- Ludic fallacy
The ludic fallacy is a term coined by
Nassim Nicholas Talebin his 2007 book "The Black Swan". ' Ludic' is from the Latin "ludus", meaning 'play'. It is summarized as "the misuse of games to model real-life situations". [ [http://www.tocqueville.com/article/show/204 "Black Swans, the Ludic Fallacy and Wealth Management"] , François Sicart.] 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 a rebuttal of the 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, gravitating towards mathematical purity and failing to take some key ideas into account:
* It is impossible to be in possession of all the information.
* Very small unknown variations in the data could have a huge impact (the
* Theories/models based on empirical data are flawed, as events that have not taken place before cannot be accounted for.
One example given in the book is the following
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 a reasonable person bet on black on a
roulettetable 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)?
A man considers going to a
job interview. The interviewee has already learned statisticsand utilitytheory in college and performed well in the exams. Considering whether to take the interview, he tries to calculate the probabilityhe 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 for. 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 could come the man's way by meeting the interviewer? Might there be a possibility of a very high payoff in this company that he has not thought of?
Relation to Platonicity
The Ludic Fallacy is a specific case of the more general problem of
Platonicitydefined 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."
List of cognitive biases
Quasi-empiricism in mathematics
* [http://www.fhi.ox.ac.uk/teaching%20and%20posters/MT07/LudicFallacy.ppt Slideshow lecture explaining ludic fallacy with clarity By Peter Taylor of Oxford University] .
* [http://www.fooledbyrandomness.com/LudicFallacy.pdf The Ludic Fallacy. Chapter from the book "The Black Swan"]
author=Taleb, Nassim N.
title=The Black Swan
*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.
* [http://www.fooledbyrandomness.com/0603_coverstory.pdf Tales of the Unexpected, Wilmott Magazine, June 2006, pp 30-36]
* [http://freakonomics.blogs.nytimes.com/2007/08/09/freakonomics-quorum-the-economics-of-street-charity/ "A misplaced question". Taleb at Freakonomics blog]
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