The Verge55%

Lorde says Ray-Ban Meta AI glasses are ‘not sexy’ 34%

By Terrence O'Brien58%

7/12/2026, 8:10:19 PM

BS Summary: This article contains 24 faulty reasoning types, including Negativity Bias, Framing Effect, and Indoctrination, with Biased Writer Voice as the most egregious example at 17.9% saturation with 79 hits. Analysis detected 831 faulty-reasoning hits from 441 analyzed words, generating a BS Score of 41.8% and a BS Rank of 34% (14,161 of 21,175 articles). This article is better (less manipulative) than 66.90% of the article peer group.

Lorde says Ray-Ban Meta AI glasses are ‘not sexy’ 
Jul 12, 2026, 8:10 PM UTC 
Lorde performing at the 2026 Governors Ball. 
Photo: Siegfried Anthony/Billboard via Getty Images 
Terrence O'Brien is the Verge’s weekend editor. 
He’s covered the tech industry for over 18 years and knows a thing or two about synths. 
Lorde was performing at the Real Cool Festival in Madrid on Thursday and took some time during her set to speak out against AI glasses . 
While she didn’t specify any brands in particular, it’s likely she was taking a shot at festival sponsor Ray-Ban, which has collaborated with Meta on a pair of AI smartglasses. 
The comments were captured in videos shared to social media. 
After thanking the crowd for being there and taking part in “something real,” she said that it was increasingly hard to know is and isn’t real, before saying “You don’t know if someone is wearing sunglasses or if they’re wearing those fucked up fucking… Can I just say, for the record, fuck the glasses. 
Don’t get the glasses. 
Not sexy.” 
The comments come as Meta faces renewed scrutiny over its smart glasses. 
And, even in the face of that backlash , it is still reportedly planning to launch a pair of  super sensing  glasses that are continuously recording. 
According to Stereogum , Lorde was followed on stage by Blackpink’s Jennie, who is a Ray-Ban Meta AI ambassador and has been featured in advertising campaigns on Instagram and in a video screened between sets at Real Cool. 
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Article reasoning-pattern comparisonThis article: 8.8%Terrence O'Brien: 4.3%The Verge: 3.6%Confirmation Bias8.8%This article: 0.0%Terrence O'Brien: 0.1%The Verge: 1.3%Anchoring Bias0.0%This article: 3.9%Terrence O'Brien: 3.8%The Verge: 3.7%Availability Heuristic3.9%This article: 0.0%Terrence O'Brien: 0.8%The Verge: 1.3%Representativeness Heuristic0.0%This article: 2.7%Terrence O'Brien: 1.1%The Verge: 0.8%Hindsight Bias2.7%This article: 0.0%Terrence O'Brien: 0.8%The Verge: 1.7%Overconfidence Bias0.0%This article: 15.9%Terrence O'Brien: 8.9%The Verge: 6.0%Framing Effect15.9%This article: 0.0%Terrence O'Brien: 0.6%The Verge: 0.9%Loss Aversion0.0%This article: 0.0%Terrence O'Brien: 0.3%The Verge: 0.5%Status Quo Bias0.0%This article: 0.0%Terrence O'Brien: 0.3%The Verge: 0.4%Sunk Cost Effect0.0%This article: 5.9%Terrence O'Brien: 2.1%The Verge: 4.0%Optimism Bias5.9%This article: 9.3%Terrence O'Brien: 1.8%The Verge: 2.3%Pessimism Bias9.3%This article: 16.8%Terrence O'Brien: 12.1%The Verge: 9.4%Negativity Bias16.8%This article: 0.0%Terrence O'Brien: 1.0%The Verge: 1.4%Self-Serving Bias0.0%This article: 0.0%Terrence O'Brien: 0.4%The Verge: 0.7%Fundamental Attribution Error0.0%This article: 0.0%Terrence O'Brien: 0.3%The Verge: 0.1%Actor-Observer Bias0.0%This article: 0.0%Terrence O'Brien: 0.7%The Verge: 0.6%In-Group Bias0.0%This article: 0.0%Terrence O'Brien: 1.5%The Verge: 0.4%Out-Group Homogeneity Bias0.0%This article: 8.6%Terrence O'Brien: 2.9%The Verge: 2.9%Halo Effect8.6%This article: 0.0%Terrence O'Brien: 0.6%The Verge: 0.2%Horn Effect0.0%This article: 0.0%Terrence O'Brien: 0.0%The Verge: 0.0%Dunning-Kruger Effect0.0%This article: 2.7%Terrence O'Brien: 1.3%The Verge: 1.8%Recency Bias2.7%This article: 0.0%Terrence O'Brien: 0.9%The Verge: 0.4%Primacy Effect0.0%This article: 0.0%Terrence O'Brien: 0.0%The Verge: 0.1%Blind-Spot Bias0.0%This article: 0.0%Terrence O'Brien: 3.4%The Verge: 1.2%Ad Hominem0.0%This article: 0.0%Terrence O'Brien: 1.0%The Verge: 0.4%Straw Man0.0%This article: 12.5%Terrence O'Brien: 6.1%The Verge: 4.0%Appeal to Authority12.5%This article: 7.5%Terrence O'Brien: 1.1%The Verge: 1.6%False Dilemma7.5%This article: 2.0%Terrence O'Brien: 1.6%The Verge: 1.2%Slippery Slope2.0%This article: 0.0%Terrence O'Brien: 0.4%The Verge: 0.1%Circular Reasoning0.0%This article: 7.9%Terrence O'Brien: 5.9%The Verge: 6.7%Hasty Generalization7.9%This article: 0.0%Terrence O'Brien: 0.4%The Verge: 0.2%Red Herring0.0%This article: 2.0%Terrence O'Brien: 1.3%The Verge: 0.7%Bandwagon2.0%This article: 2.7%Terrence O'Brien: 6.6%The Verge: 4.3%Appeal to Emotion2.7%This article: 0.0%Terrence O'Brien: 1.5%The Verge: 1.1%Begging the Question0.0%This article: 7.5%Terrence O'Brien: 3.5%The Verge: 2.3%Post Hoc (False Cause)7.5%This article: 0.0%Terrence O'Brien: 0.3%The Verge: 0.2%Tu Quoque0.0%This article: 3.6%Terrence O'Brien: 0.5%The Verge: 0.8%Burden of Proof3.6%This article: 0.0%Terrence O'Brien: 0.0%The Verge: 0.3%Appeal to Nature0.0%This article: 0.0%Terrence O'Brien: 0.2%The Verge: 0.3%Composition/Division0.0%This article: 1.1%Terrence O'Brien: 2.7%The Verge: 3.6%Anecdotal1.1%This article: 0.0%Terrence O'Brien: 0.1%The Verge: 0.1%No True Scotsman0.0%This article: 12.2%Terrence O'Brien: 2.6%The Verge: 2.2%Ambiguity (Equivocation)12.2%This article: 0.0%Terrence O'Brien: 0.0%The Verge: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Terrence O'Brien: 0.1%The Verge: 0.1%Middle Ground0.0%This article: 0.0%Terrence O'Brien: 0.2%The Verge: 0.1%Personal Incredulity0.0%This article: 0.0%Terrence O'Brien: 0.0%The Verge: 0.2%Special Pleading0.0%This article: 0.0%Terrence O'Brien: 0.2%The Verge: 0.2%Genetic Fallacy0.0%This article: 12.2%Terrence O'Brien: 3.2%The Verge: 2.5%Unattributed Quote12.2%This article: 2.7%Terrence O'Brien: 2.9%The Verge: 1.4%Quote-first Misdirection2.7%This article: 17.9%Terrence O'Brien: 11.4%The Verge: 10.7%Biased Writer Voice17.9%This article: 13.2%Terrence O'Brien: 2.0%The Verge: 1.1%Indoctrination13.2%This article: 0.0%Terrence O'Brien: 3.5%The Verge: 1.7%Politically Left Leaning Bias0.0%This article: 0.0%Terrence O'Brien: 0.1%The Verge: 0.1%Politically Right Leaning Bias0.0%This article: 8.6%Terrence O'Brien: 3.7%The Verge: 4.2%Attempt to Sell a Product or S…8.6%

441 words analyzed.

Speakers

10speakers56%attributed speech194writer words
Voice mapSelect a segment to jump to its words
Lorde • 9 words • 0.0% coverageLorde • 9 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageBillboard • 6 words • 0.0% coverageTerrence O'Brien • 7 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageLorde • 26 words • 0.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageLorde • 54 words • 100.0% coverageLorde • 4 words • 100.0% coverageLorde • 2 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageMeta • 28 words • 100.0% coverageStereogum • 38 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageMeta • 15 words • 0.0% coverageApple • 8 words • 0.0% coverageAdam Mosseri • 16 words • 0.0% coverageWriter's voice • 12 words • 100.0% coverageMicrosoft • 9 words • 0.0% coverageStevie Bonifield • 4 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageConstantin Koehncke • 12 words • 0.0% coverage
Selected voice

Lorde

58%flagged-word coverage
104 attributed words42% of attributed speech81% writer coverage
0%30.0%60.0%Indoctrination+55.8 ptsWriter: 0.0%Lorde: 55.8%55.8%Unattributed Quote+51.9 ptsWriter: 0.0%Lorde: 51.9%51.9%Biased Writer Voice-26.3 ptsWriter: 26.3%Lorde: 0.0%0.0%Attempt to Sell a Product -19.6 ptsWriter: 19.6%Lorde: 0.0%0.0%Quote-first Misdirection-6.2 ptsWriter: 6.2%Lorde: 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.