The phenomenon gained widespread attention when a Threads user, posting under the handle @fangirlinmegan, shared a screenshot from her Amazon account settings detailing a page dedicated entirely to behavioral assumptions. Alongside relatively mundane insights, such as "Shops from women’s departments" and "Probably owns a Shark robot vacuum," she discovered a much more specific, highly personal declaration: Amazon’s algorithm had deduced that she "has flat buttocks."
"I stumbled upon a page of assumptions that Amazon has made about me based on my purchases and I’m literally speechless," the customer wrote on Threads, capturing the surreal nature of algorithmic overreach. "I mean it ain’t wrong but damn did you have to call me out like that?"
In less than a day, the post exploded across social media, garnering over a million views and sparking a wave of curiosity among online users eager to inspect what kind of psychological and physical profile the corporate retailer had quietly built around their shopping histories.
For those navigating the labyrinthine settings of the desktop site, locating this profile page requires a specific series of clicks. By hovering over the account navigation menu in the upper right corner, users can access their main account dashboard. Navigating down to the ordering and shopping preferences leads to a subsection for personal shopping preferences, where individuals can manually input data like shoe sizes, personal interests, and dietary restrictions. However, hidden beneath these user-provided details lies a blue hyperlinked option at the very bottom of the page labeled "Manage your information." Clicking this link unlocks the full repository of automated inferences compiled by the retailer. Mobile users can find the same hidden compartment by opening the hamburger menu, navigating through the account settings, heading into shopping preferences, and selecting the "About you" tab.
Exploring these profiles reveals a wide spectrum of algorithmic accuracy, ranging from remarkably precise to vaguely amusing. For many users, the platform accurately maps out hobbies and professional interests. Journalists and tech commentators examining their own accounts found that Amazon had correctly gleaned traits such as practicing photography, playing collectible card games, and being deeply invested in the Apple ecosystem. Other inferences are more flattering, such as attributing a taste for diverse non-fiction reading material, creating the amusing impression of an open-ended intellectual being validated by an automated inventory manager.
Other colleagues across the tech industry similarly discovered that Amazon had accurately cataloged their affinities for niche lifestyle products, including vinyl records, handmade ceramics, a preference for natural materials in home decor, and clothing choices that prioritize comfort. None of these professional inquiries yielded anything as startling or blunt as the assumption regarding flat buttocks, though the Threads user who sparked the viral wave later noted a logical explanation for the anatomical verdict: she had previously purchased a batch of "butt scrunch leggings."
The incident serves as a striking reminder of the vast amounts of data collected by modern technology companies and the jarring reality of how closely platforms pay attention to everyday consumer behavior. In an era increasingly defined by pervasive surveillance and automated data collection across digital infrastructure, discovering an algorithm’s unvarnished verdict on one’s personal habits highlights the uncanny nature of modern commerce. While consumers navigate a world of complex digital tracking on a daily basis, few expect an online retail warehouse to double as an overly observant digital acquaintance offering unsolicited physical commentary.
