Ludic fallacy
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The Ludic fallacy is a term coined by Nassim Nicholas Taleb in his 2007 book The Black Swan. It comes from the Latin Ludic deriving from Latin ludus, "play." It is summarized as "the misuse of games to model real-life situations".[1] Taleb characterizes the fallacy as mistaking the map (model) for the reality (see map-territory relation), an inductive side-effect of human cognition.
It is a central argument in the book and rebuttal to predictive mathematical models used to predict the future --as well as an attack on the idea of applying naive and simplified statistical models in complex domains. According to Taleb, statistics only work in some domains like casinos in which the odds are visible and defined. Nassim’s argument centres on the idea that predictive models are based on platonified forms and gravitate towards mathematical purity and don’t take some key ideas into account:
- It is impossible to be in possession of ALL the information.
- The idea is that the smallest variation in any one variable could have a huge impact (a key concept in the butterfly effect), and it is impossible to take everything into account.
- Theories/models based on empirical data are flawed, as events that have not taken place before cannot be accounted for.
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[edit] Example
Example 1
One example given in the book is the thought experiment
There are two people:
- Dr John, who is regarded as a man of science and logical thinking.
- Fat Tony, who is regarded as a man who lives by his wits.
- A third party shows them a coin and explains that there is a 50/50 chance of the coin being flipped and coming up heads or tails, which is assumed to be true for the purposes of the thought experiment.
- The coin is then tossed 99 times and it comes up heads every time.
- The two people are both asked to give the odds of the coin coming up heads a 100th time.
- Dr John says that the odds are not affected by the previous outcomes so the odds must still be 50/50.
- Fat Tony says that the odds of the coin coming up heads 99 times in a row are so low (1: 633825300114114700748351602688) that the initial assumption that the coin had a 50/50 chance of coming up heads is most likely incorrect.
The ludic fallacy here is to assume that in real life the rules from the purely hypothetical model (where Dr John is correct) apply. Would you bet on black on a roulette table that has come up red 99 times in a row (especially as the reward for a correct guess are so low when compared with the probable odds that the game is fixed)?
Example 2
A man considers going to a job interview. The interviewee has already learned statistics and utility theory in college and performed well in the exams. Considering whether to take the interview, he tries to calculate the probability he will get the job versus the cost of the time spent. The young job seeker here forgets that real life is more complex than the theory of statistics. Even with a low probability of success, a really good job may be worth taking the interview. Will he enjoy the process of the interview? What strategic value might he win or lose in the process? Even the statistics of the job business are non-linear. What other jobs can come in the man's way by meeting the interviewer? May there be a possibility of a very high payoff in this company that he has not thought of?
[edit] Effects
This fallacy is a bit sinister because it has three intertwined consequences. It inhibits our understanding of the world, leaves us with the impression that we understand the world better, and exposes us to future unknown risk. By utilizing your colleague's analogy going forward, you don't understand that there could be a far greater or far lesser chance of making the train, but you think you know what your chances of making the train are, and in reality you now have a far greater or lesser chance of getting home on time. The future unknown risks involve the consequences of consistently getting home later than expected.
[edit] Relation to Platonicity
The Ludic Fallacy is a specific case of the more general problem of Platonicity defined by Taleb as:
- the focus on those pure, well-defined, and easily discernible objects like triangles, or more social notions like friendship or love, at the cost of ignoring those objects of seemingly messier and less tractable structures.
[edit] See also
- Platonicity
- Congruence bias
- Déformation professionnelle
- Focusing effect
- Hindsight bias
- List of cognitive biases
- Quasi-empiricism in mathematics
- Unknown unknown
[edit] References
- ^ Black Swans, the Ludic Fallacy and Wealth Management, François Sicart.
[edit] Further reading
- Slideshow lecture explaining ludic fallacy with clarity By Peter Taylor of Oxford University.
- The Ludic Fallacy. Chapter from the book "The Black Swan"
- Taleb, Nassim N. (2007). The Black Swan. Random House. ISBN 1-4000-6351-5.
- Medin, D. & Atran, S. (2004) The native mind: Biological categorization and reasoning in development and across cultures. Psychological Review.111, 960-98
- Fodor, J. (1983) Modularity of mind. Cambridge, MA: MIT Press.
- Tales of the Unexpected, Wilmott Magazine, June 2006, pp 30-36
- "A misplaced question". Taleb at Freakonomics blog