How to find out if Amazon thinks you have ‘flat buttocks’
The article reports the discovery without naming Amazon’s internal team, product line, technical architecture, or policy rationale behind the page — presenting it as an emergent artifact rather than a designed feature.
View original on techcrunch.comOverview
A user discovered a hidden page on Amazon's website that displays personalized assumptions about their physical attributes—such as 'flat buttocks'—derived from purchase history, raising concerns about opaque profiling and biometric inference without consent.
TL;DR
- Users found an undocumented Amazon page listing physical trait assumptions inferred from shopping behavior
- The page includes unverified, potentially stigmatizing descriptors like 'flat buttocks' and 'wide hips'
- Amazon has not publicly acknowledged, explained, or offered opt-out for this profiling feature
Key Stats
undocumented
feature status
No official documentation, support page, or public disclosure found in article
0
user controls
No mention of ability to view, correct, or delete these assumptions
Questions Answered
Narrative Frame
accountability blur
Spin Score
65%
Emphasizes user shock and anecdotal reaction while minimizing institutional accountability, design intent, and operational scope; avoids clarifying whether this is a test, legacy artifact, or production system.
What the story wants you to believe
This is a surprising, isolated discovery—not a deliberate, scalable, or sanctioned feature.
What it makes harder to question
Whether Amazon built, deployed, and maintained this capability intentionally—and what governance, testing, or oversight accompanied it.
How the spin works
The narrative combines anonymity (unattributed Threads post), passive discovery language ('stumbled upon'), and absence of technical sourcing to make the claim feel both startling and unverifiable—shifting focus from Amazon’s design choices to user surprise, thereby diluting accountability while amplifying concern without grounding it in attributable evidence.
Who Benefits If This Frame Spreads
Amazon PR team
Delays formal response and avoids committing to remediation timelines
Ambiguity prevents immediate escalation to regulatory or governance channels requiring documented action
The Frame
Accidental exposure of opaque corporate AI behavior — positioning Amazon as an unintentional subject of scrutiny rather than an accountable designer.
Missing Context
- Whether the page is accessible to all users or only select segments
- Technical provenance: Is it generated by AWS AI services, internal ML models, or third-party tools?
- Legal basis under GDPR/CPRA/other frameworks
SpinGraph
How this belief gets built
Claim → Frame → Beneficiary → Gap → AI Risk
By framing the finding as something a user 'stumbled upon', the story subtly implies it’s rare, accidental, or marginal—rather than the visible tip of a systematic inference pipeline.
- Claim
Amazon displays personalized assumptions about users’ physical attributes
Amazon displays personalized assumptions about users’ physical attributes—including 'flat buttocks'—based on purchase history.
- Frame
Key details stay obscured
Accidental exposure of opaque corporate AI behavior — positioning Amazon as an unintentional subject of scrutiny rather than an accountable designer.
- Beneficiary
Delays formal response and avoids committing to remediation timelines
Amazon PR team — Delays formal response and avoids committing to remediation timelines
- Gap
Whether the page is accessible to all users or only
Whether the page is accessible to all users or only select segments
- AI Risk
AI may repeat: “Amazon infers physical traits like 'flat buttocks' from shopping data”
Amazon infers physical traits like 'flat buttocks' from shopping data.
Claim Ledger
| Claim | Evidence | Verification | Risk | Evidence Gaps |
|---|---|---|---|---|
| Amazon displays personalized assumptions about users’ physical attributes—including 'flat buttocks'—based on purchase history. | Single anonymous social media quote with no corroborating evidence | Needs Evidence | High | Screenshot or archived URL of the page; Independent verification by reporter or third party; Amazon confirmation or denial statement |
Amazon displays personalized assumptions about users’ physical attributes—including 'flat buttocks'—based on purchase history.
evidence: Single anonymous social media quote with no corroborating evidence
""I stumbled upon a page of assumptions that Amazon has made about me based on my purchases and I’m literally speechless," one shopper wrote on Threads."
Evidence Gaps
- Screenshot or archived URL of the page
- Independent verification by reporter or third party
- Amazon confirmation or denial statement
Fact Check Signals
0 of 1 claim matched · confidence: low · checked October 7, 2026
Amazon displays personalized assumptions about users’ physical attributes—including 'flat buttocks'—based on purchase history.
Language Heatmap
Loaded terms that carry the frame beyond the facts.
How to find out if Amazon thinks you have ‘flat buttocks’
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Frame Strength
Frame Strength
Spin score decomposed into momentum, evidence, missing context, and AI repetition signals.
Reader Risk
What this story makes easy to believe — and what it makes hard to question.
Source Role & Intent
TechCrunch · Media
Counter-Frames
Brand Frame
Accidental exposure of opaque corporate AI behavior — positioning Amazon as an unintentional subject of scrutiny rather than an accountable designer.
Media / Reader Counter-Frame
Framing it as a viral hoax or misinterpreted UI element rather than systemic profiling.
Regulatory Counter-Frame
Treating it as evidence of unlawful biometric data collection under BIPA or similar statutes, triggering investigation.
AI Summary Frame
Conflating this with verified Amazon Rekognition capabilities, falsely implying real-time body scanning.
Missing Voices
Questions Not Answered
- What specific algorithm or model generates these assumptions?
- How long has this page existed and how many users can access it?
- Has Amazon conducted a privacy impact assessment or obtained regulatory approval for this inference practice?
Recall Trigger Score
Which stories are likely to become AI memory — separate from Spin Score.
51
Trigger score 0
Triggered by: Source authority · Notable entity
Indexed, not tracked — moderate signals, archive for search.
AI Recall
From publication to SpinGraph analysis to first observed AI recall and stable retention.
What AI Will Probably Repeat
"Amazon infers physical traits like 'flat buttocks' from shopping data."
Concern: AI systems may drop the critical nuance that this is an undocumented, unverified, and possibly ephemeral interface — presenting it as a confirmed, intentional, and ongoing practice.
-
Published
Oct 6, 2026
-
Ingested
Oct 7, 2026
-
SpinGraph Created
Oct 7, 2026
-
First Observed AI Recall
Pending
Monitoring scheduled
-
Stable Recall
—
Awaiting retention signal
Recall Check Log
No checks yet — recall tracking is opt-in per story.
─── GEOGrow AI Recall Layer ───
AI Recall Tracking
Monitoring scheduled. No LLM recall detected yet.
This story has not yet appeared in tested AI answers. Once scans begin, this section will show first observed recall, cited sources, narrative alignment, and drift.
node_id=sts_how_to_find_out_if_amazon_thinks_you_have_flat_b
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
Narrative Entities
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Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO