Beyond ‘Flat Buttocks’: What Amazon’s Algorithm Really Thinks of Your Body Shape

Key Takeaways

• Amazon’s algorithms infer highly specific, sometimes intimate, personal details from your purchase history, extending beyond basic demographics.
• Users can discover these AI-generated profiles in their Amazon account settings, often revealing surprising or uncomfortably accurate assumptions.
• This feature underscores the extensive data surveillance conducted by tech giants, prompting critical questions about privacy, algorithmic ethics, and the trade-off for personalized user experiences.

We all know Amazon tracks our purchases. Buy cat litter, and you’re probably a cat owner. Stock up on anti-acne treatments, and an algorithm might deduce a penchant for breakouts. This much is expected. What remains surprising, and often unsettling, is the granular, almost clairvoyant detail of the personal profiles Amazon constructs based on our shopping habits. These aren’t just broad categorizations; they are often startlingly intimate inferences, laid bare in a convenient, if slightly unnerving, list.

The Algorithm’s Gaze: When AI Gets Personal

The digital world often feels like a panopticon, but rarely does the eye of the machine feel so explicitly fixed on our personal anatomy. A recent viral sensation on Threads brought this reality into stark focus. An Amazon customer, @fangirlinmegan, stumbled upon a section of her Amazon settings where the shopping giant’s AI had compiled a list of assumptions about her. Alongside relatively innocuous tags like “Shops from women’s departments” and “Probably owns a Shark robot vacuum,” she found an assumption that stopped her cold: Amazon believed 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,” @fangirlinmegan wrote. “I mean it ain’t wrong but damn did you have to call me out like that?”

The post exploded, garnering over a million views in less than 24 hours. The sheer audacity of the algorithm’s deduction, coupled with its uncomfortable accuracy, resonated deeply. It wasn’t just about the specific, rather personal, inference; it was about the realization that behind every purchase, every click, every browsing session, an invisible digital entity is meticulously piecing together a comprehensive, and occasionally deeply personal, portrait of who we are.

Unmasking Your Digital Twin: How to See Amazon’s Assumptions

The viral post ignited a widespread curiosity: what does Amazon think of *me*? Users across the globe began an eager, if slightly apprehensive, quest to uncover their own algorithmic profiles. The process is straightforward, whether you’re on a desktop or using the mobile app.

**On desktop:** Navigate to the upper right corner of the Amazon homepage and hover over “Hello, [your name].” From the dropdown menu, click “Account” under the “Your Account” section. Then, locate “Your Shopping preferences” within the “Ordering and shopping preferences” section. While this page allows you to add your own details like shoe size or dietary preferences, our goal is to delve deeper. Scroll to the bottom and click the blue hyperlinked option that says “Manage your information.” Prepare yourself for Amazon’s candid assessment.

**On the mobile app:** Tap the hamburger icon (three horizontal lines) in the bottom menu bar. Then, follow this path: Account > Shopping preferences > About you.

Beyond the Buttocks: A Gallery of Algorithmic Inferences

My own journey into Amazon’s data vault yielded a profile that was both accurate and surprisingly flattering. Amazon has correctly deduced that I am someone who “practices photography,” “plays collectible card games,” and is “invested in the Apple ecosystem.” All true. Perhaps most amusingly, it flattered my ego by noting that I “read diverse non-fiction,” prompting an internal nod of agreement — yes, Amazon, I am indeed an open-minded intellectual with a thirst for knowledge. Thank you for noticing.

My colleagues’ experiences mirrored this blend of accuracy and mild surprise. One found Amazon had identified an interest in vinyl records, another in ceramics. A third was correctly tagged for preferring “natural materials” in home decor and clothing that “prioritizes comfort.” Thankfully, none of us encountered an assessment as direct or intimate as “has flat buttocks.” The Threads user, @fangirlinmegan, speculated that her unique inference likely stemmed from purchasing “butt scrunch leggings,” a product designed to enhance the gluteal appearance. This highlights the literal, almost literal-minded, way in which algorithms process information: purchase a product designed to address a perceived physical attribute, and the algorithm infers the attribute itself.

The Broader Implications: A Glimpse into the Surveillance Economy

This seemingly innocuous feature serves as a stark reminder of the pervasive surveillance that underpins our modern digital lives. Tech companies, driven by the relentless pursuit of personalized experiences and targeted advertising, employ sophisticated algorithms to create incredibly detailed user profiles. Every search query, every product view, every purchase, every interaction contributes to a constantly evolving digital dossier. These profiles are far more than just lists of interests; they encompass inferred demographics, lifestyle choices, political leanings, health concerns, and, as we’ve seen, even assumptions about our physical bodies.

The “creep factor” is undeniable. While personalization can be convenient, helping us discover new products or content, the realization of how deeply we are being analyzed can be unsettling. It raises fundamental questions about privacy, consent, and the ethics of algorithmic inference. When does a company’s attempt to understand its customers cross the line into intrusive profiling? How accurate are these inferences, and what are the potential consequences of inaccurate or sensitive assumptions being stored and potentially shared?

We are living in an era where the line between convenience and alarming surveillance is increasingly blurred. While I can take some solace in knowing that Amazon doesn’t think my butt is flat, the larger truth remains: these tech giants know an extraordinary amount about us, and the “About you” page is just a small, albeit eye-opening, window into the vast digital mirror they hold up to our lives.

The Bottom Line

Amazon’s “About you” page provides a rare, candid look into the intricate, often intimate, digital profiles constructed by AI from our shopping data. It’s a powerful reminder that our online interactions are constantly being analyzed, leading to inferences that can range from accurate to alarmingly personal. While the drive for personalization fuels this data collection, the experience underscores the critical need for greater transparency, user control, and ongoing discussion about the ethical boundaries of algorithmic surveillance in our increasingly digital world.