9to5Mac58%

Security Bite: A note on camera covers in 2026 48%

By Arin Waichulis0%

7/4/2026, 3:21:00 AM

BS Summary: This article contains 30 faulty reasoning types, including Anecdotal, Hasty Generalization, and Appeal to Authority, with Negativity Bias as the most egregious example at 26.8% saturation with 148 hits. Analysis detected 1,715 faulty-reasoning hits from 553 analyzed words, generating a BS Score of 49.1% and a BS Rank of 48% (11,466 of 21,887 articles). This article is better (less manipulative) than 52.40% of the article peer group.

Plastic webcam covers—especially of the sliding kind—boomed in popularity sometime in the 2010s as a low-tech way to keep hackers from eavesdropping on compromised machines. 
The concern felt justified at the time. 
But by 2020, Apple was beginning to issue warnings that those covers aren’t actually needed and can even damage a MacBook’s display. 
For this Security Bite, let’s set aside our tin-foil hats and talk about how webcam covers don’t meaningfully improve privacy, could cause features like True Tone to not work properly, and are far more likely to damage your screen than stop someone from spying on you. 
Green light indicator myth 
On more modern Macs—those with Apple Silicon and Intel (post-2008)—a malicious hacker can’t turn on your webcam without also triggering the green privacy indicator. 
The camera module hardware doesn’t allow it. 
Macs produced before 2008 are a different story, though. 
Security researchers at Johns Hopkins published a 2013 paper showing that Macs released prior to 2008 could, under certain advanced attacks, be coerced into powering the camera without the green LED indicator. 
It makes sense considering back then, Apple tied the camera sensor and indicator together with software. 
However, this changed in late 2008, when Apple redesigned the camera module so the sensor and the green light share the same physical circuit. 
This way, the camera couldn’t receive power unless the LED did too. 
Fast-forward to today, and there’s still no known malware capable of bypassing that hardware design, likely because there’s no software to compromise anymore. 
There’s also a neat tool called Oversight, created by Apple security researcher Patrick Wardle of Objective-See, that alerts you whenever the webcam is active. 
This is useful as some macOS malware will even wait until you’re away from your Mac before trying to activate the camera, so tools like this help expose that behavior. 
Paper-thin screen clearance 
Apart from the danger to privacy, there’s also a danger of seriously cracking your MacBook’s screen. 
Apple explicitly warns against closing a MacBook (Air or Pro) with anything thicker than 0.1 mm—basically a sheet of paper—between the display and the chassis. 
Today’s Retina panels are super thin and sit on extremely tight hinge tolerances. 
When you stick a cover over the camera and close the lid, you’re applying pressure to a concentrated spot on one of the most fragile parts of the screen. 
Closing the lid of MacBooks with time will cause the screen to get scratched where the keyboard keys are, ruining the entire middle part of the display. 
Since I made that realization, I put a glasses’ lens cleaner cloth over the keyboard before closing the lid, ESPECIALLY if I need to take the laptop out with me. 
Never had a scratch since. 
I wouldn’t dream of putting one on my M4 MacBook Air daily driver, which already shows ghostly marks where the display presses against the keyboard in my backpack. 
In short, these accessories are doing significantly more harm to your hardware than good for your privacy. 
Have another Security Bite 
Does ‘Ask App Not to Track’ actually work? 
Beware sketchy ChatGPT-clones slipping back into App Store charts 
So, what happened to cross-platform E2EE for RCS messaging? 
Apple quietly shipped one of its most practical security features yet 
Follow Arin: Twitter/X, LinkedIn, Threads 
Article reasoning-pattern comparisonThis article: 20.4%Arin Waichulis: 2.5%9to5Mac: 2.7%Confirmation Bias20.4%This article: 0.0%Arin Waichulis: 0.8%9to5Mac: 2.2%Anchoring Bias0.0%This article: 11.0%Arin Waichulis: 2.5%9to5Mac: 2.8%Availability Heuristic11.0%This article: 7.4%Arin Waichulis: 0.9%9to5Mac: 1.0%Representativeness Heuristic7.4%This article: 2.9%Arin Waichulis: 0.8%9to5Mac: 0.3%Hindsight Bias2.9%This article: 15.9%Arin Waichulis: 5.4%9to5Mac: 2.9%Overconfidence Bias15.9%This article: 8.3%Arin Waichulis: 5.3%9to5Mac: 5.3%Framing Effect8.3%This article: 2.9%Arin Waichulis: 0.7%9to5Mac: 1.3%Loss Aversion2.9%This article: 1.6%Arin Waichulis: 0.8%9to5Mac: 0.7%Status Quo Bias1.6%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Sunk Cost Effect0.0%This article: 0.0%Arin Waichulis: 0.9%9to5Mac: 3.4%Optimism Bias0.0%This article: 4.9%Arin Waichulis: 1.5%9to5Mac: 1.9%Pessimism Bias4.9%This article: 26.8%Arin Waichulis: 5.6%9to5Mac: 4.6%Negativity Bias26.8%This article: 5.4%Arin Waichulis: 1.9%9to5Mac: 0.7%Self-Serving Bias5.4%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.4%Fundamental Attribution Error0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Actor-Observer Bias0.0%This article: 0.0%Arin Waichulis: 0.6%9to5Mac: 0.3%In-Group Bias0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Out-Group Homogeneity Bias0.0%This article: 6.3%Arin Waichulis: 2.1%9to5Mac: 3.5%Halo Effect6.3%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Horn Effect0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Dunning-Kruger Effect0.0%This article: 5.1%Arin Waichulis: 0.6%9to5Mac: 1.8%Recency Bias5.1%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.4%Primacy Effect0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Blind-Spot Bias0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Ad Hominem0.0%This article: 0.0%Arin Waichulis: 1.0%9to5Mac: 0.1%Straw Man0.0%This article: 20.6%Arin Waichulis: 3.6%9to5Mac: 3.6%Appeal to Authority20.6%This article: 13.0%Arin Waichulis: 1.9%9to5Mac: 1.4%False Dilemma13.0%This article: 4.9%Arin Waichulis: 1.0%9to5Mac: 0.6%Slippery Slope4.9%This article: 1.3%Arin Waichulis: 0.2%9to5Mac: 0.2%Circular Reasoning1.3%This article: 21.0%Arin Waichulis: 6.5%9to5Mac: 4.8%Hasty Generalization21.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Red Herring0.0%This article: 2.0%Arin Waichulis: 3.9%9to5Mac: 0.8%Bandwagon2.0%This article: 12.8%Arin Waichulis: 5.3%9to5Mac: 2.2%Appeal to Emotion12.8%This article: 0.7%Arin Waichulis: 0.1%9to5Mac: 0.6%Begging the Question0.7%This article: 8.1%Arin Waichulis: 1.0%9to5Mac: 1.9%Post Hoc (False Cause)8.1%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Tu Quoque0.0%This article: 11.2%Arin Waichulis: 1.3%9to5Mac: 0.4%Burden of Proof11.2%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Appeal to Nature0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Composition/Division0.0%This article: 23.7%Arin Waichulis: 6.2%9to5Mac: 2.4%Anecdotal23.7%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%No True Scotsman0.0%This article: 17.5%Arin Waichulis: 2.1%9to5Mac: 1.9%Ambiguity (Equivocation)17.5%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Middle Ground0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Personal Incredulity0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.2%Special Pleading0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.1%Genetic Fallacy0.0%This article: 4.3%Arin Waichulis: 0.5%9to5Mac: 2.4%Unattributed Quote4.3%This article: 0.7%Arin Waichulis: 0.1%9to5Mac: 0.4%Quote-first Misdirection0.7%This article: 19.3%Arin Waichulis: 6.7%9to5Mac: 6.0%Biased Writer Voice19.3%This article: 11.4%Arin Waichulis: 2.3%9to5Mac: 2.1%Indoctrination11.4%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Arin Waichulis: 0.0%9to5Mac: 0.0%Politically Right Leaning Bias0.0%This article: 18.4%Arin Waichulis: 10.5%9to5Mac: 15.7%Attempt to Sell a Product or S…18.4%

553 words analyzed.

Speakers

3speakers15%attributed speech472writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 46 words • 100.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageJohns Hopkins • 32 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageObjective-See • 24 words • 100.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageApple • 25 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverage
Selected voice

Objective-See

100%flagged-word coverage
24 attributed words30% of attributed speech99% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%Objective-See: 100.0%100.0%Attempt to Sell a Product +90.3 ptsWriter: 9.7%Objective-See: 100.0%100.0%Biased Writer Voice-22.7 ptsWriter: 22.7%Objective-See: 0.0%0.0%Indoctrination-13.3 ptsWriter: 13.3%Objective-See: 0.0%0.0%Quote-first Misdirection-0.8 ptsWriter: 0.8%Objective-See: 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.