A PowerPoint About Counter Strike and Goodhart's Law

I made a PowerPoint about Counter-Strike, Elo, and Goodhart’s Law which is the idea that once a measurement becomes a target, people start changing their behavior around the measurement itself. Counter-Strike players care about K/D, ADR, HLTV Rating, Premier Rating, FACEIT Elo, and basically any other number the game gives us. But how well do those numbers actually measure skill? And what happens when players start optimizing the stat instead of the thing the stat was supposed to represent? This one gets into Goodhart’s Law, the history and math behind Elo, why team games make skill ratings messy, HLTV Rating 2.0/2.1/3.0, Round Swing, Glicko, TrueSkill, uncertainty, and whether Counter-Strike Elo could actually be improved. And yes, after several days of reading about rating systems, I am now obviously qualified to fix competitive Counter-Strike. TikTok: @0xForrest Instagram: @forrestyaps Twitch: @forresthq 0:00 Counter-Strike Is Back 1:19 What the Hell Is Goodhart’s Law? 2:47 Elo Was Invented for Chess 4:09 Why Elo Gets Weird in Counter-Strike 5:28 Kevin Discovers Incentives 7:00 The Scoreboard Changes How You Play 8:31 HLTV Rating Accidentally Demonstrates the Problem 9:43 Rating 3.0 and Round Swing 11:02 When a Good Statistic Becomes a Bad Reward 12:12 Maybe Elo Is Dumb on Purpose 13:24 How I’d Improve Counter-Strike Elo 15:16 Your Elo Is Not You #CounterStrike #CS2 #Statistics