It is a well-established reality of the modern digital economy that convenience often comes at the price of privacy. Most consumers have grown accustomed to the idea that their online shopping habits serve as a data feed for recommendation algorithms. If you frequently purchase bulk orders of cat litter, Amazon will inevitably infer that you are a pet owner; if your history is filled with anti-acne treatments, the platform’s predictive modeling might conclude that you are prone to skin breakouts. While these deductions are generally understood as the "cost" of a personalized shopping experience, the reality of how these inferences are organized and displayed can still be profoundly jarring.
A recent viral moment on the social platform Threads highlighted just how granular—and occasionally uncomfortable—these digital profiles have become. A user known as @fangirlinmegan discovered a specific, often-overlooked section of her Amazon account settings that serves as a digital dossier of who the retail giant believes she is. Alongside relatively benign categorizations like "Shops from women’s departments" or "Probably owns a Shark robot vacuum," she stumbled upon an assessment that felt far more personal: Amazon had explicitly categorized her as someone who "has flat buttocks."
The revelation sparked an immediate reaction from the user, who shared her disbelief with her followers. "I stumbled upon a page of assumptions that Amazon has made about me based on my purchases and I’m literally speechless," she wrote in a post that resonated with millions of users. "I mean it ain’t wrong, but damn, did you have to call me out like that?" The post quickly gained traction, garnering over a million views in less than 24 hours. The viral nature of the post was driven not just by the humor of the specific "buttocks" classification, but by a widespread, lingering curiosity among consumers about what other, perhaps more invasive, assumptions Amazon might be making about them behind the scenes.
This interest in self-auditing one’s digital footprint is indicative of a broader trend in consumer behavior. As tech companies continue to refine their data-collection capabilities, users are becoming increasingly wary of the "black box" nature of these algorithms. When users finally access the "About You" page, they are often met with a mixture of recognition and unease.
For those who wish to see their own profiles, Amazon provides a pathway through its account settings, though it is intentionally buried under layers of menu options. On a desktop browser, a user must hover over the "Hello, [your name]" menu in the upper right-hand corner and select "Account." From there, navigating to the "Ordering and shopping preferences" section leads to "Your Shopping preferences." While this page allows users to manually input information—such as shoe size, specific interests, or dietary preferences to help tailor their experience—it also hides a deeper repository of inferred data. By scrolling to the bottom of this page and selecting the blue hyperlink labeled "Manage your information," users are granted access to the specific assumptions and personality tags Amazon has attached to their profiles.
The process is similarly nested within the mobile application. By selecting the "hamburger" icon in the bottom menu bar, a user can navigate through "Account" to "Shopping preferences" and finally to the "About you" section. The accessibility of this information is limited by design, suggesting that while Amazon is technically transparent about its data collection, it does not necessarily encourage users to browse their own psychological profiles on a regular basis.
The experience of discovering these labels can be surprisingly varied. For some, the data is relatively flattering or at least harmless. For instance, an examination of one profile revealed assumptions such as "practices photography," "plays collectible card games," and "is invested in the Apple ecosystem." These labels are accurate reflections of a specific consumer lifestyle. In some instances, the platform even seems to offer a form of algorithmic flattery; one user found they were labeled as someone who "reads diverse non-fiction," a description that felt less like a data point and more like a compliment to the user’s intellectual curiosity.
Other individuals who explored their settings found similar patterns. Colleagues reported that Amazon had correctly identified interests in niche hobbies like vinyl record collecting or ceramics, and had even managed to categorize their personal style as favoring "natural materials" and clothing that "prioritizes comfort." These findings suggest that the algorithms are remarkably effective at identifying long-term lifestyle patterns rather than just one-off purchases.
The specific "flat buttocks" label that triggered the initial viral post was likely not a random glitch, but a calculated inference derived from purchase history. As the original poster noted, the classification was almost certainly linked to her history of purchasing "butt scrunch leggings." This reveals the logical, if blunt, nature of Amazon’s internal systems. The algorithm is not attempting to be judgmental; it is simply aggregating data points to refine future marketing efforts. If a user buys items designed to enhance a specific body part, the system logs that the user likely has an interest in those specific physical characteristics. To the machine, the "flat buttocks" tag is simply a metadata label meant to improve the relevance of future advertisements, even if it feels like an invasive observation to the human being on the other side of the screen.
This incident serves as a stark reminder of the level of detail tech companies maintain about their users. In an era where "surveillance capitalism" has become a central topic of discourse, it is increasingly jarring to witness exactly how closely these platforms observe the nuances of our daily habits. We live in a world defined by a high degree of digital observation, where every purchase, search, and click is distilled into a comprehensive profile. While many of us willingly participate in this exchange for the convenience of same-day delivery and personalized recommendations, the "About You" page forces a confrontation with the reality of that trade-off.
The viral response to the "flat buttocks" classification highlights a universal discomfort with being "seen" by a machine. It is one thing to know that a company is collecting data; it is quite another to see your own physical attributes or personality traits distilled into a blunt, machine-readable list. As Amazon and other tech giants continue to advance their data-harvesting capabilities, the line between helpful personalization and intrusive profiling will likely continue to blur. For now, however, users are left to scroll through their own "About You" pages, laughing at the accurate, yet unsettling, conclusions that the algorithm has drawn about their lives. At the very least, as one user pointed out, there is a small measure of relief in knowing that the system has not yet drawn that specific, unflattering conclusion about their own physique.
