A recent editorial in Science from Kai Simons evaluates the short comings of impact factors on journals and asks (rhetorically, I hope) why we even bother to care about impact factors at all.  It’s a lot of words written sort of boringly and you can read them here but the fundamental point Kai was making was that journals are hijacking the process by stuffing review articles into their pages which are natural bait for citations.  Is this good?  Blah.  Who gives a fuck.  That’s hardly interesting.

I was more interested in his rhetorical question – why it is that we care about impact factors.  You see, I’ve always loved scales and numbers and charts and figures.  When I was 15 someone purchased a copy of the 1996 World Factbook for me and, to every one’s horror, I had memorized most of it.  Numbers and rankings are all very fascinating to me, even when they’re attributed to something as prosaic as the annual production of rice by tonnage or total arable landmass by country.

I think most of us share this fascination with data and numbers and rankings.  Quantification is, after all, our business.  Thus is it surprising that we measure a scientist’s worth by his or her H index?   We simply measure everything. We measure so many things I wonder if many of the things we do measure should be measured in the first place.  Not out of any ethical concern, but because it’s so damn pseudo scientific.

I’ve struggled to properly attribute a quote, which I think was by Goethe but I could be mistaken, so I’ll paraphrase:  When one takes a phenomenon and attributes a scale to it, they invariably replace the beauty and nature of the phenomenon with the rigor and nature of the scale.

So it can be said about all these things – these numbers.  The truth is, when it comes to H index, impact factors, school rankings, and (especially) IQs, the scale that we so often use to quantify whatever it is we are measuring is far more limited in scope and concept than the object we are trying to measure.  In the end, we have attributed a number that is infinitely less significant and far less meaningful than what we were measuring in the first place!

To make the whole situation worse, the scale can be manipulated anyway.  As Kai pointed out, impact factors can be increased by fluffing a journal up with review articles.  H factors can be fluffed by gratuitous self citation.  School rankings, IQs and essentially any other “metric” associated with a measure more complex than total tonnage of rice produced by a given country can be manipulated by careful tweaking of the variables and parameters (even if it comes at the real expense of the quality of the item the scale was supposed to measure!).  What do you get?  You get a person, a journal or a department that is quantifiably the best at fucking with the outcome of a scale.