Poker Player Behavior After Big Wins and Big Losses

Smith, Gary; Levere, Michael; Kurtzman, Robert

doi:10.1287/mnsc.1090.1044

Cited by 83 publications

(49 citation statements)

References 33 publications

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“…Overall, the results of these studies do not support earlier findings that Internet gambling is more addictive than land-based gambling [15,16,17,18,19,20,21,22,23,24,25,26]. Meanwhile, a growing body of research has focused on analyzing data sets of gambling accounts provided by various gambling operators [12,13,27,28]. …”

Section: Introductioncontrasting

confidence: 65%

Telecommunications Network Measurements of Online Gambling Behavior in Switzerland: A Feasibility Study

et al. 2017

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Background: Methodological shortcomings of gambling studies relying on self-report or on data sets derived from gambling operators tend to result in biased conclusions. The aim of this study was to analyze online gambling behavior using a novel network database approach. Methods: From October 13 to October 26, 2014, telecommunications network data from a major telecommunications provider in Switzerland were analyzed. Netflows between mobile devices and a poker operator were quantified to measure the gambling duration and session number. Results: Time spent gambling during night and working hours was compared between devices with longest (red group), intermediate (orange group), and shortest gambling time (green group). Online gambling behavior differed depending on overall gambling time, F (2, 3,143). Night and working hours gambling was the highest in the red group (53%), compared to the orange (50.1%) and the green groups (41.5%). Post hoc analyses indicated significant differences between the orange and green groups (p < 0.05). No differences were observed between the red and orange groups (p = 0.850), and the red and green groups (p = 0.053). Conclusions: On mobile devices, distinct gambling patterns were observed depending on the overall gambling time. This methodology could also be used to investigate online gaming, social media use, and online pornography.

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Section: Introductioncontrasting

confidence: 65%

Telecommunications Network Measurements of Online Gambling Behavior in Switzerland: A Feasibility Study

et al. 2017

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“…In an interesting study by Smith, Levere, and Kurtzman (2009), poker players were found to change their strategy after significant wins or losses. Big losses were followed by playing less cautiously, with players tending to be more aggressive compared to their behaviour after big wins.…”

Section: Introductionmentioning

confidence: 99%

Do ‘big losses’ in judgmental adjustments to statistical forecasts affect experts’ behaviour?

Petropoulos

Fildes

Goodwin

2016

European Journal of Operational Research

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a b s t r a c tThe behaviour of poker players and sports gamblers has been shown to change after winning or losing a significant amount of money on a single hand. In this paper, we explore whether there are changes in experts' behaviour when performing judgmental adjustments to statistical forecasts and, in particular, examine the impact of 'big losses'. We define a big loss as a judgmental adjustment that significantly decreases the forecasting accuracy compared to the baseline statistical forecast. In essence, big losses are directly linked with wrong direction or highly overshooting judgmental overrides. Using relevant behavioural theories, we empirically examine the effect of such big losses on subsequent judgmental adjustments exploiting a large multinational data set containing statistical forecasts of demand for pharmaceutical products, expert adjustments and actual sales. We then discuss the implications of our findings for the effective design of forecasting support systems, focusing on the aspects of guidance and restrictiveness.

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“…By electronically tracking and recording gambling behaviour, researchers non-intrusively obtain data from large gambling populations. Several gambling studies have now utilized account-based player gambling data (Leino et al, 2014;Ma, Kim, & Kim, 2014;Narayanan & Manchanda, 2012;Smith, Levere, & Kurtzman, 2009). Through the use of account-based gambling data, it has been found that gambling behaviour is associated with structural game characteristics (Leino et al, 2014), immediate and long-term gains and losses (Ma et al, 2014;Narayanan & Manchanda, 2012), subsequent gambling style after big wins and losses (Smith et al, 2009) and the decision to close a gambling account due to gambling-related problems (Xuan & Shaffer, 2009).…”

Section: Introductionmentioning

confidence: 99%

An empirical real-world study of losses disguised as wins in electronic gaming machines

Leino

Torsheim

Pallesen

et al. 2016

International Gambling Studies

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Losses disguised as wins (LDWs) appear to reinforce gambling persistence. However, little research has examined this phenomenon with real gamblers in natural gambling settings. We aimed to examine the relationship between within-session outcome size and subsequent gambling persistence. Account-based gambling data of individuals playing LDW games over a randomly selected day (2,035,339 bets made by 8636 individuals) was examined. We used a logistic mixed effects model to examine the relationship between the outcome of the previous bet (loss, LDW and real wins) and the odds of continuing betting in a game session. The odds of continuing betting in a game session were positively associated with the outcome of the previous bet. Compared to LDWs, losses lowered the odds of continuing a game session. In contrast, real wins implied greater odds of continuing a game session compared to LDWs. It is concluded that LDWs increase the likelihood of continuing betting compared to losses, but decrease the likelihood of continuing to gamble compared to real wins. As LDWs increase the number of bets made within a gambling session, and hence within-session gambling persistence, LDWs may potentially play an etiological role in the development of gambling problems over time.

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Poker Player Behavior After Big Wins and Big Losses

Cited by 83 publications

References 33 publications

Telecommunications Network Measurements of Online Gambling Behavior in Switzerland: A Feasibility Study

Telecommunications Network Measurements of Online Gambling Behavior in Switzerland: A Feasibility Study

Do ‘big losses’ in judgmental adjustments to statistical forecasts affect experts’ behaviour?

An empirical real-world study of losses disguised as wins in electronic gaming machines

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