Research conducted by a London-based company and has suggested that there is no link between features such as volatility and hit rate on gambling harm.
The study used Future Anthem’s Safer Player machine learning platform to analyses 36 million gambling sessions from 800,000 slot machines players. Player harm markers such as intensity, frequency and variability were compared against gameplay features such as volatility, hit rate and return to player.
The results identified no correlation between the games features and markers of harmful play. The games associated with the highest amount of potential harm were medium-high in volatility, which the company said was not high enough to suggest a direct correlation.
Hit rate and return to player were also found to have no direct impact on play.
However, the study did find a correlation between time of day and the risk of excessive play. It found that gambling sessions between the hours of 12am and 6am were 36 per cent riskier than at other times.
Earlier this week, Anna van der Gaag (CBE), chair of the British Gambling Commission’s Advisory Board for Safer Gambling (ABSG), said more research on safer gambling was urgently needed. She said problem gambling research was being hindered by a lack of evidence due to polarized frames of reference.
Last month, the Gambling Commission’s quarterly participation and problem gambling survey found that problem gambling levels fell to 0.3 per cent in September. It’s the joint lowest figure on record since the survey began in 2016.
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