. We can analyze the data without hypotheses about what it might show. We can throw the numbers into the biggest computing clusters the world has ever seen and let statistical algorithms find patterns where science cannot.
Mahalo offers virtually nothing original or of value, but it is worth more than most websites because Jason was good at making people angry. There is greater value in evoking emotions than being the person who's chain is jerked by people writing with the express intent of making you angry.
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