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Matthew Rockloff

Matthew Rockloff

Professor of Psychology & Head of EGRL at CQUniversity
Matthew Rockloff is a Professor of Psychology and Head of the Experimental Gambling Research Laboratory (EGRL) at CQUniversity in Australia. For over two decades, his research has focused on electronic gaming machines (EGMs), player decision-making, and harm minimisation strategies. He has published over 80 peer-reviewed articles informing public policy and regulatory changes across multiple Australian jurisdictions.

Twenty years studying pokies: what I’ve learned about how casinos really work

Walking into that Brisbane pub at twenty-three, I thought I understood gambling. I had a psychology degree, knew probability theory, and figured I was immune to whatever tricks those flashing machines might employ. Two hundred dollars vanished in three hours, and I left with more questions than answers. That night didn’t ruin me financially, but it fundamentally shifted my career trajectory toward understanding the mechanics of gambling harm.

I’m Matthew Rockloff, currently heading up the Experimental Gambling Research Laboratory at CQUniversity. For the past two decades, my team has been pulling apart the psychology behind poker machines, online platforms, and everything in between. We don’t theorize from ivory towers, we bring actual gambling products into labs, recruit real players, and measure what actually happens when people interact with these systems. It’s the kind of research that makes industry executives uncomfortable, which usually means we’re onto something important.

How I ended up here

Psychology attracted me because of the disconnect between intention and action. People genuinely believe they’ll stop after one drink, check their phone less, or quit while they’re ahead. Then they don’t. That gap between stated intention and actual behaviour is where gambling operators make their money, and it’s where I’ve focused my research career.

After my doctorate, I could have published safe theoretical papers for academic journals that nobody reads. Instead, I built a lab where we could test gambling products under controlled conditions with real money at stake. It’s expensive, methodologically challenging, and occasionally lands us in controversy with industry lobbyists. But the data we generate actually influences policy rather than just gathering dust in academic databases.

What our research actually shows

Over eighty peer-reviewed publications have come out of our lab, and the findings consistently contradict industry marketing claims. Electronic gaming machines aren’t harmless entertainment devices. They’re precisely engineered to exploit cognitive vulnerabilities that most people don’t know they have. Every sound, every animation, every reward schedule has been tested and optimized to keep people playing longer than they intended.

Our work on losses disguised as wins created genuine waves in regulatory circles. These are the moments when machines celebrate with victory sounds and flashing lights despite the player actually losing money on that spin. Industry representatives insisted these were just entertaining features that made games more enjoyable. Our research demonstrated they fundamentally confuse players about whether they’re winning or losing, extending gambling sessions significantly and increasing total losses. Players literally couldn’t track their wins and losses accurately because their brains were processing contradictory signals from the machine.

The research on payment systems proved equally revealing. When venues transitioned from cash payouts to ticket systems, operators claimed it was purely for player convenience and security. Our experimental data showed that removing tangible cash from the equation dramatically increases gambling duration. A printed ticket doesn’t trigger the same psychological response as watching twenty dollar notes leave your wallet. The physical sensation of handing over cash creates a psychological friction that ticket systems eliminate entirely, which is precisely why operators prefer them.

Research findings that changed regulations

Research focus Core finding Regulatory outcome
Losses disguised as winsPlayers can’t accurately track lossesRestrictions implemented in some jurisdictions
Bet configuration complexityMultiple line betting obscures true costMandatory disclosure requirements introduced
Payment system psychologyTickets reduce awareness of spendingInformed ATM restriction policies
Pre-commitment effectivenessOptional systems rarely usedDebate over mandatory schemes
Venue environment factorsCertain designs increase harmVenue licensing condition changes

Evaluating online operators like Joe Fortune

People often ask what someone who studies gambling harm thinks about online casinos. It’s complicated. Joe Fortune and similar platforms operate in a fundamentally different space than the pub pokies I’ve spent years examining. Online gambling presents unique risks, primarily around accessibility and pace, but also unique opportunities for harm minimization if operators actually implement meaningful protections.

The Australian online gambling market has exploded over the past decade. We already have the highest per capita gambling losses globally, which isn’t exactly something to celebrate. Any platform targeting Australian customers needs to understand that context and the responsibility that comes with it. The question isn’t whether online casinos should exist, it’s whether they’re willing to implement protections that might reduce their revenue but prevent genuine harm.

Essential features for responsible operators

  • Hard spending limits that force session termination, not soft suggestions you can easily ignore when you’re chasing losses
  • Transparent reality checks displaying actual time and money spent in unavoidable, clearly formatted messages
  • Mandatory cooling-off periods after defined loss thresholds or session durations, regardless of whether players want them
  • Prominent access to support services integrated into the platform interface, not buried three levels deep in help documentation
  • Genuinely effective self-exclusion that works across sister sites and can’t be easily reversed during vulnerable moments

The technology to implement all of these features exists today. Whether operators choose to deploy them depends entirely on whether they prioritize customer welfare over revenue extraction. Based on my research experience, most don’t.

Confronting industry mythology

Twenty years in gambling research teaches you that industry representatives will deploy any argument, no matter how absurd, if they think it might protect quarterly earnings. I’ve sat through presentations where executives claimed with straight faces that their products are pure entertainment, that problem gambling affects only an insignificant minority, and that the vast majority of customers gamble responsibly within their means.

Our research data tells an entirely different story. Multiple studies have demonstrated that between 25% and 60% of total gambling revenue comes from people experiencing measurable harm. That’s not a marginal edge case, that’s a business model fundamentally dependent on customers losing more than they can afford. When we publish findings that challenge industry narratives, the response is predictable and intense. My methodology gets questioned, funding sources scrutinized, and motives impugned by well-paid consultants.

But regulatory changes based on our research have measurably reduced gambling harm in jurisdictions that implemented them. That’s not theoretical impact, that’s real money staying in people’s pockets instead of flowing to operators. Every time industry lobbyists fight against evidence-based restrictions, they’re explicitly prioritizing profits over preventing harm. I’ve watched it happen dozens of times.

Training future researchers

Beyond conducting research, I’m committed to developing the next generation of gambling researchers. This field desperately needs people who understand both psychological mechanisms and modern technology, who can design rigorous experiments and interpret complex behavioural data. We’re not training consultants for the gambling industry, we’re training researchers who can hold that industry accountable through methodologically sound science.

Students frequently ask whether I gamble myself. Occasionally, yes, but completely differently than before I understood the underlying mechanics. When I do play, it’s with predetermined strict limits, full awareness of house edge mathematics, and zero illusions about long-term outcomes. The research has fundamentally changed my relationship with gambling because I can’t unsee how every design element exists to manipulate behaviour.

Research directions ahead

Gambling is evolving rapidly beyond traditional formats. Cryptocurrency casinos, social casino games, video game loot boxes, these all present research questions that didn’t exist five years ago. My lab increasingly focuses on how gambling mechanics are being embedded in contexts where young people encounter them before they’re legally allowed to gamble.

The convergence between gaming and gambling particularly concerns me. Adolescents are developing gambling-like behavioural patterns through games that technically aren’t gambling because no monetary prizes are involved. But the psychological mechanisms being exploited are identical to traditional gambling products. We’re essentially training an entire generation in gambling behaviours years before they can legally place bets.

Why players should understand the research

If you’re gambling at Joe Fortune or anywhere else, understanding this research matters for your own protection. Operators know exactly how their products affect your decision-making, they’ve tested every sound effect, animation sequence, and reward schedule. The only way to partially level that information asymmetry is understanding what they know about your own psychology.

This doesn’t mean you shouldn’t gamble recreationally if you genuinely enjoy it. But it does mean gambling with full awareness of how these systems are designed to work. Set your limits before starting. Actually use responsible gambling tools when they’re available. And if you notice yourself chasing losses or gambling beyond your intentions, recognize those as warning signs rather than personal failures.

FAQ

What happens in experimental gambling research?

We test real gambling products in controlled laboratory environments using actual money and genuine players. This might involve eye-tracking during poker machine sessions, measuring gambling duration with different game configurations, or testing whether harm minimization features actually work as claimed.

Can online casinos like Joe Fortune actually be responsible?

They can be dramatically more responsible than most currently are, absolutely. The technology exists for meaningful harm minimization, the question is whether operators will implement features that might reduce revenue. The most responsible operators are transparent about odds and provide effective self-limitation tools without exploitative design features.

How much casino revenue comes from problem gamblers?

Research consistently shows between 25% and 60% of gambling revenue comes from people experiencing harm. That's not a marginal issue, that's a business model substantially dependent on people losing more than they can afford.

What should someone do about a gambling problem?

Recognize that problems exist on a spectrum and you don't need to hit rock bottom before seeking help. In Australia, Gambling Help Online (1800 858 858) provides free confidential counselling, and most states offer face-to-face services.

Will research ever lead to real change in Australia?

It already has in areas like losses disguised as wins restrictions and venue ATM policies. Progress is frustratingly slow because gambling generates massive state revenue, creating fundamental conflicts of interest, but sustained research pressure eventually produces policy change.