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Building Worlds
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Classroom Contents
Data-Driven or Data-Blinded? Uses and Abuses of Analytics in Games
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- 1 Intro
- 2 Data is a Hot Mess
- 3 A Tale of Two Games
- 4 A Different Tale of Two Games
- 5 Triangulating Truth
- 6 Building Worlds
- 7 Audience Mix
- 8 Audience Age
- 9 Averages are Average Tutorial Completion Rate
- 10 Small Sample Sizes
- 11 Nothing is Normal
- 12 Outliers Rule
- 13 Cherry Picking
- 14 Confirmation Bias
- 15 Axis of Evil
- 16 Everything Correlates with Engagement
- 17 A/B Tests
- 18 (Miss) Assignment
- 19 (Huge Miss) Assignment
- 20 Downstream Example
- 21 Premature Analysis
- 22 Statistical Significance True Mean
- 23 Abnormal Testing
- 24 Medians and Distribution FTW
- 25 Extreme Description Testing
- 26 Meaningful No Difference
- 27 A/B/C(ontext) Testing
- 28 Not Everything is Testable
- 29 Hierarchy of Testing
- 30 Game Data Lifecycle
- 31 Creative Iteration
- 32 Pre-Production Testing
- 33 There's No Right Answer