Ruby Justice Thelot warns body tracking hype masks low usage
- GLP-1 awareness reaches 90 percent while actual usage stagnates at 11 percent.
- Media noise around body tracking creates a false illusion of universal adoption.
- Wearables manipulate user perception through psychological feedback loops like fake sleep scores.
The biohacking explosion is mostly an illusion created by social media algorithms. Most people are just watching.
On The a16z Show, cyber ethnographer Ruby Justice Thelot described the dynamic as para-content - a flood of media generated about a trend that completely dwarfs its actual adoption. Gallup data reveals that while 90 percent of American adults know about GLP-1 weight-loss drugs, a mere 11 percent actually use them. Crypto displays an identical ten-to-one gap, boasting 95 percent awareness against just 14 percent ownership.
Show host Elena Berger highlighted how Silicon Valley regularly claims credit for health movements that originated far from Northern California. Peptides did not emerge from Bay Area venture labs. They trickled out of Midwestern bodybuilding circles and Texas medical spas before tech founders rebranded and professionalized them for coastal elites.
Despite narrow usage, relentless online hype drives what essayist Toby Shorn terms body futurism. Engineering talent is pivoting from traditional software to human biology. Instead of building web applications, founders design systems intended to compress eight hours of sleep into four, while consumers construct home laboratories to test groceries for microplastics.
These tracking gadgets are moving past passive measurement into psychological manipulation. Thelot cited a study where researchers fed Oura Ring wearers intentionally falsified sleep scores. Participants who saw a low score reported having a worse day, regardless of how deeply they actually slept the night before.
The obsession with self-quantification is now fracturing into fringe experimentation. Rather than unifying around standard health benchmarks, consumers increasingly ignore institutional guidance in favor of unmeasured, highly individualized self-experiments.
The noise will keep growing. The actual user base remains tiny.