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What happens when autobattlers fail to monetize? We pull Arto Huhta into the cast and chat about Telegram’s pseudo-WeChat ambitions. Eric releases a distrack on Game Designer's obsessed social spaces, and Phil wants more blood from psychologists' nonsensical F2P "choice overload." Chris enleashes a model-meets-UGC experiment: a three-algorithm simulation that shows how recommendation systems distort consumer welfare and creator inequality.
\We discuss:
Chapters 00:00 Journey to London: A Game Developer's Path 00:49 The Role of Economy Design in Gaming 01:20 From Academia to Game Development: Bridging the Gap 03:16 Experimentation in Game Design: Lessons Learned 05:22 The Intersection of Game Design and Economics 10:07 Understanding Game Development Roles 11:00 Monetization Strategies in Game Design 11:55 The Evolution of Publishing Models 12:42 Transitioning to Web 3: New Challenges 13:54 The Economics of Game Spending 18:27 Introduction to Game Economist Cast 19:06 Current Gaming Trends and Preferences 20:51 Game Modes and Player Engagement 22:03 The Future of Game Monetization 27:33 The Social Hub Experiment in Fighting Games 28:26 Street Fighter VI and Social Interaction 30:28 The Rise of HTML5 Games on Platforms 32:37 The Trend of Casual Games in Tech Companies 34:42 Telegram Games: A New Frontier 37:21 Challenges in Game Discovery on Telegram 38:52 User Engagement and Retention in Web3 Gaming 39:43 Consumer Welfare and Content Creation Dynamics 43:04 The Impact of Algorithms on User Experience 49:31 Heterogeneous Goods and Their Effects on Engagement 57:35 The Impact of Algorithms on Content Quality 59:04 Understanding Algorithmic Risks and User Retention 01:00:16 Exploring Algorithm Design in Gaming Platforms 01:01:54 The Role of User Choice in Content Discovery 01:04:29 The Future of Pricing Strategies in Free-to-Play Games 01:08:10 The Debate on Standardization and Market Forces
By Phillip Black5
77 ratings
What happens when autobattlers fail to monetize? We pull Arto Huhta into the cast and chat about Telegram’s pseudo-WeChat ambitions. Eric releases a distrack on Game Designer's obsessed social spaces, and Phil wants more blood from psychologists' nonsensical F2P "choice overload." Chris enleashes a model-meets-UGC experiment: a three-algorithm simulation that shows how recommendation systems distort consumer welfare and creator inequality.
\We discuss:
Chapters 00:00 Journey to London: A Game Developer's Path 00:49 The Role of Economy Design in Gaming 01:20 From Academia to Game Development: Bridging the Gap 03:16 Experimentation in Game Design: Lessons Learned 05:22 The Intersection of Game Design and Economics 10:07 Understanding Game Development Roles 11:00 Monetization Strategies in Game Design 11:55 The Evolution of Publishing Models 12:42 Transitioning to Web 3: New Challenges 13:54 The Economics of Game Spending 18:27 Introduction to Game Economist Cast 19:06 Current Gaming Trends and Preferences 20:51 Game Modes and Player Engagement 22:03 The Future of Game Monetization 27:33 The Social Hub Experiment in Fighting Games 28:26 Street Fighter VI and Social Interaction 30:28 The Rise of HTML5 Games on Platforms 32:37 The Trend of Casual Games in Tech Companies 34:42 Telegram Games: A New Frontier 37:21 Challenges in Game Discovery on Telegram 38:52 User Engagement and Retention in Web3 Gaming 39:43 Consumer Welfare and Content Creation Dynamics 43:04 The Impact of Algorithms on User Experience 49:31 Heterogeneous Goods and Their Effects on Engagement 57:35 The Impact of Algorithms on Content Quality 59:04 Understanding Algorithmic Risks and User Retention 01:00:16 Exploring Algorithm Design in Gaming Platforms 01:01:54 The Role of User Choice in Content Discovery 01:04:29 The Future of Pricing Strategies in Free-to-Play Games 01:08:10 The Debate on Standardization and Market Forces

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