Lindy effect

The Lindy effect is a theory of the life expectancy of non-perishable things that posits for a certain class of nonperishables, like a technology or an idea, every additional day may imply a longer (remaining) life expectancy:[1] the mortality rate decreases with time. This contrasts with living creatures and mechanical things, which instead follow a bathtub curve, where every additional day in its life translates into a shorter additional life expectancy (though longer overall life expectancy, due to surviving this far): after childhood, the mortality rate increases with time. Because life expectancy is probabilistically derived, a thing may become extinct before its "expected" survival. In other words, one needs to gauge both the age and "health" of the thing to determine continued survival.

Origin

The origin of the term and idea can be traced to Albert Goldman and a 1964 article he had written in The New Republic titled "Lindy's Law'.[2] In it he stated that "the future career expectations of a television comedian is proportional to the total amount of his past exposure on the medium". The term Lindy refers to the NY Deli Lindy's where comedians "foregather every night at Lindy's, where... they conduct post-mortems on recent show biz "action".[3] Benoit Mandelbrot formally coined the term Lindy Effect in his 1984 Book The Fractal Geometry of Nature.[4] Mandelbrot expressed mathematically that for certain things bounded by the life of the producer, like human promise, future life expectancy is proportional to the past. He references Lindy's Law and a parable of the young poets’ cemetery and then applies to researchers and their publications: “However long a person’s past collected works, it will on the average continue for an equal additional amount. When it eventually stops, it breaks off at precisely half of its promise.“

Nassim Taleb furthered the idea in the The Black Swan: The Impact of the Highly Improbable by extending to a certain class of nonperishables where life expectancy can be expressed as Power laws.

With human projects and ventures we have another story. These are often scalable, as I said in Chapter 3. With scalable variables… you will witness the exact opposite effect. Let's say a project is expected to terminate in 79 days, the same expectation in days as the newborn female has in years. On the 79th day, if the project is not finished, it will be expected to take another 25 days to complete. But on the 90th day, if the project is still not completed, it should have about 58 days to go. On the 100th, it should have 89 days to go. On the 119th, it should have an extra 149 days. On day 600, if the project is not done, you will be expected to need an extra 1,590 days. As you see, the longer you wait, the longer you will be expected to wait [5]

In Taleb's book Antifragile: Things That Gain from Disorder he for the first time explicitly referred to his idea as the Lindy Effect, removed the bounds of the life of the producer to include anything that doesn't have a natural upper bounds and incorporated it into his broader theory of the Antifragile.

If a book has been in print for forty years, I can expect it to be in print for another forty years. But, and that is the main difference, if it survives another decade, then it will be expected to be in print another fifty years. This, simply, as a rule, tells you why things that have been around for a long time are not “aging” like persons, but “aging” in reverse. Every year that passes without extinction doubles the additional life expectancy. This is an indicator of some robustness. The robustness of an item is proportional to its life! [6]

Mandelbrot agreed with Taleb's expanded definition of the Lindy Effect: "[Taleb] suggested the boundary perishable/nonperishable and he [Mandelbrot] agreed that the nonperishable would be powerlaw distributed while the perishable (the initial Lindy story) worked as a mere metaphor."[7]

The Lindy effect is a more general form of the later Copernican principle, in the sense the generalized Doomsday argument by J. Richard Gott.[8] This states that the future life expectancy is equal to the current age, not simply proportional, and is based on a simpler argument that, barring additional evidence, something is halfway through its life span.

Usage

The Lindy Effect "... allows us to figure out how time and things work without quite getting inside the complexity of time’s mind. Time is scientifically equivalent to disorder, and things that gain from disorder are what this author [Taleb] calls “antifragile.”" [9] So things that have been in existence for a long period of time can be considered more robust/antifragile (i.e., more likely to continue to survive) than new things that haven't passed the test of time. Given this, the Lindy Effect can be used to distinguish random survivors from non-random survivors and gauge the fragility of a thing which provides information that can help with decision making. For example:

Related adages

See also

References

  1. Nassim Nicholas Taleb (2012). Antifragile: Things That Gain from Disorder. Random House. ISBN 9781400067824.
  2. http://connection.ebscohost.com/c/articles/10066789/television-lindys-law
  3. http://web.ebscohost.com/ehost/pdfviewer/pdfviewer?sid=b4b28db8-3c3c-4414-8b27-2cae7b0f42ca%40sessionmgr10&vid=7&hid=126
  4. Mandelbrot, B.B (1984). The fractal geometry of Nature. Freeman. p. 342. ISBN 9780716711865.
  5. Nassim Nicholas Taleb (2007). The Black Swan: The Impact of the Highly Improbable. Random House. p. 159. ISBN 9781588365835.
  6. Nassim Nicholas Taleb (2012). Antifragile: Things That Gain from Disorder. Random House. ISBN 9780679645276.
  7. Taleb, Nassim Nicholas (2012-11-27). "Antifragile: Things That Gain from Disorder". ISBN 9780679645276.
  8. Predicting Future Lifespan: The Lindy Effect, Gott's Predictions and Caves' Corrections, and Confidence Intervals, Colman Humphrey
  9. http://www.wired.com/opinion/2012/12/worlds-not-ending-but-technologys-aging-backwards/ The Surprising Truth: Technology Is Aging in Reverse Wired Magazine, Dec 2012
  10. Marjanovic, Boris. "An (Old) Way To Pick (New) Stocks". Seeking Alpha. Retrieved 27 January 2016.

External links

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