Engadget36%

Phoebe Gates' AI Shopping App Phia Reportedly Claimed Unearned Affiliate Sales Through Fake Clicks 47%

By Cheyenne MacDonald22%

7/11/2026, 8:29:36 PM

BS Summary: This article contains 7 faulty reasoning types, including Negativity Bias, Appeal to Authority, and Recency Bias, with Bandwagon as the most egregious example at 15.5% saturation with 39 hits. Analysis detected 139 faulty-reasoning hits from 251 analyzed words, generating a BS Score of 49% and a BS Rank of 47% (8,103 of 15,051 articles). This article is better (less manipulative) than 53.80% of the article peer group.

Phoebe Gates' AI shopping app Phia reportedly claimed unearned affiliate sales through fake clicks 
Gates, who is Bill Gates’ daughter, founded the app alongside Sophia Kianni. 
By Cheyenne MacDonald 
July 11, 2026 4:29 pm EST 
According to multiple reports, the AI-powered shopping plugin Phia used a tactic known as cookie stuffing to attach its affiliate code to sales it didn't actually drive. 
Phia, which launched last spring, was co-founded by Phoebe Gates  Bill Gates' daughter  and Sophia Kianni. 
Investigations by researcher Ben Edelman , Bloomberg and Capital One Shopping all reportedly found instances of the browser extension claiming referrals through fake clicks, and even taking credit for sales that other publishers should have gotten the commission for. 
Edelman published a detailed breakdown on how this worked, complete with a video showing Phia's "affiliate link invisibly loaded into a second tab" on iOS after visiting a merchant's website. 
It's worth reading through. 
Phia has blamed the issues highlighted in the investigations on a bug. 
In a statement to Bloomberg , a spokesperson for the company said, "Within the last 24 hours, we were made aware that in a recent release our codebase was causing misattributions from a subset of users. 
As soon as we were notified, our team worked overnight to identify, mitigate, and has since resolved the issue." 
The feature that enabled all of this rolled out in December 2025, Edelman and Bloomberg both reported. 
Confirmation Bias
0%
Anchoring Bias
0%
Availability Heuristic
0%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
4.8%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
0%
Negativity Bias
11.2%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
4.8%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
6.8%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
10.8%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
0%
Red Herring
0%
Bandwagon
15.5%
Appeal to Emotion
0%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
1.6%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

251 words analyzed.

Speakers

1speaker22%attributed speech196writer words
Voice mapSelect a segment to jump to its words
Selected voice

Phia

0%flagged-word coverage
55 attributed words100% of attributed speech71% writer coverage
Biased Writer Voice-2.0 pts
Writer 2.0%Phia 0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.