Journal of Gambling Studies

, Volume 26, Issue 3, pp 401–420

Social and Psychological Challenges of Poker

Original Paper

Abstract

Poker is a competitive, social game of skill and luck, which presents players with numerous challenging strategic and interpersonal decisions. The adaptation of poker into a game played over the internet provides the unprecedented opportunity to quantitatively analyze extremely large numbers of hands and players. This paper analyzes roughly twenty-seven million hands played online in small-stakes, medium-stakes and high-stakes games. Using PokerTracker software, statistics are generated to (a) gauge the types of strategies utilized by players (i.e. the ‘strategic demography’) at each level and (b) examine the various payoffs associated with different strategies at varying levels of play. The results show that competitive edges attenuate as one moves up levels, and tight-aggressive strategies––which tend to be the most remunerative––become more prevalent. Further, payoffs for different combinations of cards, varies between levels, showing how strategic payoffs are derived from competitive interactions. Smaller-stakes players also have more difficulty appropriately weighting incentive structures with frequent small gains and occasional large losses. Consequently, the relationship between winning a large proportion of hands and profitability is negative, and is strongest in small-stakes games. These variations reveal a meta-game of rationality and psychology which underlies the card game. Adopting risk-neutrality to maximize expected value, aggression and appropriate mental accounting, are cognitive burdens on players, and underpin the rationality work––reconfiguring of personal preferences and goals––players engage into be competitive, and maximize their winning and profit chances.

Keywords

Poker Gambling Risk Uncertainty Competition Behavioral economics Strategy Economic sociology 

References

  1. Akerlof, G. A. (1970). The market for “lemons”: Quality uncertainty and the market mechanism. Quarterly Journal of Economics, 84(3), 488–500.CrossRefGoogle Scholar
  2. Billings, D., Davidson, A., Schaeffer, J., & Szafron, D. (2002). The challenge of poker. Artificial Intelligence, 134(1–2), 201–240.CrossRefGoogle Scholar
  3. Boyd, S. H. (1976). Poker playing as a dramaturgical event: Bull power, the meaning and commitment for efficacious gamesmanship. In D. F. Lancy & B. A. Tindall (Eds.), The study of play: Problems and prospects: Proceedings of the first annual meeting of the association for the anthropological study of play (pp. 123–130). West Point, NY: Leisure Press.Google Scholar
  4. Boyle, A. (2008). Poker-playing robots and more. Posted: Friday, July 11, 2008. Retrieved June 13, 2009, from http://cosmiclog.msnbc.msn.com/archive/2008/07/11/1195348.aspx.
  5. Browne, B. R. (1989). Going on tilt: Frequent poker players and control. Journal of Gambling Studies, 5(1), 3–21.CrossRefGoogle Scholar
  6. Brunson, D. (1979). Super/system: A course in power poker. New York: Cardoza.Google Scholar
  7. Caro, M. (2003). Caro’s book of poker tells. New York: Cardoza.Google Scholar
  8. Craig, M. (2005). The professor, the banker and the suicide king: Inside the richest poker game of all time. New York: Grand Central Publishing.Google Scholar
  9. Dalla, N. (2009). WSOP history––from Moss to Gold. http://www.wsop.com/wsop/history.asp.
  10. Dalla, N., & Alson, P. (2006). One of a kind: The rise and fall of Stuey “the kid” Ungar, the world’s greatest poker player. New York: Atria.Google Scholar
  11. Degeorge, F., & Zeckhauser, R. (1993). The reverse LBO decision and firm performance: Theory and evidence. The Journal of Finance, 48(4), 1323–1348.CrossRefGoogle Scholar
  12. DiMaggio, P. (2002). Endogenizing “animal spirits”: Toward a sociology of collective response to uncertainty and risk. In M. Guillen, R. Collins, P. England, & M. Meyer (Eds.), The new economic sociology (pp. 35–59). New York: Sage.Google Scholar
  13. Duke, A. (2006). How I raised, folded, bluffed, flirted, cursed, and won millions. New York: Plume.Google Scholar
  14. Elster, J. (1983). Sour grapes: Studies in the subversion of rationality. Cambridge: Cambridge University Press.Google Scholar
  15. Espeland, W. N., & Stevens, M. L. (1998). Commensuration as a social process. Annual Review of Sociology, 24, 313–331.Google Scholar
  16. Feinberg, R. A. (1986). Credit cards as spending facilitating stimuli: A conditioning interpretation. Journal of Consumer Research, 13(3), 348–356.CrossRefGoogle Scholar
  17. Gilovich, T., Vallone, R., & Tversky, A. (1985). The hot hand in basketball: On the misperception of random sequences. Cognitive Psychology, 17, 295–314.CrossRefGoogle Scholar
  18. Goffman, E. (1959). The presentation of self in everyday life. New York: Anchor Books.Google Scholar
  19. Gordon, P. (2005). Phil Gordon’s little green book: Lessons and teachings in no limit Texas Hold’em. New York: Simon Spotlight.Google Scholar
  20. Gray, L. N., & Tallman, I. (1987). Theories of choice: Contingent reward and punishment applications. Social Psychology Quarterly, 50(1), 16–23.CrossRefGoogle Scholar
  21. Greenstein, B. (2005). Ace on the river: An advanced poker guide. Fort Collins: Last Knight Publishing.Google Scholar
  22. Griffiths, M. D. (1990). The cognitive psychology of gambling. Journal of Gambling Studies, 6(1), 31–42.CrossRefGoogle Scholar
  23. Hanusa, E. (2006). Full house: Raising a family on poker. Slate. Retrieved June 3, 2006, from http://www.slate.com/id/2144866/.
  24. Harrington, D. (2004). Harrington on Hold’em (Vol I). Henderson, NV: Two Plus Two Publishing.Google Scholar
  25. Harsanyi, J. (1986). Advances in understanding rational behavior. In J. Elster (Ed.), Rational choice (pp. 82–105). New York: NYU Press.Google Scholar
  26. Hayano, D. M. (1982). Poker faces: The life and work of professional card players. Berkeley: University of California Press.Google Scholar
  27. Heider, F. (1958). The psychology of interpersonal relations. New York: Wiley.CrossRefGoogle Scholar
  28. Hochschild, A. (1983). The managed heart. Berkeley: University of California Press.Google Scholar
  29. Holden, A. (2005). Foreword in Winning low limit Hold’em, by Lee Jones. Pittsburgh: ConJelCo.Google Scholar
  30. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.CrossRefGoogle Scholar
  31. Keynes, J. M. (1936). The general theory of employment, interest and money. London: Macmillan.Google Scholar
  32. Knight, F. H. (1921). Risk, uncertainty and profit. Boston and New York: Kelley.Google Scholar
  33. Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: How difficulties in recognizing one’s own incompetence lead to inflated self-assessments. Journal of Personality and Social Psychology, 77(6), 1121–1134.CrossRefPubMedGoogle Scholar
  34. Malmuth, M. (1999). Gambling theory and other topics. Henderson, NV: Two Plus Two Publishing.Google Scholar
  35. Matros, M. (2005). The making of a poker player. New York: Lyle Stuart.Google Scholar
  36. Matusow, M., Calistri, A., & Lavalli, T. (2009). Check-raising the devil. Las Vegas: Cardoza Publishing.Google Scholar
  37. Mitrovic, D. V., & Brown, J. (2009). Poker mania and problem gambling: A study in distorted cognitions, motivation and alexithymia. Journal of Gambling Studies.Google Scholar
  38. Newsweek. (November 20, 2009). High stakes for online gamblers. Retrieved November 23, 2009, from http://blog.newsweek.com/blogs/thegaggle/archive/2009/11/20/high-stakes-for-online-gamblers.aspx.
  39. PokerTracker Strategy Guide. (2009). Aggression factor. Retrieved June 13, 2009, from http://www.pokertracker.com/products/PT3/docs/?doc=statref.
  40. Sally, D. (2000). I, too, sail past: Odysseus and the logic of self-control. Kyklos, 53(2), 173–200.CrossRefGoogle Scholar
  41. Schwartz, M. (2006, June 11). The Hold’em hold-up. New York Times Magazine.Google Scholar
  42. Sklansky, D. (2009). Poker, gaming and life (2nd ed). Henderson, NV: Two Plus Two Publishing.Google Scholar
  43. Sklansky, D., & Miller, E. (2006). No-limit Hold’em: Theory and practice. Henderson, NV: Two Plus Two Publishing.Google Scholar
  44. Spence, M. (1973). Job market signaling. Quarterly Journal of Economics, 87(3), 355–374.Google Scholar
  45. Taleb, N. N. (2004). Fooled by randomness. New York: Random House.Google Scholar
  46. Tallman, I., & Gray, L. N. (1990). Choices, decisions and problem solving. Annual Review of Sociology, 16, 405–433.Google Scholar
  47. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131.CrossRefPubMedGoogle Scholar
  48. von Neumann, J., & Morgenstern, O. (1944). Theory of games and economic behavior. Princeton: Princeton University Press.Google Scholar
  49. Zelizer, V. (1997). The social meaning of money. Princeton: Princeton University Press.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Department of SociologyCornell UniversityIthacaUSA

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