Science Based Fitness Might Be Relying On Inaccurate Data To Prop Up Their Movement

Popular YouTube creator Zoorp recently dissected a video by fitness influencer Jeremy Ethier titled “If I Wanted to Lose Body Fat by Summer, I Would Do This.”

The video, which follows a subject named Nimesh through a fat loss program, leans heavily on DEXA scan data and a proprietary “three layers of fat” framework to sell viewers on the idea that losing belly fat requires specialized, layered knowledge most people simply do not have.

The first problem Zoorp identifies is the DEXA scan itself. Jeremy reports that Nimesh carries 29.5% body fat, with his belly region clocking in at 34.4%. Presenting a figure to the decimal point implies a level of precision the instrument cannot support.

As Zoorp explains: “The MRI, which is way more accurate than the DEXA, has an error rate of 1 to 4%. The DEXA can be off by 10 to 15% if you try to trick it.” Reporting 29.5% instead of “roughly 30%” is, in Zoorp’s view, a way of making ballpark estimates look like hard science.

The credibility concern deepens when Jeremy reveals that his team analyzed 18,000 DEXA scans across eight years to confirm that men store most of their fat in the belly and love handles, while women tend to store it in the thighs and hips.

Zoorp points out that this is “the most common common knowledge in the fitness industry,” the kind of observation any experienced gym-goer could offer without a dataset. The implication is that the data is being used to project authority rather than generate any meaningful insight.

The “three layers of fat” structure receives similar scrutiny. Zoorp argues it mirrors a standard narrative writing technique known as a three-act structure, used to increase viewer retention, not to reflect any real physiological distinction.

The risk is that viewers leave the video convinced there are genuinely three separate fat layers requiring different removal strategies, when that framework exists only to organize the content.

What makes this especially pointed is the advice itself. The hidden habits for layer one turn out to be weightlifting, eating more protein, and walking.

Layer two introduces new strategies that are, as Zoorp puts it, “the secret strategies to just do more steps so I burn more calories, aka make a bigger freaking deficit, and then just start lifting a bit harder to preserve muscle.”

Nothing here diverges from standard fat loss guidance, yet it is packaged as a system no one else has thought to develop.

The final results add more doubt. Jeremy reports that Nimesh finished the program at 16.7% body fat. Zoorp argues the visual evidence contradicts this, noting that the man appears closer to or below 15%, not the 17-20% range the DEXA reading would suggest.

“Even according to Jeremy’s own graphics,” Zoorp asks, “does this guy look closer to the guy that’s at 20%, which 17 is way closer to 20, or does he look closer to the guy that’s below 15%?”

The overall picture Zoorp paints is of a content format that wraps well-worn advice in data, jargon, and manufactured mystery, not to inform, but to build enough perceived authority to move an app subscription.