My work lives in three places:
- 🧬 Humor Genome — research
- 🎤 Midtown Show — live experiments
- 🔊 sound.fan — shipped systems
The idea
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Meaning is not in the message - It emerges from who’s hearing it
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The same input produces different interpretations - And those differences are predictable
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Most tools assume one “correct” reading - Real audiences don’t behave that way
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Comedy exposes this clearly - A joke either lands, misses, or splits the room
What I study
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Interpretation gaps - Where and why audiences disagree
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Audience models - Different lenses people use to make sense of the same input
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Live reaction signals - What people actually do, not what they say after
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Message robustness - Why some ideas hold across audiences and others fall apart
How I work
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Build tools that make audience interpretation visible
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Simulate different audiences, not just average behavior
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Test in live environments before abstracting
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Turn small experiments into reusable systems
