{"id":2697,"date":"2019-03-25T17:48:06","date_gmt":"2019-03-25T17:48:06","guid":{"rendered":"https:\/\/www.bettingwebsites.org.uk\/?page_id=2697"},"modified":"2023-09-21T12:59:50","modified_gmt":"2023-09-21T12:59:50","slug":"gamblers-fallacy","status":"publish","type":"page","link":"https:\/\/www.bettingwebsites.org.uk\/articles\/betting-psychology\/gamblers-fallacy\/","title":{"rendered":"Gambler’s Fallacy Explained: The Ultimate Case Study"},"content":{"rendered":"

It may be a concept most of us have encountered before but what exactly is Gambler\u2019s Fallacy?<\/p>\n

Forget the Wikipedia definition or explanations found on numerous guides floating through the Internet waters. This comprehensive piece below is everything you need to know about this fascinating phenomenon.<\/p>\n

Gambler or not, you will be enlightened by the time you reach the end of this article – and with not a single mathematics formula in sight!<\/p>\n

What is Gambler\u2019s Fallacy?<\/h2>\n

\"\"<\/p>\n

It\u2019s a trick. To put it simply and bluntly. The very word Fallacy originally derives from the Latin noun \u2018Fallacia\u2019 \u2013 means a trick or fraud.<\/p>\n

Gambler\u2019s Fallacy is perceived as a cognitive trick your brain plays in order to deal with a puzzling situation; specifically when faced with a sequence of random events it is unable to find relatable patterns within. Gambler\u2019s Fallacy is an unwilling trick, stemming out from the lack of better solutions, designed by your brain as a way to interpret overwhelming information.<\/p>\n

Scholars call it cognitive bias<\/a> (Kahneman, 2011; Tversky & Kahneman, 1974), a deviation from rationality in judgment. Such a description, however, does not even begin to describe its diversity, which starts with the multitude of different names used to explain this phenomenon.<\/p>\n

If, by any chance, Gambler\u2019s Fallacy does not ring any bells, how about the Maturity of Chances or better yet the Monte Carlo Fallacy?<\/p>\n

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Maturity of Chances<\/h3>\n

\"\"The law of the maturity of chances is a technical name given to the idea that the more bets you make on a losing run, the more you are due to win in the end.\u00a0 Whatever the probability of an event might be, the principle behind the maturity of chances is simple \u2013 the likelihood of a win increases as the losing run goes on.<\/p>\n

The reasoning behind such an assumption is based on the mathematical principle<\/a> best explained through a coin toss and the law of large numbers (LLN). With outcomes of the tosses being statistically independent, the probability of getting heads\/or tails on a single toss is one in two, or 50%. According to LLN, the average result of a large number of coin tosses becomes closer to the average as more and more tosses are made.<\/p>\n

The law of large numbers only applies to a large number of attempts \u2013 as the name itself suggests \u2013 and should not be used to find reason and explanation behind the individual attempts, tosses, or roulette spins for that matter.<\/p>\n<\/div>\n

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Monte Carlo Fallacy<\/h3>\n

\"monte<\/p>\n

On the 18th August 1918 the most famous occurrence of Gambler\u2019s Fallacy took place in a game of roulette at the famed Monte Carlo Casino.<\/p>\n

With the remarkable probability of around 1 in 66.6 million, the roulette ball ended up falling on black for a record 26 times in a row, which was an unprecedented \u2013 and largely inexplicable \u2013 event in the world of gambling to that date.<\/p>\n

The effect of this particular example was so overwhelming that it later on became the main association to the actual fallacy phenomenon.<\/p>\n

Somewhere around the 15th<\/sup> time the ball hit black, the players began to panic.<\/p>\n

Bets were being made on red as gamblers ended up losing millions of francs claiming and firmly believing that the streak was due to end, while their minds were falsely led by the law of large numbers and maturity of odds.<\/p>\n<\/div>\n

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The Hot Hand Fallacy<\/h3>\n

\"hotThe concept on the opposite side of the spectrum to the Monte Carlo Fallacy is known as the Hot Hand Fallacy.<\/p>\n

Imagine a single player in 1918 who would decide to bet only on black after the ball landed on it three times in a row. The improbable scenario would then lead them to win all 15 times in the initial sequence. Would they be bold enough to continue to bet on the black after the ball hit this colour after a 15-strong run? Probably.<\/p>\n

Contrary to that particular gambler\u2019s perplexed fellow players, this one would have enjoyed what is called the \u2018hot hand phenomenon\u2019. It presumes that future attempts could produce results based on a previously positive streak.<\/p>\n

This phenomenon could falsely lead players to believe their previous attempts had been related to their good fortune or Lady Luck smiling on them on that occasion, which makes the Hot Hand occurrence merely a psychological attitude.<\/p>\n

The Hot Hand Phenomenon originated from basketball. Amos Tversky, Thomas Gilovich and Robert Vallone suggested in 1985 that players\u2019 chances of making a successful shot are affected by the outcome of the previous shot. The shot, they claim, is likely to be successful if the previous shot went in.<\/p>\n<\/div>\n

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Statistical Independence<\/h3>\n

\"random<\/p>\n

It was Edmond de Goncourt who said that \u201cstatistics is the main of all inaccurate studies\u201d.<\/em> The famous quote from the French writer and literary critic might be the perfect description of the human brain\u2019s failure to understand statistical independence, a symptom underlying the Gambler\u2019s Fallacy.<\/p>\n

Statistical Independence argues that individual members of any sequence are statistically independent of each other and will not be in any way connected.<\/p>\n

It simply states that you will be unable to predict the next outcome of the sequence based upon the knowledge and the experience provided by the previous members of the sequence.<\/p>\n

Example<\/em><\/strong>:<\/em> Predict the following sequences of numbers.<\/p>\n