New York City Makes It Easy to Cancel Subscriptions 30%

By Prajwal Bhat34%

7/13/2026, 3:58:36 PM

BS Summary: This article contains 24 faulty reasoning types, including Negativity Bias, Appeal to Emotion, and Politically Left Leaning Bias, with Framing Effect as the most egregious example at 25.8% saturation with 147 hits. Analysis detected 958 faulty-reasoning hits from 569 analyzed words, generating a BS Score of 39.9% and a BS Rank of 30% (15,382 of 21,887 articles). This article is better (less manipulative) than 70.30% of the article peer group.

New York City became the first municipality in the country to adopt rules that require businesses to make canceling a subscription as easy as signing up for one. 
Mayor Zohran Mamdani announced the “click-to-cancel” rule July 10, and it takes effect on October 1. 
The new rule promises hefty fines and aggressive enforcement for companies that violate them. 
Companies that do not provide a simple option to cancel subscriptions could pay $525 per user subscription. 
The rules will extend to all companies that run online subscriptions with customers in New York City including online tools, streaming services, and gym memberships. 
The announcement builds on an executive order Mamdani signed four days into his term in January directing the city’s Department of Consumer and Worker Protection to crack down on subscription traps and deceptive pricing citywide. 
“If you can sign up with one click, you should be able to cancel with one click,” Mamdani told reporters at a press conference held in a gym in Lower Manhattan on July 10. 
Lina Khan, former chair of the Federal Trade Commission, said the agency received tens of thousands of complaints each year from people who lost money to predatory subscription practices. 
“These are not just the tactics of fly-by-night scammers,” she said. 
“These are now part of the business model for some of the largest companies in our economy.” 
She pointed to an FTC investigation that found Amazon executives had run an internal initiative called Project Iliad specifically designed to make canceling a subscription harder. 
Speaking about the new rules, Khan said they reflect the vision of municipal socialism Mamdani has pushed since taking office: “They represent an upwards transfer of wealth; often from people who are already living on the financial margins of this city, to people who are ultimately looking to buy a private jet or a second yacht.” 
The New York click-to-cancel rule follows a federal version brought forward by the FTC under Khan, who chaired the agency from 2021 to 2025. 
That proposal faced fierce pushback from the US Chamber of Commerce, the nation’s largest trade organization, which said the regulations amounted to micromanaging business practices. 
A federal judge later sided with the chamber’s legal challenges and stopped the rules from taking effect. 
Sam Levine, now commissioner of New York City’s Department of Consumer and Worker Protection, led the FTC's Bureau of Consumer Protection alongside Khan. 
He said the new rules were written on similar lines to the federal rules and adapted to New York city law. 
“The court struck the FTC rules down saying the steps were not followed, and the current administration is really slow-walking it,” Levine explained. 
“So rather than waiting for the federal government, we are using our tools here to implement this protection.” 
Levine said that any business that sells a subscription service to New Yorkers are going to be bound by the rules. 
He added that the city administration is also targeting “junk fees” that increase the final price of everything from apartments to sporting events, with a rule that requires sellers to “advertise the total price for any good or service, including all mandatory additional charges and fees, up front.” 
This is the latest in a string of consumer and worker protection actions since Mamdani took office, which included a citywide ban on hidden hotel "junk fees" that took effect in February. 
Article reasoning-pattern comparisonThis article: 6.2%Prajwal Bhat: 1.5%The Nation: 5.4%Confirmation Bias6.2%This article: 3.0%Prajwal Bhat: 0.7%The Nation: 0.4%Anchoring Bias3.0%This article: 5.1%Prajwal Bhat: 2.5%The Nation: 2.9%Availability Heuristic5.1%This article: 3.0%Prajwal Bhat: 0.7%The Nation: 1.2%Representativeness Heuristic3.0%This article: 3.0%Prajwal Bhat: 0.7%The Nation: 1.1%Hindsight Bias3.0%This article: 3.7%Prajwal Bhat: 0.9%The Nation: 1.9%Overconfidence Bias3.7%This article: 25.8%Prajwal Bhat: 17.4%The Nation: 6.9%Framing Effect25.8%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.5%Loss Aversion0.0%This article: 3.2%Prajwal Bhat: 0.8%The Nation: 0.4%Status Quo Bias3.2%This article: 5.6%Prajwal Bhat: 1.4%The Nation: 0.2%Sunk Cost Effect5.6%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 2.0%Optimism Bias0.0%This article: 4.0%Prajwal Bhat: 1.0%The Nation: 1.8%Pessimism Bias4.0%This article: 22.7%Prajwal Bhat: 5.7%The Nation: 11.0%Negativity Bias22.7%This article: 0.0%Prajwal Bhat: 1.0%The Nation: 0.9%Self-Serving Bias0.0%This article: 0.0%Prajwal Bhat: 3.5%The Nation: 1.5%Fundamental Attribution Error0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.3%Actor-Observer Bias0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 2.5%In-Group Bias0.0%This article: 4.4%Prajwal Bhat: 1.1%The Nation: 0.9%Out-Group Homogeneity Bias4.4%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 1.8%Halo Effect0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.3%Horn Effect0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.0%Dunning-Kruger Effect0.0%This article: 5.6%Prajwal Bhat: 1.4%The Nation: 1.0%Recency Bias5.6%This article: 4.9%Prajwal Bhat: 1.2%The Nation: 0.6%Primacy Effect4.9%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.1%Blind-Spot Bias0.0%This article: 0.0%Prajwal Bhat: 1.0%The Nation: 3.3%Ad Hominem0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 1.2%Straw Man0.0%This article: 4.6%Prajwal Bhat: 1.1%The Nation: 3.4%Appeal to Authority4.6%This article: 9.1%Prajwal Bhat: 3.8%The Nation: 2.4%False Dilemma9.1%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 1.7%Slippery Slope0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.1%Circular Reasoning0.0%This article: 7.9%Prajwal Bhat: 5.9%The Nation: 8.6%Hasty Generalization7.9%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.2%Red Herring0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.8%Bandwagon0.0%This article: 9.8%Prajwal Bhat: 7.4%The Nation: 7.5%Appeal to Emotion9.8%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 1.4%Begging the Question0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 3.4%Post Hoc (False Cause)0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.2%Tu Quoque0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.5%Burden of Proof0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.2%Appeal to Nature0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.6%Composition/Division0.0%This article: 5.1%Prajwal Bhat: 1.3%The Nation: 2.4%Anecdotal5.1%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.2%No True Scotsman0.0%This article: 3.7%Prajwal Bhat: 0.9%The Nation: 1.5%Ambiguity (Equivocation)3.7%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.1%Middle Ground0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.1%Personal Incredulity0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.1%Special Pleading0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.3%Genetic Fallacy0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 1.6%Unattributed Quote0.0%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 1.1%Quote-first Misdirection0.0%This article: 7.7%Prajwal Bhat: 2.5%The Nation: 16.5%Biased Writer Voice7.7%This article: 6.0%Prajwal Bhat: 1.5%The Nation: 4.4%Indoctrination6.0%This article: 9.8%Prajwal Bhat: 9.8%The Nation: 9.0%Politically Left Leaning Bias9.8%This article: 0.0%Prajwal Bhat: 0.0%The Nation: 0.3%Politically Right Leaning Bias0.0%This article: 4.4%Prajwal Bhat: 1.1%The Nation: 0.4%Attempt to Sell a Product or S…4.4%

569 words analyzed.

Speakers

3speakers56%attributed speech249writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 100.0% coverageWriter's voice • 28 words • 0.0% coverageZohran Mamdani • 16 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 35 words • 100.0% coverageZohran Mamdani • 34 words • 100.0% coverageLina Khan • 29 words • 0.0% coverageLina Khan • 11 words • 0.0% coverageLina Khan • 17 words • 0.0% coverageLina Khan • 26 words • 0.0% coverageLina Khan • 56 words • 100.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageSam Levine • 21 words • 0.0% coverageSam Levine • 23 words • 0.0% coverageSam Levine • 18 words • 0.0% coverageSam Levine • 21 words • 0.0% coverageSam Levine • 48 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverage
Selected voice

Lina Khan

100%flagged-word coverage
139 attributed words43% of attributed speech71% writer coverage
0%22.5%45.0%Politically Left Leaning B+40.3 ptsWriter: 0.0%Lina Khan: 40.3%40.3%Biased Writer Voice-17.7 ptsWriter: 17.7%Lina Khan: 0.0%0.0%Attempt to Sell a Product -10.0 ptsWriter: 10.0%Lina Khan: 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.