"Tina Porter, 26. She's what you need for the transpacific trade issues you just mentioned, Alan. Her dissertation speaks for itself, she even learned Korean..." He pauses.Of course, if employers (and health insurance companies and the police and organised criminals and advertising firms and psychotic stalkers) can data-mine a tendency to get migraines from the fluctuation of the vocabulary of one's posts, one might suggest that those with a healthy amount of paranoia should avoid social media altogether, beyond having a simple static page that gives away absolutely nothing. Except that not having an active social media profile is increasingly seen as suspicious in itself; if you're not tweeting your TV viewing or Instagramming your sandwiches and leaving a statistically normal trail of well-adjusted narcissistic exhibitionism, there's a nonzero probability that you might be the next Unabomber; and, in any case, the HR department who knocked Tina Porter back for her carefully concealed migraines would certainly not even look at the CV of the potential ticking timebomb whose online profile draws a blank.
"But?..." Asks the HR guy.
"She's afflicted with acute migraine. It occurs at least a couple of times a month. She's good at concealing it, but our data shows it could be a problem," Chen says.
"How the hell do you know that?"
"Well, she falls into this particular Health Cluster. In her Facebook babbling, she sometimes refers to a spike in her olfactory sensitivity – a known precursor to a migraine crisis. In addition, each time, for a period of several days, we see a slight drop in the number of words she uses in her posts, her vocabulary shrinks a bit, and her tweets, usually sharp, become less frequent and more nebulous. That's an obvious pattern for people suffering from serious migraine. In addition, the Zeo Sleeping Manager website and the stress management site HeartMath – both now connected with Facebook – suggest she suffers from insomnia. In other words, Alan, we think you can't take Ms Porter in the firm. Our Predictive Workforce Expenditure Model shows that she will cost you at least 15% more in lost productivity."
So, if this sort of thing comes to pass (and whether that sort of data could be extracted from social data with few enough false positives to be useful is a big if), we may eventually see an age of radical transparency, where everyone knows who's likely to be marginally more or less productive, along with possible laws regulating when this may be taken into account. Either that or the evolution of Gattaca-style systems and techniques for chaffing one's social data trail and masking any deficiencies which it may betray, in an ever-escalating arms race with new analytical techniques designed to detect such gaming.