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| Borges' library has been found! |
Processes of abstraction can also be fetishized for their own sake. The operations of markets, the intricacies of language, the back-and-forth of the political process, the elegance of algorithms, or the endless march of statistical analyses are all deep, deep rabbit holes from which many never return. There's a point at which every student of philosophy--having been convinced by philosopher after philosopher--decides that it impossible to determine who is right and resolves, if only for a short time, to study philosophy solely for the beauty of its systems. There's even a perverse pleasure in the counter-intuitive nature of abstract thought, such as learning that rent control makes rent higher or that work = 0 when something is moved a great distance before returning to its origin.
One of the most interesting characteristics of processes of abstraction are the ambiguities inherent in them. Since abstractions miss something real, they are always equivocations. This happens in language when we can't decide what to call something. Is Pluto a planet or an asteroid? In statistics, ambiguity appears in the form of studies that contradict each other. Are eggs good for you or not, for chrissake? Statistical analyses are objective and help us overcome the biases of our thought processes, such as when they show us the irrationality of our fear of flying, sharks, and home invasion. But it's easy to slice the world into irreconcilable parts when those parts are so small in comparison to the actual, ever-changing world. Scientists often can't reproduce the results of their experiments. This means that either 1) the laws or regularities of the world are not the same now as they were at the time of the experiment or 2) there is some variable which they have not accounted for. And there are always variables that are not accounted for.
With the growing trend of personal data collection, from activity tracking to sleep monitoring to mental acuity quantification, we will soon be able to analyze ourselves with ever greater scrutiny. If you want to know exactly how far you've run in the last five years, you can do that. Does this make you a better runner? That is not clear, but the trend is. We'll soon be able to use the data mining techniques that advertisers like Google created on ourselves. In some ways, this is exciting. What better way to know thyself than with objective data? Conquering ourselves may be the next frontier of the powers of abstraction. But this path will be fraught with even greater dangers of experience lost, fetishization, and ambiguity.






