Patterns & Superstitions

The idea for this essay came to me when a friend of mine related a funny incident to me. He was trying to teach an elderly person how to use the internet to see news videos. My friend directed the elderly gentleman to the BBC website. Then he asked him to click on a link to a video (which, by the way, said “click here”). The video window appeared. Then the “loading” graphics, which looks like something like this, appeared on screen. The elderly gentleman assumed that, since he had to click on the icon that said “click here”, he is supposed to move the mouse pointer along with the revolving graphics for the video to load. So he did that, and coincidently, whenever he tried doing so and stopped, the buffer would fill up and the video would play!

Correlation & causation

The incident is funny to us because we realize that the correlation between the elderly gentleman’s mouse gestures and the video buffering is spurious. We also realize that one does not cause another. In other words, we clearly understand that, in this case, correlation does not imply any causation.1 Any confusion between the two can be a genesis of a new superstition.

We are exceedingly good pattern recognizers! We see them everywhere. We see faces in clouds, letters in tree barks and whatnot. Not to say that this is bad, though: all our accumulated knowledge is mostly about patterns, how things & people behave.

So why is it we tend to overgeneralize and find more patterns than there seem to be? Why do we develop superstitions? Why do we mistake correlation for causation? After all, it is not very rational, for it is true that small correlation exists between almost any two sets of data.

One poignant example of this is in the stock market where we rely so much on patterns to help us make money. The commentary for Ben Graham’s “The intelligent investor” succinctly warned us of perils of doing so :

If you look at a large quantity of data long enough, a huge number of patterns will emerge—if only by chance. By random luck alone, the companies that produce above-average stock returns will have plenty of things in common. But unless those factors cause the stocks to outperform, they can’t be used to predict future returns.2

Wired to be superstitious

Research seems to suggest that we are wired to be an overgeneralizing, superstitious species. 3 The idea is surprisingly simple. Pardon my use of a simplistic analogy to demonstrate the logic. Imagine there are two people, one who overgeneralizes and sees a lion in the grass when there is none and another who doesn’t overgeneralize and sees a lion only when it is truly staring down at him. It is more likely that the former will survive to reproduce than the latter. Hence, over the eons, we have evolved to overgeneralize.

Science to rescue

While it may be true that being superstitious is better when the there is a large cost for missing something with a relatively small cost of getting it wrong4, in our current lifestyles as comfortable denizens of concrete jungles trying to live off the gullibility of others, superstition is more of a hindrance. How do we go about reducing its effect?

I think we can do so by using scientific method, in general. The beliefs we want to adopt should be falsifiable.5 We need to test those beliefs in a strictly empirical (observation and experiments) and skeptical (with proper controls6 ) fashion to ascertain their validity.

Philosophical underpinnings

The philosophical underpinning of the whole argument, however, rests on a principle called Occam’s razor. It is a principle of parsimony which can be simply stated as “when you have two competing theories that make exactly the same predictions, the simpler one is the better” or as Einstein is often quoted “Everything should be made as simple as possible, but not simpler”.7 I’d like to conclude with a question to my readers. What makes Occam’s razor tenable?

References & Footnotes
  1. The confusion between the two, however, is very common. Check out the Cambridge 2000 memos page on Correlation and Causation to see how much the issue confounds you. []
  2. Commentary on chapter 1, pp45, The intelligent investor, Ben Graham, Commentary by Jason Zweig. []
  3. Foster, Kevin R., and Hannah Kokko. 2008. “The Evolution of Superstitious and Superstition-like Behaviour.” Proceedings of the Royal Society of London, Series B. []
  4. This argument is the same as Pascal’s wager, by the way. Pascal’s wager states that since the cost of not believing in God is infinitely higher (an eternity in hell) than the cost of falsely believing (some wasted rituals, perhaps) one should always try to believe in God. An exhaustive treatment of the idea can be found here:  Pascal’s Wager, First published Sat May 2, 1998; substantive revision Wed Jun 4, 2008, Stanford Encyclopedia of Philosophy []
  5. Karl Popper, regarded as one of the greatest philosophers of science, held that falsifiability, i.e., whether a theory can be shown wrong with evidence and observations, as the criterion for demarcating science from non-science. A theory which is compatible with all possible observations is, by definition, unscientific. You can read more about Sir Karl Popper at the following page:  Karl Popper, First published Thu Nov 13, 1997; substantive revision Mon Feb 9, 2009, Stanford Encyclopedia of Philosophy. []
  6. A control in a scientific experiment is something that is held constant to provide base values to compare observed experimental data against. Here is the dreaded Wikipedia link where you can read more about this: []
  7. Much better treatment of the idea than mine can be found here: What is Occam’s Razor? Updated 1997 by Sugihara Hiroshi, original by Phil Gibbs 1996, physics FAQ. []

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2 thoughts on “Patterns & Superstitions

  1. Hi rajesh,

    i was looking for some web content on superstitions and i found your blog quite interesting. Or rather i should say its brilliant. As this is related to my theses work, can i get in touch with you regarding the related issues. will be great if you can help me in this.

    Plz let me know when is the right time to talk to you.

    Thanks and Regards,

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