BS Summary: This article contains 8 faulty reasoning types, including Availability Heuristic, Fundamental Attribution Error, and Framing Effect, with Negativity Bias as the most egregious example at 18.5% saturation with 155 hits. Analysis detected 552 faulty-reasoning hits from 839 analyzed words, generating a BS Score of 26.3% and a BS Rank of 17% (23,454 of 28,115 articles). This article is better (less manipulative) than 83.40% of the article peer group.

Mayor Mamdani is putting online sellers of illegal e-motos and e-scooters on notice. 
The city will issue a cease-and-desist to 42 online retailers who sell two-wheeled electric vehicles that do not meet the city’s legal definition of an e-bike or e-scooter, Hizzoner said on Wednesday. 
“The burden of whether or not the bike they buy is safe and legal should not fall on working New Yorkers who are simply looking for a quick and low-cost mode of transportation. 
It is the responsibility of retailers to only sell the vehicles permissible under New York law in our city,” the mayor said during a press conference at City Hall. 
Amazon, Best Buy, Target, Temu, Teverun, Walmart, Marketplace, Wayfair, Segway, Deepower, Wilson’s E-Bikes and several dozen others will all receive the letters demanding they stop selling unregistered e-motos with speeds over 25 miles per hour, and face up to $2,000 fines per violation if they fail to comply by Aug. 18, the mayor said. 
New York state legalized e-bikes in 2020, but most of the “bikes” involved in electric vehicle crashes can go faster than what state and city law allows, according to data the city shared this week. 
From 2017 to 2025, 54 percent of the people killed on e-bikes were riding illegal vehicles that go over 25 miles per hour, while 52 percent of people killed on stand-up scooters were on illegal vehicles that go over 20 mph, the city said. 
Two-wheeled e-vehicles were involved in a mere 1 percent of crashes so far this year, according to city records. 
Streetsblog previously exposed the online wild-west marketplace of illegal e-motos available for sale for New Yorkers. 
Many of online retailers falsely advertise the vehicles as “e-bikes.” 
“This is not that complicated for these retailers. 
If they are selling an e bike that can go faster than 25, that’s illegal. 
If they are selling an e-scooter that goes faster than 20, that’s illegal,” the mayor said on Wednesday. 
“What we are asking them to do is follow the law that has been the law for more than five years, and yet they continue to violate it. 
Not in a marginal way  we’re talking about vehicles that can go sometimes more than double the legal limit of the speed. 
It’s not one or two miles over, and they are doing this because they know that there is money to be made.” 
City law enforcement officials have issued violations to brick-and-mortar stores that sell these illegal devices from brick-and-mortar locations, but, until now, officials offered no clear plan for the anything-goes online marketplace. 
The NYPD can also confiscate and impound Illegal devices operating on city streets. 
Pressed on whether the city would hone its street-level enforcement against illegal e-motos, the mayor would only say that Wednesday’s announcement was a “first step” towards getting the vehicles off the street. 
The NYPD brought this pamphlet to a store selling electric scooters. 
Mamdani said he does not support calls to register and license all e-bikes and e-bike riders. 
“The focus of today is tackling the root causes of what has led to the loss of many New Yorkers’ lives,” he said. 
“When it comes to registration for e-bikers, I do not believe that that would actually improve street safety, and that’s not an approach that I believe we should move ahead with.” 
The announcement followed the death of teenager Gabriel Nacato who was riding an illegal e-moto on Chambers Street on July 29 when he was struck and killed by an SUV driver. 
Nacato, 17, was riding an e-moto from the brand Deepower that his uncle bought for him online. 
The vehicle had a 1,500-watt motor, double the legal maximum, and was advertised on the Deepower website as reaching 30 mph with a throttle. 
The seller’s website even gave consumers detailed instructions on how to “effortlessly” override the bike’s speed limiter and to go up to 50 mph  until Streetsblog called it out. 
“Many of the devices that New Yorkers think are e-bikes and assume are legal are neither, and many of the retailers who sell these devices contribute to the confusion through their marketing practices and by selling products to New Yorkers that are illegal to operate on our streets,” said Mamdani’s Transportation Commissioner Mike Flynn. 
The Dark Web: The City Can’t Control Online Sales Of Illegal E-Scooters And E-Motos 
Nacato’s death  and a fatal crash earlier in May involving an illegal stand-up e-scooter  spurred a string of actions by elected officials at both the state and local level. 
Last week, Attorney General Letitia James issued a consumer alert to warn those looking to purchase legal e-bikes for city use of the misleading online marketplace filled with illegal devices. 
And City Council Speaker Julie Menin yesterday announced an upcoming legislative review and hearing on at least 17 different bills related to the issue. 
Still, as of Wednesday, New Yorkers could still order the Deepower e-moto Nacato rode directly to their door through the company’s website. 
Article reasoning-pattern comparisonThis article: 0.0%Sophia Lebowitz: 2.8%Streetsblog NYC: 3.6%Confirmation Bias0.0%This article: 0.0%Sophia Lebowitz: 0.4%Streetsblog NYC: 0.8%Anchoring Bias0.0%This article: 11.7%Sophia Lebowitz: 4.4%Streetsblog NYC: 4.3%Availability Heuristic11.7%This article: 0.0%Sophia Lebowitz: 0.1%Streetsblog NYC: 0.7%Representativeness Heuristic0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.3%Hindsight Bias0.0%This article: 0.0%Sophia Lebowitz: 0.9%Streetsblog NYC: 1.9%Overconfidence Bias0.0%This article: 7.6%Sophia Lebowitz: 6.3%Streetsblog NYC: 4.7%Framing Effect7.6%This article: 0.0%Sophia Lebowitz: 0.2%Streetsblog NYC: 0.5%Loss Aversion0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.7%Status Quo Bias0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.2%Sunk Cost Effect0.0%This article: 0.0%Sophia Lebowitz: 1.4%Streetsblog NYC: 4.1%Optimism Bias0.0%This article: 0.0%Sophia Lebowitz: 1.8%Streetsblog NYC: 0.8%Pessimism Bias0.0%This article: 18.5%Sophia Lebowitz: 11.8%Streetsblog NYC: 7.3%Negativity Bias18.5%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.3%Self-Serving Bias0.0%This article: 9.1%Sophia Lebowitz: 1.5%Streetsblog NYC: 0.8%Fundamental Attribution Error9.1%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.2%Actor-Observer Bias0.0%This article: 0.0%Sophia Lebowitz: 0.9%Streetsblog NYC: 0.6%In-Group Bias0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Sophia Lebowitz: 0.2%Streetsblog NYC: 0.6%Halo Effect0.0%This article: 0.0%Sophia Lebowitz: 1.0%Streetsblog NYC: 0.3%Horn Effect0.0%This article: 0.0%Sophia Lebowitz: 0.3%Streetsblog NYC: 0.1%Dunning-Kruger Effect0.0%This article: 7.4%Sophia Lebowitz: 1.6%Streetsblog NYC: 0.8%Recency Bias7.4%This article: 0.0%Sophia Lebowitz: 0.3%Streetsblog NYC: 0.4%Primacy Effect0.0%This article: 0.0%Sophia Lebowitz: 0.1%Streetsblog NYC: 0.0%Blind-Spot Bias0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.3%Ad Hominem0.0%This article: 0.0%Sophia Lebowitz: 0.4%Streetsblog NYC: 0.3%Straw Man0.0%This article: 0.0%Sophia Lebowitz: 2.3%Streetsblog NYC: 2.4%Appeal to Authority0.0%This article: 0.0%Sophia Lebowitz: 0.6%Streetsblog NYC: 1.4%False Dilemma0.0%This article: 0.0%Sophia Lebowitz: 0.7%Streetsblog NYC: 0.2%Slippery Slope0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.0%Circular Reasoning0.0%This article: 5.2%Sophia Lebowitz: 6.5%Streetsblog NYC: 5.3%Hasty Generalization5.2%This article: 0.0%Sophia Lebowitz: 1.1%Streetsblog NYC: 0.3%Red Herring0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.3%Bandwagon0.0%This article: 2.6%Sophia Lebowitz: 4.5%Streetsblog NYC: 3.5%Appeal to Emotion2.6%This article: 3.7%Sophia Lebowitz: 0.6%Streetsblog NYC: 0.9%Begging the Question3.7%This article: 0.0%Sophia Lebowitz: 3.3%Streetsblog NYC: 2.0%Post Hoc (False Cause)0.0%This article: 0.0%Sophia Lebowitz: 0.2%Streetsblog NYC: 0.0%Tu Quoque0.0%This article: 0.0%Sophia Lebowitz: 0.3%Streetsblog NYC: 0.5%Burden of Proof0.0%This article: 0.0%Sophia Lebowitz: 0.1%Streetsblog NYC: 0.0%Appeal to Nature0.0%This article: 0.0%Sophia Lebowitz: 0.6%Streetsblog NYC: 0.2%Composition/Division0.0%This article: 0.0%Sophia Lebowitz: 1.2%Streetsblog NYC: 2.5%Anecdotal0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.0%No True Scotsman0.0%This article: 0.0%Sophia Lebowitz: 2.8%Streetsblog NYC: 0.8%Ambiguity (Equivocation)0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.0%Middle Ground0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.0%Personal Incredulity0.0%This article: 0.0%Sophia Lebowitz: 0.1%Streetsblog NYC: 0.1%Special Pleading0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.0%Genetic Fallacy0.0%This article: 0.0%Sophia Lebowitz: 1.3%Streetsblog NYC: 1.2%Unattributed Quote0.0%This article: 0.0%Sophia Lebowitz: 0.6%Streetsblog NYC: 0.7%Quote-first Misdirection0.0%This article: 0.0%Sophia Lebowitz: 6.6%Streetsblog NYC: 5.9%Biased Writer Voice0.0%This article: 0.0%Sophia Lebowitz: 0.3%Streetsblog NYC: 2.1%Indoctrination0.0%This article: 0.0%Sophia Lebowitz: 0.6%Streetsblog NYC: 0.7%Politically Left Leaning Bias0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Sophia Lebowitz: 0.0%Streetsblog NYC: 0.2%Attempt to Sell a Product or S…0.0%

839 words analyzed.

Speakers

2speakers34%attributed speech555writer words
Selected voice

Mike Flynn

100%flagged-word coverage
54 attributed words19% of attributed speech54% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

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.