Making e-bikes safer in California is smart. Smothering this new technology is not 50%

By Paul Thornton59%

7/13/2026, 11:00:00 PM

BS Summary: This article contains 30 faulty reasoning types, including Biased Writer Voice, Hasty Generalization, and Anecdotal, with Negativity Bias as the most egregious example at 24.8% saturation with 190 hits. Analysis detected 2,134 faulty-reasoning hits from 767 analyzed words, generating a BS Score of 50.4% and a BS Rank of 50% (10,612 of 21,204 articles). This article is worse (more manipulative) than 50.00% of the article peer group.

Electric bikes are powering an urban transportation revolution. 
They flatten hills, haul cargo and people, and offer an alternative to driving that doesn’t involve breaking much of a sweat or waiting for a bus. 
I’ve experienced these wonders firsthand. 
For the last three years, I have used an e-bike  an electric-motor assisted bicycle  to do everything from commuting 23 miles across Los Angeles for work to meeting up with friends at places where finding a parking spot takes longer than the drive over. 
In a city choked by traffic and pollution, calling these machines liberating isn’t an overstatement. 
But there’s also been a flurry of media coverage about skyrocketing injuries , prompting local and state authorities to start cracking down on e-bike usage. 
And earlier this year, California legislators looked ready to squeeze the brakes hard on this revolution. 
Happily, they’ve since retreated from e-bike panic and are focused, at least for now, on smarter safety measures. 
Lawmakers in Sacramento have introduced at least eight bills this year targeting e-bike safety. 
One would have added licensing and registration requirements for most e-bikes; another would have rewritten the state’s classification system, making most e-bikes already rolling on California streets illegal. 
Thankfully, those bills died, and with them a level of regulation that could throttle an efficient, clean and fun transportation option in California, and hamper a technology that is already driving the majority of revenue growth in the bicycle industry. 
In contrast, Senate Bill 1167 , introduced by Sen. 
Catherine Blakespear , is a carefully considered response to the most crucial motorized-bike safety concern. 
It seeks to halt the sale of powerful electric motorcycles disguised as e-bikes, and it cleared the state Senate in May and is moving through the Assembly. 
Under California law, electric bicycles cannot exceed 28 mph assisted by the motor (models that people younger than 16 can legally ride are even slower). 
But more powerful devices that go faster than 28 mph  sometimes much faster  are often marketed as e-bikes, even though they are more properly understood as electric motorcycles. 
I’ve seen such powerful electric motorcycles comically passed off as e-bikes simply because, look, there are pedals. 
It’s often electric motorcycles that are implicated in news stories about teenage hooligans on “e-bikes.” 
Consider this one in the Los Angeles Times on June 10:  California’s new Hells Angels: Teens on e-bikes cut a path of danger ,” along with photos clearly not showing e-bikes. 
SB 1167 would, among other things, make it illegal for sellers and manufacturers to call electric motorcycles e-bikes  and require them to go further, disclosing to customers that what they’re about to buy is definitely not an e-bike. 
It’s an effort to prevent people who want an e-bike from unintentionally buying something more dangerous. 
Of course, even a real e-bike has its dangers. 
Studies have noted an alarming rise in children showing up to hospitals with troubling injuries from motorized bike accidents. 
“We’re seeing a high concentration of injuries in children and young adults, many of whom now face lifelong disability,” said Dr. 
Timothy Browder, the trauma medical director at Zuckerberg San Francisco General Hospital, in testimony last month to the Senate Transportation Committee in support of Assembly Bill 2346, another e-bike safety bill before the Legislature. 
“From our bedside conversations, it is clear that parents and consumers are confused. 
They often do not realize how fast these devices go or that modifying them is illegal.” 
But Robin Pam of Streets for All, a group pushing better cycling and pedestrian infrastructure, wonders if medical professionals might be lumping together different kinds of devices. 
During a webinar Thursday hosted by her organization, Pam echoed points made in a study last year by San Jose State University’s Mineta Transportation Institute cautioning that reports of increased injuries fail to distinguish between actual e-bikes and electric motorcycles. 
SB 1167 could shed some light on that. 
Motorized bicycles are already required to carry a permanent label that states their wattage and top assisted speed. 
Blakespear’s bill would require law enforcement officers to note that information when taking reports on injuries or crashes, laying the groundwork for e-bike policy  including possible licensing restrictions and age requirements  based on evidence, not gut feeling. 
Done intelligently, safety regulations do not have to curtail e-bike adoption and all the upsides these joyous devices bring to cities clogged by traffic. 
Policies crafted using data instead of panic might actually lure more people out of their cars and onto two wheels. 
Article reasoning-pattern comparisonThis article: 14.3%Paul Thornton: 7.3%CalMatters: 2.6%Confirmation Bias14.3%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.9%Anchoring Bias0.0%This article: 11.5%Paul Thornton: 7.8%CalMatters: 2.3%Availability Heuristic11.5%This article: 3.9%Paul Thornton: 1.0%CalMatters: 1.0%Representativeness Heuristic3.9%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.4%Hindsight Bias0.0%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.8%Overconfidence Bias0.0%This article: 7.8%Paul Thornton: 9.5%CalMatters: 5.9%Framing Effect7.8%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.8%Loss Aversion0.0%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.6%Status Quo Bias0.0%This article: 5.2%Paul Thornton: 1.3%CalMatters: 0.2%Sunk Cost Effect5.2%This article: 10.2%Paul Thornton: 4.4%CalMatters: 1.9%Optimism Bias10.2%This article: 0.0%Paul Thornton: 0.0%CalMatters: 1.9%Pessimism Bias0.0%This article: 24.8%Paul Thornton: 7.0%CalMatters: 7.8%Negativity Bias24.8%This article: 6.0%Paul Thornton: 2.2%CalMatters: 1.7%Self-Serving Bias6.0%This article: 2.1%Paul Thornton: 0.5%CalMatters: 1.0%Fundamental Attribution Error2.1%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.8%In-Group Bias0.0%This article: 3.5%Paul Thornton: 0.9%CalMatters: 0.3%Out-Group Homogeneity Bias3.5%This article: 10.6%Paul Thornton: 4.0%CalMatters: 1.4%Halo Effect10.6%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.0%Horn Effect0.0%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 5.6%Paul Thornton: 1.4%CalMatters: 1.0%Recency Bias5.6%This article: 4.2%Paul Thornton: 1.0%CalMatters: 0.2%Primacy Effect4.2%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.6%Ad Hominem0.0%This article: 3.7%Paul Thornton: 2.2%CalMatters: 0.2%Straw Man3.7%This article: 14.1%Paul Thornton: 5.9%CalMatters: 3.3%Appeal to Authority14.1%This article: 8.9%Paul Thornton: 3.3%CalMatters: 1.0%False Dilemma8.9%This article: 8.3%Paul Thornton: 3.4%CalMatters: 1.3%Slippery Slope8.3%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.1%Circular Reasoning0.0%This article: 21.4%Paul Thornton: 7.1%CalMatters: 3.8%Hasty Generalization21.4%This article: 5.2%Paul Thornton: 1.3%CalMatters: 0.1%Red Herring5.2%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.4%Bandwagon0.0%This article: 16.9%Paul Thornton: 6.8%CalMatters: 5.3%Appeal to Emotion16.9%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.8%Begging the Question0.0%This article: 3.3%Paul Thornton: 0.8%CalMatters: 2.7%Post Hoc (False Cause)3.3%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.0%Tu Quoque0.0%This article: 3.1%Paul Thornton: 0.8%CalMatters: 0.5%Burden of Proof3.1%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.2%Composition/Division0.0%This article: 17.9%Paul Thornton: 10.3%CalMatters: 1.8%Anecdotal17.9%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 10.6%Paul Thornton: 2.6%CalMatters: 1.2%Ambiguity (Equivocation)10.6%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.1%Middle Ground0.0%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.0%Personal Incredulity0.0%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.3%Special Pleading0.0%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.1%Genetic Fallacy0.0%This article: 6.3%Paul Thornton: 1.6%CalMatters: 0.9%Unattributed Quote6.3%This article: 8.9%Paul Thornton: 3.3%CalMatters: 0.7%Quote-first Misdirection8.9%This article: 22.0%Paul Thornton: 20.0%CalMatters: 3.2%Biased Writer Voice22.0%This article: 5.1%Paul Thornton: 1.3%CalMatters: 0.8%Indoctrination5.1%This article: 4.4%Paul Thornton: 1.1%CalMatters: 0.6%Politically Left Leaning Bias4.4%This article: 0.0%Paul Thornton: 0.0%CalMatters: 0.2%Politically Right Leaning Bias0.0%This article: 8.6%Paul Thornton: 2.2%CalMatters: 1.0%Attempt to Sell a Product or S…8.6%

767 words analyzed.

Speakers

2speakers17%attributed speech637writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 7 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 46 words • 0.0% coverageWriter's voice • 15 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 40 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 15 words • 100.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 15 words • 100.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageTimothy Browder • 34 words • 100.0% coverageTimothy Browder • 13 words • 0.0% coverageTimothy Browder • 16 words • 0.0% coverageRobin Pam • 27 words • 100.0% coverageRobin Pam • 40 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 39 words • 100.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 20 words • 0.0% coverage
Selected voice

Robin Pam

100%flagged-word coverage
67 attributed words52% of attributed speech87% writer coverage
0%22.5%45.0%Unattributed Quote+37.0 ptsWriter: 3.3%Robin Pam: 40.3%40.3%Biased Writer Voice-26.5 ptsWriter: 26.5%Robin Pam: 0.0%0.0%Quote-first Misdirection-10.7 ptsWriter: 10.7%Robin Pam: 0.0%0.0%Attempt to Sell a Product -10.4 ptsWriter: 10.4%Robin Pam: 0.0%0.0%Indoctrination-6.1 ptsWriter: 6.1%Robin Pam: 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.