Apple Could Owe Some Users up to $5,000 Each in This Class Action Lawsuit 26%

By Jake Peterson50%

8/4/2026, 2:00:01 PM

BS Summary: This article contains 24 faulty reasoning types, including Biased Writer Voice, False Dilemma, and Negativity Bias, with Framing Effect as the most egregious example at 27.6% saturation with 245 hits. Analysis detected 1,293 faulty-reasoning hits from 888 analyzed words, generating a BS Score of 30.7% and a BS Rank of 26% (22,710 of 30,584 articles). This article is better (less manipulative) than 74.30% of the article peer group.

Apple is no stranger to class action lawsuits. 
The company had to pay customers $50 million over its infamous "butterfly keyboards," and $250 million over the AI features it promised to ship with certain iPhones but didn't. 
(Many of those features, by the way, are now coming out this year .) 
But in all my time covering Apple lawsuits, I'm not sure I've ever seen a potential payout this huge. 
As reported by The Times , Apple is facing a $32.5 billion class action lawsuit, though the actual suit might be even more notable than the sum. 
Why is Apple being sued? 
As The Times reports, the basis for the lawsuit surrounds Apple's collection of biometric data, specifically the data it collected from Illinois citizens. 
The suit claims Apple violated Illinois law by collecting these users' biometric data through facial recognition without properly notifying them. 
The state passed the "Illinois Biometric Information Privacy Act" in 2008 to protect users from companies that collect data like retina or "iris scans, fingerprints, voiceprints or faceprints." 
The law says companies can collect this information, but only after getting written consent from each user. 
The lawsuit claims Apple's Photos app automatically uses facial recognition to scan faces in a user's library and develop a "faceprint" for each person it finds. 
According to the suit, Apple's Photos app then uses an algorithm to single out the iPhone user. 
Once it does, it creates and stores biometric data on the device to categorize that user in the app. 
One hitch for Apple is that not all of this data is stored on the users' device, at least as the lawsuit sees it. 
As users can sync Photos data across devices, plaintiffs say that Apple stores their biometric data on its servers, which would violate the law. 
The lawsuit is divided into three classes : "Local Device Class," which impacts Illinois citizens whose Apple devices put a picture of them into a People album any time between Sept. 13, 2016 and today; "iCloud Subclass," which impacts Illinois citizens who had a People album tagged with their name or another identifier, and had an iCloud account enabled for photo storage, at any time between Sept. 13, 2016 and today; and "iCloud Faceprint Subclass," which impacts Illinois citizens who had a device running iOS 17.6, iPadOS 17.6, or macOS Sonoma 14.6 or later, with a device that put their photo into a People album, and who had 5,000 or more photos and videos in their iCloud Photo library, any time between March 25, 2025 and today. 
Apple, on the other hand, has been seeking to throw out the case. 
The company argues that the privacy safeguards it develops for Photos are in compliance with the Illinois law, including the fact that the raw biometric data cannot be used to recreate a face or be linked to someone's identity, and that Apple itself cannot access your Photos data. 
Crucially, Apple claims that all facial recognition processes happen on each device individually . 
What syncs across devices are labels: If you choose to identify a friend or family member in the Photos app on your iPhone, that gets synced with, say, your Mac, but your Mac then has to go through the task of identifying photos with that person in them-it won't simply carry over that data from your iPhone. 
This case is not new. 
According to 9to5Mac , it was first filed back in March of 2020. 
Though it has changed much in the six years since, this week marked a significant milestone, as an Illinois judge ruled the plaintiffs had met the requirements for a class action lawsuit. 
Meta faced a similar lawsuit 
Apple is not the first company to face such a class action lawsuit in violation of the 2008 Illinois law. 
Meta, or Facebook as it was known at the time, had to pay in a similar case back in 2021. 
That lawsuit also started years earlier, back in 2015, and claimed that the company did not get user consent before using facial tagging features. 
Unlike Apple, there was no ambiguity as to whether or not Meta stored user data on its servers. 
Under the law, users were entitled to $345, and three were given $5,000 each. 
In total, Meta had to spend $650 million to settle the suit, accounting for roughly 6.9 million Facebook users in Illinois. 
By comparison, the Apple lawsuit impacts approximately 6.5 million users. 
How much will Apple have to pay individual users? 
While Meta had to pay most users $345, Apple could be facing much steeper payouts in this case. 
Each victim may be entitled to up to $5,000. 
Assuming each of the 6.5 million is paid that amount, Apple will have shelled out $32.5 billion. 
It marks about 0.7% of the company's $4.5 trillion market valuation, which might not sound like much percentage-wise, but it's far greater than the typical "speeding ticket" companies like Apple are used to paying. 
It's too early to know whether you'll be entitled to a cut of this suit. 
Apple could still have it tossed, after all. 
But it's a remarkable development in class-action lawsuits against big tech companies, particularly after what we saw from Meta's lawsuit five years ago. 
Article reasoning-pattern comparisonThis article: 2.7%Jake Peterson: 1.7%Lifehacker: 2.5%Confirmation Bias2.7%This article: 5.6%Jake Peterson: 0.5%Lifehacker: 2.4%Anchoring Bias5.6%This article: 7.7%Jake Peterson: 3.1%Lifehacker: 2.9%Availability Heuristic7.7%This article: 3.4%Jake Peterson: 0.8%Lifehacker: 1.1%Representativeness Heuristic3.4%This article: 3.6%Jake Peterson: 0.4%Lifehacker: 0.2%Hindsight Bias3.6%This article: 1.9%Jake Peterson: 2.6%Lifehacker: 2.3%Overconfidence Bias1.9%This article: 27.6%Jake Peterson: 3.5%Lifehacker: 4.5%Framing Effect27.6%This article: 0.0%Jake Peterson: 2.3%Lifehacker: 1.9%Loss Aversion0.0%This article: 0.0%Jake Peterson: 0.5%Lifehacker: 0.8%Status Quo Bias0.0%This article: 0.0%Jake Peterson: 0.1%Lifehacker: 0.0%Sunk Cost Effect0.0%This article: 2.0%Jake Peterson: 3.7%Lifehacker: 3.7%Optimism Bias2.0%This article: 0.9%Jake Peterson: 1.5%Lifehacker: 1.3%Pessimism Bias0.9%This article: 9.1%Jake Peterson: 3.1%Lifehacker: 4.1%Negativity Bias9.1%This article: 6.9%Jake Peterson: 1.6%Lifehacker: 0.9%Self-Serving Bias6.9%This article: 0.0%Jake Peterson: 0.2%Lifehacker: 0.4%Fundamental Attribution Error0.0%This article: 0.0%Jake Peterson: 0.1%Lifehacker: 0.1%Actor-Observer Bias0.0%This article: 0.0%Jake Peterson: 0.4%Lifehacker: 0.4%In-Group Bias0.0%This article: 0.0%Jake Peterson: 0.0%Lifehacker: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Jake Peterson: 1.4%Lifehacker: 4.0%Halo Effect0.0%This article: 0.0%Jake Peterson: 0.0%Lifehacker: 0.1%Horn Effect0.0%This article: 0.0%Jake Peterson: 0.0%Lifehacker: 0.0%Dunning-Kruger Effect0.0%This article: 6.2%Jake Peterson: 0.9%Lifehacker: 1.0%Recency Bias6.2%This article: 0.0%Jake Peterson: 0.3%Lifehacker: 0.3%Primacy Effect0.0%This article: 0.0%Jake Peterson: 0.0%Lifehacker: 0.1%Blind-Spot Bias0.0%This article: 0.0%Jake Peterson: 0.0%Lifehacker: 0.0%Ad Hominem0.0%This article: 0.0%Jake Peterson: 0.0%Lifehacker: 0.0%Straw Man0.0%This article: 4.1%Jake Peterson: 2.1%Lifehacker: 3.2%Appeal to Authority4.1%This article: 10.5%Jake Peterson: 1.4%Lifehacker: 1.6%False Dilemma10.5%This article: 0.0%Jake Peterson: 0.4%Lifehacker: 0.5%Slippery Slope0.0%This article: 0.0%Jake Peterson: 0.2%Lifehacker: 0.1%Circular Reasoning0.0%This article: 6.1%Jake Peterson: 4.1%Lifehacker: 5.1%Hasty Generalization6.1%This article: 0.0%Jake Peterson: 0.1%Lifehacker: 0.1%Red Herring0.0%This article: 0.0%Jake Peterson: 0.6%Lifehacker: 0.8%Bandwagon0.0%This article: 2.6%Jake Peterson: 1.7%Lifehacker: 2.0%Appeal to Emotion2.6%This article: 0.0%Jake Peterson: 0.3%Lifehacker: 0.3%Begging the Question0.0%This article: 0.0%Jake Peterson: 1.1%Lifehacker: 1.0%Post Hoc (False Cause)0.0%This article: 0.0%Jake Peterson: 0.0%Lifehacker: 0.0%Tu Quoque0.0%This article: 2.9%Jake Peterson: 0.3%Lifehacker: 0.3%Burden of Proof2.9%This article: 1.6%Jake Peterson: 0.0%Lifehacker: 0.1%Appeal to Nature1.6%This article: 1.9%Jake Peterson: 0.1%Lifehacker: 0.1%Composition/Division1.9%This article: 6.0%Jake Peterson: 3.0%Lifehacker: 2.5%Anecdotal6.0%This article: 0.0%Jake Peterson: 0.1%Lifehacker: 0.1%No True Scotsman0.0%This article: 2.3%Jake Peterson: 1.6%Lifehacker: 2.2%Ambiguity (Equivocation)2.3%This article: 0.0%Jake Peterson: 0.0%Lifehacker: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jake Peterson: 0.1%Lifehacker: 0.2%Middle Ground0.0%This article: 0.0%Jake Peterson: 0.1%Lifehacker: 0.1%Personal Incredulity0.0%This article: 5.4%Jake Peterson: 0.2%Lifehacker: 0.2%Special Pleading5.4%This article: 0.0%Jake Peterson: 0.0%Lifehacker: 0.0%Genetic Fallacy0.0%This article: 3.0%Jake Peterson: 0.9%Lifehacker: 0.9%Unattributed Quote3.0%This article: 0.0%Jake Peterson: 0.0%Lifehacker: 0.1%Quote-first Misdirection0.0%This article: 21.7%Jake Peterson: 5.6%Lifehacker: 9.0%Biased Writer Voice21.7%This article: 0.0%Jake Peterson: 5.2%Lifehacker: 5.0%Indoctrination0.0%This article: 0.0%Jake Peterson: 0.0%Lifehacker: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Jake Peterson: 0.0%Lifehacker: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Jake Peterson: 3.7%Lifehacker: 12.9%Attempt to Sell a Product or S…0.0%

888 words analyzed.

Speakers

3speakers11%attributed speech790writer words
Selected voice

Apple

100%flagged-word coverage
62 attributed words63% of attributed speech75% writer coverage
0%12.5%25.0%Biased Writer Voice-24.4 ptsWriter: 24.4%Apple: 0.0%0.0%Unattributed Quote-3.4 ptsWriter: 3.4%Apple: 0.0%0.0%

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

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Analysis

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