What is the Gambler’s fallacy?
The Gambler’s fallacy is a cognitive bias that creates the incorrect idea of probability. It happens when people believe that more likely events, such as coin flips, are on the path towards an unlikely outcome due to recent events. For example, if you flip heads five times in row you might think that tails is “due” and therefore on the sixth toss it will probably turn up heads.
How does it work?
A group of gamblers at a casino collectively lose $100 over 60 minutes playing roulette. One gambler wins $200 after 20 minutes while everyone else loses money. He decides to keep his winnings and leave the game because he thinks his luck must change eventually. A second gambler wins $200 after 40 minutes and leaves the game, also concluding that his luck must change. The third gambler wins $200 after 1 hour and 30 minutes. When asked why they thought their luck had changed, both of them answered “the longer you stay at the table, the more likely you are to win”.
Why is this bias dangerous?
People may place too much faith in a single event’s ability to predict future events. This can result in people making poor decisions to follow false patterns or trends. Some students have been known to avoid studying for an exam if they have received high grades on previous papers only to later fail the final one miserably due to lack of preparation. Consideration should be given to base probability in addition to past events.
Why do people use this bias?
People may use the gambler’s fallacy when they are making decisions about their luck or fate based on what has happened in the recent past. For example, gamblers may think that if they have lost money in the last 10 rounds of betting, they are due for a win in the next round. People often rely on heuristics (shortcuts) to make decisions quickly; this shortcut relies on noticing trends and patterns. Heuristics can lead us astray without proper reasoning behind them, but sometimes they help us make more informed decisions with less mental effort than more analytical processes would require. The shortcut is quick and easy but it is not always effective.
How do people use this bias?
“Reverse gambler’s fallacy” is a similar cognitive bias in which the incorrect idea of probability is that recent events, such as coin flips, are on the path towards an unlikely outcome due to recent events. For example, if you flip tails five times in row you might think that heads is “due” and therefore on the sixth toss it will probably turn up heads. People may rely too much on their intuition when making decisions about luck or fate based on what has happened recently. If they have received high grades throughout school but fail one exam, for instance, they may believe they failed because of bad luck rather than lack of preparation.
How can we create this bias?
The gambler’s fallacy can be created in one of two ways.
The first, the ‘Crucial Gamble’ method, is where the next outcome in a sequence of bets is said to affect past or future bets. For example, if someone believes that after five straight losses they are due for win because the previous five events somehow affect each other.
The second way this bias can be created is when people are being asked for their opinion on an event before it has happened. For example, if I were to ask you whether you thought that Leicester would beat Manchester United tonight in football and you have no knowledge of association football but you did just watch them both play last night then your answer might rely too much on last night’s result rather than the actual chances of either team.
How to avoid this bias?
Make decisions in a timely fashion and have a sound process for making them. In gambling, people often rely on the gambler’s fallacy when they try to predict future outcomes based on patterns or trends from previous events. Consulting with statistical probability would be much better when trying to place bets because it does not rely on intuition or heuristics that can lead us astray without proper reasoning behind them. A good way to prevent yourself from falling into the gambler’s trap is by creating betting systems designed specifically for specific types of games. They are advantageous over traditional methods because they create guidelines which you should follow every time you bet.
Which profession use this bias?
Gambler’s fallacy is not commonly used by any particular profession. However, the gambling industry and people who enjoy playing games of chance can be affected by this cognitive bias. Another group that may be susceptible to the gambler’s fallacy are investors because they try to predict future events in financial markets. They rely too much on their intuition when making decisions about luck or fate based on what has happened recently for example if a stock has been going up for the last few days it will probably continue to go up. Sometimes heuristics can lead us astray without proper reasoning behind them but sometimes they help us make more informed decisions with less mental effort than more analytical processes would require.
Gambler’s fallacy examples:
1. If you have flipped a coin 31 times and it landed on tails every time then people will use this information to predict that the next throw of the coin will land on heads because tails is « due ».
2. A recent loss in a baseball game makes a team think they are due for a win, but they fail to realize their chances of winning remain unchanged from before the loss.
3. After five losses in a row at the casino dice table, someone may believe they are going to win on the next roll because they believe that pattern is going to continue indefinitely.
4. Investors who put all of their money into one stock without diversifying their portfolio might be susceptible to using heuristics such as “what has been done in the past will continue to happen”.
Conclusion.
Gambler’s fallacy is a type of cognitive bias that involves the misconception of thinking that future probabilities are altered by past events. It can be created in one of two ways, either by asking someone what they think will happen before an event has happened or by asking them about the outcome of all previous trials when trying to predict future outcomes. This cognitive bias can affect gamblers and investors alike because their professions rely on predicting future events using intuition rather than statistics. There are several different attempts to avoid this common error but it is important to note that avoiding this particular heuristic does NOT mean you should turn to statistical probability whenever you need help making decisions.
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