Internet Math Applied to Video and Social Networks

One of the things I enjoy doing is reverse engineering bogus numbers thrown around by supposed 'experts' or start ups.  Online advertising is so accountable and data is so prevalent that these wild claims are not to hard to call BS on.  It seems that others enjoy this as much as me...here are 2 great examples:

VideoNuze published a very insightful breakdown of instream video advertising revenues on the web and points out some major holes in analyst forecasts.  According to Mugs's math, YouTube (34% of total web video views) can only deliver about $22.6M worth of instream ads this year and the big four broadcast networks won't break $120M combined.  Analysts have predicted up to $1.3B in online video revenue...so where is the rest of the $1.16B coming from?  Conclusion: analysts full of crap.

On another note, Mashable invents the Screw You Coefficient used by social networks to determine if a new feature should be launched or not.

It totally works.  Check out the post for more details.