Educator · Recognition
Recognition
Loot boxes, fantasy lineups, skin trades, and sportsbooks share more structure than students realize.
Why Recognition matters
Identify gambling mechanics even when they are hidden inside games, apps, or social products.
Your progress in Recognition
Recognition mastery
2 of 9 mastered1 in progress · 6 not started
Units in this domain
Unit · 5 items
Four lessons: the framework, where gambling hides in games, the convergence mechanics, and the dark-pattern walkthrough. Each lesson ends with a check; pass to mark it mastered.
2 of 5 mastered
- recognition · 30mSpot the Setup: What Even Counts as Gambling?Mastered
- recognition · 35mWhere Gambling Hides in GamesMastered
- 03recognition · 35mWhy Games Feel Like Gambling
Three engineered mechanics that explain why gambling-like products are hard to stop using even when the math is understood: variable ratio reinforcement, near-miss design, and loss disguised as a win.
Continue - recognition · 35mDesigned to Hook YouLocked
- recognition · 30mKnow the FieldLocked
Supporting materials
Handouts, references, and guides that pair with this unit.
Recognition Quick Reference
Printable one-pager: the stake-plus-chance-plus-prize framework, the gambling spectrum, and a glossary of design mechanics (variable ratio, near-miss, sludge, dark patterns, dark nudges).
Research Source Library
Per-domain citation library covering every claim in the curriculum, with usage guidance for parent, admin, and media conversations. Names the gaps in the source base where they exist.
Recognition Unit: Educator facilitation
How to teach the Recognition unit: pacing, running The Illusion Machine lab, and debrief prompts.
Research citations
External academic sources that inform this domain.
Donati MA, Chiesi F, Primi C (2017). Gambling-Related Distortions and Problem Gambling in Adolescents. Frontiers in Psychology, 8, 2243.
Adolescent-specific (n=306 male teens) model showing illusion of control and gambler’s fallacy mediate the path from probabilistic-reasoning failures to problem gambling — the evidence base for teaching these distortions to youth.
Open sourceDrummond A, Sauer JD (2018). Video game loot boxes are psychologically akin to gambling. Nature Human Behaviour, 2, 530–532.
Analyzed 22 popular games and concluded most loot boxes meet the structural and psychological criteria of gambling. The cleanest single citation for the case that loot boxes are gambling-like under the stake-plus-chance-plus-prize framework.
Open sourceZendle D, Meyer R, Over H (2019). Adolescents and loot boxes: links with problem gambling and motivations for purchase. Royal Society Open Science, 6(6), 190049.
Found a moderate-to-large association between loot box spending and problem gambling in 16–18-year-olds (η²=0.120), stronger than the same association in adults. The strongest adolescent-specific evidence that loot box exposure links to gambling harm.
Open sourceKing DL, Delfabbro PH (2018). Predatory monetization features in video games (e.g., loot boxes) and internet gaming disorder. Addiction, 113(11), 1967–1969.
Taxonomy of predatory game monetization features with structural parallels to gambling. The reference paper for naming and classifying loot boxes, dynamic pricing, premium currencies, and other monetization mechanics in the convergence pipeline.
Open sourceSchüll ND (2012). Addiction by Design: Machine Gambling in Las Vegas. Princeton University Press.
Foundational ethnography on how electronic gambling machines are engineered to maximize “time on device.” Origin of the modern dark-pattern conversation as applied to gambling and gaming products.
Open sourceNewall PWS (2025). Sludge, dark patterns and dark nudges: A taxonomy of online gambling platforms’ deceptive design features. Addiction.
Three-part taxonomy of deceptive design in online gambling: “sludge” (frictions in withdrawal), “dark patterns” (deceptive UI like high suggested deposits), and “dark nudges” (framing that presents gambling as fun). The reference for naming structural design features in betting apps.
Open sourceHing N, Russell AMT, King DL, Rockloff M, Browne M, Greer N, Newall P, Sproston K, Chamberlain SR (2022). Adolescent betting on esports using cash and skins: Links to gambling and problem gambling. PLOS ONE.
Found 6.2% of adolescents under 18 engaged in esports skin betting (2.5x higher than cash esports betting), and skin bettors were ~3x more likely to meet problem gambling criteria. Best evidence for skin-betting markets as a youth-specific exposure.
Open source