Tesla FSD Beta testers are debunking the claims that FSD doesn’t stop for “children.” Tesla FSD Beta critic, The Dawn Project, recently aired EV ads showing clips of a test that it paid for. These tests, according to The Dawn Project, show that Tesla’s FSD Beta “Tesla’s FSD software “repeatedly hits child-sized mannequins.”
Dan O’Dowd, the founder of The Dawn Project, said that Tesla’s FSD is “a lethal threat to all Americans.” Earlier this year, O’Dowd placed a full-page ad in the New York Times campaigning to ban Tesla’s FSD. He also ran for the state senate in California. His entire campaign was centered around banning Tesla’s FSD.
Debunking the claims that Tesla’s FSD Beta hits “children”
Many Tesla owners and FSD Beta testers not only disagree, but some have decided to perform their own tests. On Twitter, @WholeMarsBlog shared a thread of the many instances Tesla’s FSD Beta reacted to pedestrians and children. He pointed out that spreading misinformation is similar to running ads telling people not to wear seat belts.
Another Tesla FSD Beta tester, @TeslaDriver2022 performed their own test. I reached out to them and we spoke on the phone. @TeslaDriver2022 told me that they’ve been beta testing the software for over a year now and have seen a ton of improvements over the past year.
https://twitter.com/tesladriver2022/status/1557152108071342085
“Prior to the Beta program and even owning Teslas, I’ve owned Volvos for years with their Pilot Assist program which is kind of like basic Autopilot. And I was not seeing that progress. I have a family and I want my children in the safest vehicles which is why we had gotten Volvos.”
@TeslaDriver2022 told me that they would see Tesla’s video and eventually they made the switch to Tesla. Their partner drives a Model Y and they drive a Model 3.
“I became very interested in the potential of Tesla’s technology and when it came time for us to get new cars we both bought Teslas because we thought they were the safest vehicles for our family to be in.”
After driving with Volvo’s Pilot Assist for years, @TeslaDriver2022 said that Tesla’s FSD Beta continues to improve.
“The FSD Beta has just been getting better exponentially even since I’ve been using it. Just some of the predictions it’s got and the capabilities to understand when things are getting in their path. Not even that. Some of the most impressive stuff is just when I’m driving down the road at 45 miles an hour and there’s a car that will turn in front of me to get into a parking lot.
“Its ability to understand whether or not that car is gonna make it or not and whether or not it needs to slow down. It’s becoming very human-like.”
@TeslaDriver2022’s Tesla FSD Beta test with “children”
I asked @TeslaDriver2022 what was it about O’Dowd’s ad that inspired them to perform their own Tesla FSD Beta testing with a “child.” @TeslaDriver2022 told me that they thought the ad “simply just was not true.”
“That commercial is 100%, not the experience I’ve ever had driving my Tesla.”
“I saw his ad on the news after work yesterday and I thought, ‘what is this?!‘ And to be honest with you, I didn’t really know too much about him until that came out. Later on, I was just sitting on the couch really bothered by the ad.
“I drive with FSD Beta with my kids in the car all the time. I see how safe it is. It’s safer than anything else that’s out there. I was talking to my partner and joking and said that ‘I’m about to go into the garage and get one of our Amazon boxes, cut out a cardboard ‘child’ and put one of our kids’ jackets on it and run a test.’”
@TeslaDriver2022’s partner thought this was brilliant and they immediately ran the tests. They ran multiple tests and after tweeting it, received feedback from various Twitter users wanting them to perform other variations of the tests.
“When I originally tested it, I did around eight different tests and in every single one of them, the vehicle would path predict around the cardboard ‘child.’ It wasn’t even ever a close call. It went around the child-sized object every single time.”
After doing the tests that Twitter users suggested, @TeslaDriver2022 recorded what they said was the most impressive of the results.
“I had my neighbor come over and I did a couple of other videos. One was more to the right, one with the ‘child’ crossing the street, and one where my neighbor just launched it out and I think the launched-out ones were a little bit more impressive because that shows a lot of the AI that Tesla has.”
In the last set of tests, the launching out of the cardboard ‘child’ simulates an all too common scenario where a child runs out in front of an oncoming car. The fact that Tesla’s AI was able to tell what was happening and avoided hitting the object is telling.
“I don’t necessarily believe a lot of other vehicles have that. And the fact that Tesla is constantly updating it and making it better is what’s really impressive about it.”
Tesla FSD sees 👁 children — don’t believe the fake rigged Tesla games the competition pays to put in Newspapers & TV media.
Remember TeslaQ, the haters, they have a lot of money betting against Tesla. It’s all dirty tricks. https://t.co/Zhjn66dKi1
— K10✨ (@Kristennetten) August 10, 2022
Disclaimer: Johnna is long Tesla.
I’d love to hear from you! If you have any comments, concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter @JohnnaCrider1
A Texas man has been arrested and charged with manslaughter after his Tesla crashed into a home last month, striking a woman inside and killing her. The driver, Michael Butler, claimed the vehicle was in self-driving mode, but information from Tesla shows that Butler overrode the system.
Butler was arrested on Wednesday and booked at the Harris County, Texas, jail. He remained in custody through Thursday and Friday; he did not enter a plea, and his next court hearing is scheduled for Monday.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
There are a handful of new clues in the case that could clear Tesla of any wrongdoing, especially as the woman who was killed’s family, the Avilas, filed a wrongful death lawsuit against Tesla and Butler, seeking at least $1 million in damages.
Charging documents from the Harris County prosecutor now show that Butler, who was working DoorDash the evening of the accident, had been using Full Self-Driving mode without incident through the duration of multiple deliveries that evening.
In the moments leading up to the crash, while in FSD and approaching a left turn, Butler pressed the accelerator pedal, overriding FSD’s speed control, and continued to push it until it reached 100 percent. This caused rapid acceleration; the brake pedal was never pressed, and there is no data to show that Butler aimed to turn away from the curb or house.
The charging documents state:
“I noted that the brake pedal was never pressed in the final minute before the crash. I also did not see any data to indicate that the driver attempted to turn away from the curb that he eventually struck. Further, I observed that no mechanical error was detected or recorded by the vehicle before BUTLER and the Tesla struck the curb.”
Additionally, a forensic analysis of Butler’s phone showed that he searched Google around the time of the crash with queries questioning why FSD was “too timid,” “not aggressive enough,” and even searched, “FSD is not aggressive enough for city driving.”
The documents outlined this:
“Investigator Veal also informed me that he had received BUTLER’s cell phone from Deputy Amad and that HDAO digital forensics team had completed a data extraction and download of the phone. Multiple Google searches related to Tesla had been made from BUTLER’s phone in the months leading up the crash. I noted multiple searches in May of 2026 indicating an apparent frustration with Tesla’s FSD mode, including the following searches: “Tesla fsd not aggressive enough 2026 model,” “Tesla fsd not [sic) aggressive enough 2026,” “FSD is not aggressive enough for city driving,” and “tesla fsd too timid.”‘
Tesla had claimed just after the crash that its internal data showed Butler had overridden the system’s speed control and pressed the accelerator completely, causing the vehicle to travel at an excessive rate of speed. Eventually, the car slammed into Avila’s house, killing her.
Butler has now been formally charged with Manslaughter, a felony.
Tesla shocked with its quarterly delivery report yesterday by reporting it delivered 480,126 vehicles in the second quarter of 2026, a 25 percent year-over-year jump that crushed Wall Street estimates of roughly 400,000–408,000 units. Production reached 451,758, with Model 3 and Model Y accounting for the vast majority.
The result ended two years of annual delivery declines and drew down inventory, signaling demand that outpaced earlier production.
Tesla bears had long warned that the expiration of the U.S. federal EV tax credit would hammer demand. Without the $7,500 incentive, they argued, American buyers would balk at higher effective prices, leading to a sharp slowdown.
Will Tesla thrive without the EV tax credit? Five reasons why they might
That narrative has not played out as predicted. While U.S. EV sales faced broader headwinds, Tesla’s global numbers held firm, underscoring the company’s ability to offset domestic pressure through other levers.
There are several plausible factors that explain Tesla’s strength during this quarter. Let’s take a look at them:
Rising Gas Prices
Rising gas prices provided a powerful tailwind, especially in the U.S.
Geopolitical tensions tied to the Iran conflict pushed fuel costs higher earlier in the year, amplifying the lifetime savings of electric vehicles. Even as oil prices later moderated, the psychological and financial impact lingered, encouraging fleet operators and private buyers to accelerate EV purchases. European sales rebounded sharply, helping drive the quarter’s outperformance.
Full Self-Driving Adoption
Advances in Full Self-Driving (FSD) supervised software also appear to have boosted appeal. Tesla expanded FSD availability in select European markets and continued refining the system.
No complaints from me because I finally got to enjoy this drive on FSD; I usually like to manually drive down this mountain https://t.co/RBFniRPSR0 pic.twitter.com/XQ5sOpN1Yg
— TESLARATI (@Teslarati) June 26, 2026
For tech-oriented buyers, the promise of future autonomy and enhanced driver-assistance features adds perceived value beyond the car itself. This differentiation helps Tesla stand out in a crowded market where competitors focus primarily on hardware and basic range.
Pricing Strategy, Affordable Configurations
Tesla’s offerings and its pricing strategy during Q2 further stimulated demand. Tesla introduced lower-cost versions of the Model 3 and Model Y, widening accessibility without sacrificing core margins.
These moves countered affordability concerns and attracted buyers who had been waiting on the sidelines. Combined with attractive financing and leasing options, the pricing strategy converted interest into actual orders more effectively than many analysts expected.
Broad European Recovery
Supported by government incentives, corporate fleet electrification, and easing political headwinds around CEO Elon Musk, Tesla was supplied additional momentum through stronger registration numbers throughout Europe.
Strong exports from the Shanghai Gigafactory and a production ramp at Giga Berlin ensured supply met this resurgent demand. Corporate buyers, in particular, accelerated transitions to EVs to meet sustainability targets, providing a steady volume base.
These elements created a virtuous cycle that delivered the strong deliveries report. While bears correctly flagged the loss of the U.S. tax credit as a risk, Tesla’s diversified playbook demonstrated that it could remain resilient against those headwinds. The Q2 beat suggests the company remains adept at navigating shifting market conditions, even as competition intensifies.
A Tesla Semi was involved in a fatal collision on U.S. Highway 50 in Dayton, Nevada, on Sunday, June 28, 2026, marking the first known fatal crash involving the electric Class 8 truck. The incident occurred around 7:20 a.m. at the intersection with Traditions Parkway, approximately 40 miles east of Reno and close to Tesla’s Gigafactory Nevada.
According to the Lyon County Sheriff’s Office and the Nevada State Police Highway Patrol, a semi-truck struck two passenger vehicles stopped at a traffic signal. The truck hit the vehicles from behind. Two people were pronounced dead at the scene, and a third person suffered life-threatening injuries and was flown to a hospital, Forbes reported.
Preliminary statements gathered at the scene by the Lyon County Sheriff’s Office suggested the truck driver may have fallen asleep at the wheel. However, the Nevada Highway Patrol, which is leading the investigation, stated that the official cause has not yet been determined.
Additional information is expected to be released early the following week. The truck was seized for evidence as part of the ongoing probe.
Responders at the scene included deputies from the Lyon County Sheriff’s Office, personnel from the Nevada Highway Patrol, Central Lyon County Fire Department, and the Nevada Department of Transportation. The crash led to the temporary closure of U.S. 50 in both directions.
The Tesla Semi is Tesla’s battery-electric heavy-duty truck, produced at the nearby Gigafactory in Nevada. Authorities initially described the vehicle as a semi-truck; its make was subsequently confirmed through reporting and scene identification; an interesting bit of information here, as the Semi is not yet available publicly and many do not know that Tesla builds electric trucks.
The investigation remains active, with no further official details on contributing factors or vehicle systems released as of early July 2026.
This incident highlights ongoing scrutiny of commercial vehicle safety on Nevada highways, particularly involving fatigue. Law enforcement continues to gather evidence and witness statements.
Texas man charged in fatal Tesla crash where he blamed Autopilot
Tesla’s strong Q2 deliveries: Four key drivers behind the surprise
