Epicycle

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Financial cosmology
The JC’s guide to theoretical physics in the markets.™
An ad hoc hypothesis yesterday.
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In Ptolemaic and other geocentric astronomies, epicycles were necessary features of orbital trajectories. They were needed to explain the variations in speed and direction of the apparent motion of the Moon, Sun, and planets and the presupposition that they were all orbiting the earth, to explain the fact that they weren’t going round in circles like you would expect, but in weird, eccentric wobbly orbits.

In a nutshell the theory imagined epicycles to be little mini orbits around the large orbits each body was taking around the earth, and when that didn‘t quite fit either, even smaller mini-orbits around the mini orbits, around the main orbit. very twisty and turny, but still calculable.

Of course it later became apparent that the planets weren’t orbiting the Earth at all, but were prescribing simple, lazy ellipses around the sun.

Why mention this on a wiki largely devoted to complaining about modern legal practice in financial services? Because of its metaphorical power, of course. The existence of epicycles was classic “ad hoc hypothesis” — a desperate attempt to shore up a research programme that was otherwise in crisis, because no-one wants to give up a cosmological theory that has worked perfectly well for twelve centuries.

Similar things happen in all protected magisteria — paradigms, in Thomas Kuhn’s terminology —where an intellectual community has invested a good deal of time in constructing an entire ecosystem in which a given discipline can flourish. The moment you find some apparently falsifying data you do not assume the whole intellectual superstructure is shot: you are committed, intellectually and emotionally to it: you derive your status from it; probably your income too. Instead your first priority is to contextualise the errant data: check it, make sense of it; ensure it is correct and valid by reference to your own-built intellectual rules; and then build a narrative to explain the apparent anomaly — which as often as not will be “this data is irrelevant”.