We're constantly bombarded by data. And it's easy to think that with the right clues, we could answer the ultimate questions of life, the universe, and everything.
But data aren't facts. They're not a secret code. Data are media—they mediate our interactions with the world around us. To make them useful and meaningful, we need a critical framework for working with data as media. That's what I've got for you today—a deep dive on how predictability, relevance, and actionability can help us see data for what they are and for what they're not.
Footnotes:
- Anytime I talk about data and how it mediates our lives and work, I'm referencing the work of philosopher C. Thi Nguyen and his concept of value capture. I've written about his theory previously here
- I also make use of Byung-Chul Han's The Crisis of Narration, specifically his critique of a 2008 Wired essay by Chris Anderson about the end of theory
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- (00:00) - A hypothetical
- (02:32) - Led astry by ubiquitous metrics
- (03:36) - Data aren't reality
- (05:37) - A critical framework for data
- (06:08) - What is predictable?
- (13:36) - What is relevant?
- (18:32) - What is actionable?
- (21:40) - Data literacy
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