The Verge56%

Tesla’s robotaxi promises are clashing with reality 67%

By Andrew J. Hawkins60%

7/23/2026, 5:09:31 PM

BS Summary: This article contains 28 faulty reasoning types, including Negativity Bias, Optimism Bias, and Ambiguity (Equivocation), with Biased Writer Voice as the most egregious example at 36% saturation with 288 hits. Analysis detected 1,351 faulty-reasoning hits from 799 analyzed words, generating a BS Score of 60.3% and a BS Rank of 67% (7,401 of 21,886 articles). This article is worse (more manipulative) than 66.20% of the article peer group.

In an earnings call yesterday, Tesla CEO Elon Musk did his best to paint a positive portrait of the company’s robotaxi program. 
New cities are being added, more miles are being driven, and more people are experiencing Tesla’s unsupervised vehicles. 
But Musk’s typical bullishness seemed to be absent from the call, as the occasional trillionaire sought to temper expectations about the program’s future. 
“We’re going as fast as humanly possible in scaling Robotaxi,” Musk said, “while trying to ensure that we do not harm anyone at all and ideally do not even run over a pet.” 
Musk’s insistence that Tesla’s robotaxi service was growing is clashing with the reality of the situation: Mileage is basically flat, the number of vehicles appears to be shrinking, and despite the Tesla executive team’s claims of “zero notable incidents,” the safety of the company’s technology appears to be an open question. 
Tesla did it’s best to frame the situation as headed in the right direction. 
Ashok Elluswamy, the company’s head of AI, said that Tesla’s unsupervised robotaxis have driven 380,000 miles across six cities in two different states. 
And according to Musk, that was increasing at a rate of 10 percent a week in terms of miles driven. 
Elluswamy couldn’t help but take a swipe at Tesla’s competitors who use lidar sensors, as opposed to Tesla’s camera-0nly approach. 
“Historically, the so-called experts have always claimed that you need lidars, radars, HD maps, and the entire kitchen sink to drive safely,” he said. 
“Here we show that such is not true. 
You can have safe, comfortable, and affordable autonomy with just cameras. 
This record should be a huge validation of Tesla’s entire AI approach.” 
But even the numbers that Tesla reported seem to betray that message. 
Waymo, which uses lidar sensors and radar as redundant sensors in addition to cameras, typically drives around four million miles a week. 
Tesla’s total mileage, a year into its robotaxi program, is less than 10 percent of that figure. 
This reality is starting to spook investors, with BNP Paribas Equity Research senior analyst James Picariello calling it “an alarming decline” in a research note to clients. 
Tesla uses a mix of unsupervised and supervised vehicles as part of its fleet, but that ratio appears to be in a constant state of flux. 
According to the crowdsourced Robotaxi Tracker, the company currently only has 16 unsupervised vehicles in Austin, four in Dallas, and one in Houston. 
During the earnings call, Elluswamy was asked what was preventing Tesla from flooding the zone in Austin, where it first launched its robotaxis a year ago, as opposed to dropping a small number of vehicles in new cities. 
“The reason we have been expanding across different cities, instead of just doubling down on a single city, is that we want to make sure that our stack is a very general one,” Elluswamy said. 
“It is a general one. 
We just want to like, you know, both prove to ourselves and to other folks that it is working across a lot of different cities without too much effort per city.” 
Another limiting factor is state regulations. 
New Jersey is considering a bill that would essentially ban robotaxis without multiple sensors, like radar and lidar. 
Morgan Stanley analyst Andrew Percoco flagged this on the call, noting “there seems to be some evolving regulations at the state level, potentially around sensor requirements.” 
To which Tesla’s vice president of vehicle engineering Lars Morvay acknowledged “obviously the stuff in New Jersey, you know, is a little bit disheartening.” 
A more restrictive regulatory environment could limit the total addressable market for Tesla robotaxis, which would clash with the company’s message about a more generalized service that can drive anywhere, under any conditions. 
Safety is another obstacle. 
Musk’s comment about wanting to avoid running over anyone’s pet appeared to be a subtle swipe at Waymo, which has hit and killed a number of animals over the past several years. 
But Tesla’s safety record is a mixed bag. 
We don’t have a lot of great insight into Tesla’s robotaxi crashes because the company tends to redact a lot of the important details. 
According to the Robotaxi Tracker, the company’s fleet has been involved in approximately 18 incidents, 56 percent of which were the fault of another driver. 
And Tesla’s Full Self-Driving is under investigation by the National Highway Traffic Safety Administration, with the potential for a future recall. 
Tesla’s robotaxis are currently running version 15 of FSD, as compared to version 14.3.6 on its customer vehicles. 
Tesla is asking investors, supporters, and customers to look past these shortcomings as it continues to push the message that it’s robotaxi program is growing. 
But the company continues to run into a reality that contradicts that message. 
Article reasoning-pattern comparisonThis article: 8.5%Andrew J. Hawkins: 4.7%The Verge: 3.6%Confirmation Bias8.5%This article: 0.0%Andrew J. Hawkins: 0.5%The Verge: 1.3%Anchoring Bias0.0%This article: 9.3%Andrew J. Hawkins: 3.5%The Verge: 3.8%Availability Heuristic9.3%This article: 2.1%Andrew J. Hawkins: 1.6%The Verge: 1.3%Representativeness Heuristic2.1%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.7%Hindsight Bias0.0%This article: 1.4%Andrew J. Hawkins: 3.0%The Verge: 1.7%Overconfidence Bias1.4%This article: 5.0%Andrew J. Hawkins: 3.9%The Verge: 6.2%Framing Effect5.0%This article: 3.0%Andrew J. Hawkins: 0.8%The Verge: 0.9%Loss Aversion3.0%This article: 0.0%Andrew J. Hawkins: 0.2%The Verge: 0.5%Status Quo Bias0.0%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.4%Sunk Cost Effect0.0%This article: 11.0%Andrew J. Hawkins: 9.0%The Verge: 4.0%Optimism Bias11.0%This article: 4.5%Andrew J. Hawkins: 0.6%The Verge: 2.4%Pessimism Bias4.5%This article: 18.0%Andrew J. Hawkins: 8.9%The Verge: 9.7%Negativity Bias18.0%This article: 1.8%Andrew J. Hawkins: 2.3%The Verge: 1.5%Self-Serving Bias1.8%This article: 2.9%Andrew J. Hawkins: 0.4%The Verge: 0.8%Fundamental Attribution Error2.9%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.2%Actor-Observer Bias0.0%This article: 2.5%Andrew J. Hawkins: 1.2%The Verge: 0.6%In-Group Bias2.5%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Andrew J. Hawkins: 1.7%The Verge: 2.8%Halo Effect0.0%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.2%Horn Effect0.0%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Andrew J. Hawkins: 1.0%The Verge: 1.8%Recency Bias0.0%This article: 0.0%Andrew J. Hawkins: 0.1%The Verge: 0.4%Primacy Effect0.0%This article: 3.0%Andrew J. Hawkins: 0.4%The Verge: 0.1%Blind-Spot Bias3.0%This article: 7.0%Andrew J. Hawkins: 1.9%The Verge: 1.1%Ad Hominem7.0%This article: 0.0%Andrew J. Hawkins: 1.2%The Verge: 0.3%Straw Man0.0%This article: 6.6%Andrew J. Hawkins: 2.8%The Verge: 4.0%Appeal to Authority6.6%This article: 4.8%Andrew J. Hawkins: 2.0%The Verge: 1.6%False Dilemma4.8%This article: 4.1%Andrew J. Hawkins: 1.1%The Verge: 1.2%Slippery Slope4.1%This article: 1.5%Andrew J. Hawkins: 0.2%The Verge: 0.2%Circular Reasoning1.5%This article: 3.1%Andrew J. Hawkins: 6.2%The Verge: 6.8%Hasty Generalization3.1%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.2%Red Herring0.0%This article: 0.0%Andrew J. Hawkins: 0.2%The Verge: 0.7%Bandwagon0.0%This article: 3.1%Andrew J. Hawkins: 2.9%The Verge: 4.2%Appeal to Emotion3.1%This article: 1.0%Andrew J. Hawkins: 0.1%The Verge: 1.1%Begging the Question1.0%This article: 0.0%Andrew J. Hawkins: 2.0%The Verge: 2.3%Post Hoc (False Cause)0.0%This article: 0.0%Andrew J. Hawkins: 0.5%The Verge: 0.2%Tu Quoque0.0%This article: 0.0%Andrew J. Hawkins: 0.1%The Verge: 0.8%Burden of Proof0.0%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.3%Appeal to Nature0.0%This article: 2.1%Andrew J. Hawkins: 0.9%The Verge: 0.3%Composition/Division2.1%This article: 6.0%Andrew J. Hawkins: 2.5%The Verge: 3.6%Anecdotal6.0%This article: 0.0%Andrew J. Hawkins: 0.3%The Verge: 0.1%No True Scotsman0.0%This article: 10.4%Andrew J. Hawkins: 2.5%The Verge: 2.2%Ambiguity (Equivocation)10.4%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.1%Middle Ground0.0%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.1%Personal Incredulity0.0%This article: 0.0%Andrew J. Hawkins: 0.4%The Verge: 0.2%Special Pleading0.0%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.2%Genetic Fallacy0.0%This article: 3.0%Andrew J. Hawkins: 0.4%The Verge: 2.6%Unattributed Quote3.0%This article: 4.1%Andrew J. Hawkins: 0.6%The Verge: 1.4%Quote-first Misdirection4.1%This article: 36.0%Andrew J. Hawkins: 9.2%The Verge: 10.8%Biased Writer Voice36.0%This article: 0.0%Andrew J. Hawkins: 0.7%The Verge: 1.1%Indoctrination0.0%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 1.6%Politically Left Leaning Bias0.0%This article: 0.0%Andrew J. Hawkins: 0.0%The Verge: 0.1%Politically Right Leaning Bias0.0%This article: 3.1%Andrew J. Hawkins: 0.4%The Verge: 4.2%Attempt to Sell a Product or S…3.1%

799 words analyzed.

Speakers

7speakers42%attributed speech462writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 7 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageElon Musk • 33 words • 100.0% coverageWriter's voice • 51 words • 100.0% coverageWriter's voice • 14 words • 100.0% coverageAshok Elluswamy • 23 words • 0.0% coverageElon Musk • 20 words • 0.0% coverageWriter's voice • 20 words • 100.0% coverageAshok Elluswamy • 24 words • 0.0% coverageAshok Elluswamy • 8 words • 0.0% coverageAshok Elluswamy • 11 words • 0.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 12 words • 100.0% coverageWaymo • 22 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageBNP Paribas Equity Research • 27 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageRobotaxi Tracker • 23 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageAshok Elluswamy • 35 words • 0.0% coverageAshok Elluswamy • 5 words • 0.0% coverageAshok Elluswamy • 31 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageMorgan Stanley • 26 words • 0.0% coverageLars Morvay • 24 words • 0.0% coverageWriter's voice • 33 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 24 words • 100.0% coverageRobotaxi Tracker • 25 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverage
100%flagged-word coverage
27 attributed words8.0% of attributed speech81% writer coverage
0%32.5%65.0%Biased Writer Voice-62.3 ptsWriter: 62.3%BNP Paribas Equity Research: 0.0%0.0%Attempt to Sell a Product -5.4 ptsWriter: 5.4%BNP Paribas Equity Research: 0.0%0.0%Unattributed Quote-5.2 ptsWriter: 5.2%BNP Paribas Equity Research: 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.