Cognitive biases and their role in gambling addiction

Cognitive biases are errors in thinking that distort perceptions and judgements, often leading individuals to make decisions that do not align with reality. These mental shortcuts or distortions play a significant role in gambling addiction by influencing how gamblers perceive their chances of winning and their control over outcomes.

Common cognitive biases in gambling behaviour

• Illusion of control - Gamblers often believe they can influence outcomes through skill, even when results are purely based on chance, fostering unrealistic expectations of success.
• Representative bias - Gamblers assume random events should appear random, for instance, believing that after several 'heads' in a coin toss, 'tails' becomes more likely.
• Gambler's fallacy - Many gamblers think a win is more probable after a series of losses, mistakenly believing that past events affect future probabilities.
• Illusory correlations - Superstitions, such as blowing on dice for a specific number, are common among gamblers who believe these actions impact results.
• Fixation on absolute frequency of successes - Frequent gambling leads to recalling numerous wins, creating a misleading impression of frequent success despite overall losses.
• Sunk cost bias - Having invested significant money, gamblers feel compelled to continue in the hope of recovering losses, fearing they might miss out on a potential win.

Evidence supporting cognitive biases in gambling behaviour

Research provides substantial evidence that cognitive biases significantly influence gambling behaviour, particularly among regular gamblers.

Griffiths (1994) study on fruit machine gambling

• Method:
  • A field study involved 30 occasional and 30 regular fruit machine gamblers, each given £3 for 30 gambles.
  • Participants were encouraged to reach at least 60 gambles, with the option to keep winnings or continue if they succeeded.
  • They were asked to verbalise their thoughts during the task, while their total gambles, winnings, and outcomes were recorded.
• Results:
  • Regular gamblers were more likely to reach 60 gambles and often played until they lost everything.
  • Some objected to using the chosen fruit machine.
  • Regular gamblers made more irrational verbalisations, such as speaking to the machine as if it had personality (e.g., "the machine likes me") and describing losses as 'near misses' or 'near wins'.
  • Post-study interviews revealed regular gamblers viewed themselves as more skilled than occasional players.
• Conclusions:
  • The study supports the presence of cognitive biases like the illusion of control, evident in objections to using an unfamiliar machine, suggesting familiarity boosts winning chances.
  • Irrational verbalisations indicate a disconnect from reality in their gambling approach.
• Evaluation:
  • Conducted in a natural setting, the study has high ecological validity, reflecting real gambling environments.
  • However, extraneous variables could have influenced results due to lack of control.
  • Only one regular gambler was female, potentially limiting generalisability.
  • Thinking aloud might also have altered natural thought processes, affecting validity.

Strengths and weaknesses of the cognitive theory of gambling

The cognitive theory provides a framework for understanding gambling addiction through distorted thinking patterns, but it has both strengths and weaknesses in explaining this complex behaviour.

Strengths of the cognitive theory

• Empirical support - Research like Griffiths (1994) demonstrates clear differences in cognitive processing between regular and occasional gamblers, highlighting the role of biases.
• Additional evidence - Studies such as Henslin (1967) show gamblers adjusting dice throws based on desired outcomes in craps, believing effort influences chance. Similarly, Strickland et al (1966) found higher bets and confidence when gamblers threw dice themselves, reinforcing the illusion of control.

Weaknesses of the cognitive theory

• Individual differences - Not all gamblers develop cognitive biases leading to addiction, suggesting other factors like genetics may play a role in susceptibility.
• Cause and effect ambiguity - It remains unclear whether cognitive biases cause addiction or emerge as a consequence of prolonged gambling behaviour.
• Limited applicability - While useful for gambling, this theory struggles to explain other addictions like smoking or drug use, which may not involve similar cognitive distortions.

Learning theory explanations for gambling addiction

Learning theories, including classical conditioning, operant conditioning, and social learning theory, offer explanations for how gambling addiction develops and persists through learned behaviours and reinforcement patterns.

Classical conditioning in gambling addiction

• Conditioned excitement - Gambling wins act as an unconditioned stimulus, triggering excitement and increased heart rate as an unconditioned response. Over time, associated stimuli like slot machines or cards become conditioned stimuli, eliciting excitement as a conditioned response.
• Temptation to gamble - This learned excitement can drive individuals to seek out gambling opportunities, perpetuating the cycle of addiction.

Operant conditioning and reinforcement

• Partial reinforcement - Unlike consistent rewards, gambling offers intermittent wins, known as partial reinforcement, which can still sustain behaviour.
• Variable reinforcement - Wins occur unpredictably, creating a variable reinforcement schedule. This irregularity keeps gamblers engaged, as they believe the next attempt could yield a reward.
• Early big wins - According to Skinner (1953), an early significant win provides strong positive reinforcement, increasing the likelihood of continued gambling to replicate the experience. Custer (1982) supports this, noting the impact of initial large rewards.

Social learning theory and initiation of gambling

• Vicarious reinforcement - Bandura's (1977) social learning theory suggests individuals may start gambling after observing others win and experiencing the associated benefits indirectly.
• Continued behaviour - Once personal wins occur, classical and operant conditioning mechanisms take over, maintaining the gambling habit and potentially leading to addiction.

Strengths and weaknesses of the learning theory approach to gambling

Learning theory offers valuable insights into the mechanisms sustaining gambling addiction, but it also faces challenges in fully accounting for the complexity of this behaviour.

Strengths of the learning theory approach

• Explaining persistence - The theory effectively accounts for why individuals continue gambling despite frequent losses, through concepts like variable reinforcement.
• Physiological evidence - Meyer et al (2004) observed increased heart rates and excitement in gamblers during betting games, with problem gamblers showing significantly higher responses, supporting the idea of conditioned excitement.

Limitations of the learning theory approach

• Incomplete explanation - It fails to explain why only a minority of those who win become addicted, indicating other factors like genetic predispositions may be involved.
• Generalisability issues - Skinner's conditioning theories were developed from animal studies (pigeons and rats), which may not fully translate to human behaviour.
• Neglect of cognitive factors - Learning theory does not address cognitive biases evident in gambling addiction, limiting its explanatory power for distorted thinking patterns.