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Tesla vehicles are 8x less likely to be involved in fires, shows latest safety report
Tesla has released its vehicle safety report for the second quarter of 2019. Similar to previous quarters, the report showed that Teslas operating on Autopilot are less likely to meet accidents on the road compared to vehicles operating without the driver-assist system enabled. Tesla’s report this quarter also included statistics on vehicle fires for the first time.
Fires involving Teslas are quite rare, with some quarters having recorded no vehicle fires at all. This, according to Tesla, results in some challenges, as an increase from one fire per quarter to two fires per quarter would result in a raise of 100%. Tesla has thus stated that it will provide annual vehicle fire data to avoid a misrepresentation of numbers and assure a meaningful comparison to the industry average.
The electric car maker’s data shows that between 2012-2018, there was approximately one Tesla vehicle fire for every 170 million miles traveled. Considering that the National Fire Protection Association (NFPA) and the US Department of Transportation record one vehicle fire for every 19 million miles traveled, Tesla’s figures make its electric cars over eight times less likely to be involved fires.
It should also be noted that Tesla’s vehicle fire statistics for 2012-2018 are not exclusive to incidents where the electric cars actually catch fire. Instead, Tesla’s data includes incidents resulting from structure fires, arson, and several other factors unrelated to the vehicles themselves.
Tesla’s Q2 2019 vehicle safety report also showed one accident for every 3.27 million miles driven with Autopilot engaged. Vehicles without Autopilot but have Tesla’s active safety features engaged, on the other hand, recorded one accident for every 2.19 million miles driven. Cars operating with no Autopilot and active safety features enabled recorded one accident every 1.41 million miles.
These figures are an improvement to Tesla’s first-quarter results, when the company recorded one accident for every 2.87 million miles driven on Autopilot, 1.76 million miles driven with active safety features but no Autopilot, and 1.26 million miles driven with no Autopilot and active safety features enabled. These results, while below the figures for the second quarter, are still notably superior to the NHTSA’s data, which currently stand at one accident for every 498,000 miles driven.
Tesla’s electric cars are among the safest vehicles on the road. The Model 3, for example, has earned stellar safety ratings from both the NHTSA and the Euro-NCAP, where the electric sedan set a new benchmark for safety. The Model 3 was granted a perfect 5-Star rating by the Euro NCAP in all four of its safety tests’ categories: Adult Occupant Protection, which tests how the vehicle protects its driver and passenger; Child Occupant Protection, which gauges the protection of younger occupants; Vulnerable Road Users, which tests a vehicle’s safety features for cyclists and pedestrians; and Safety Assist, which evaluates a car’s active safety capabilities.
Tesla’s Q2 2019 vehicle safety report could be read below.
Accident Data
In the 2nd quarter, we registered one accident for every 3.27 million miles driven in which drivers had Autopilot engaged. For those driving without Autopilot but with our active safety features, we registered one accident for every 2.19 million miles driven. For those driving without Autopilot and without our active safety features, we registered one accident for every 1.41 million miles driven. By comparison, NHTSA’s most recent data shows that in the United States there is an automobile crash every 498,000 miles.
Vehicle Fire Data
Tesla vehicle fires are exceptionally rare events, and in some cases, there have been zero Tesla vehicle fires in a quarter. That means that an increase from one fire per quarter to two per quarter represents an increase of 100%. In order to avoid misinterpretation of these numbers and provide a meaningful comparison to industry data, Tesla will publish an update to vehicle fire data annually.
From 2012 – 2018, there has been approximately one Tesla vehicle fire for every 170 million miles traveled. By comparison, data from the National Fire Protection Association (NFPA) and U.S. Department of Transportation shows that in the United States there is a vehicle fire for every 19 million miles traveled.
In order to provide an apt comparison to NFPA data, Tesla’s data set includes instances of vehicle fires caused by structure fires, arson, and other things unrelated to the vehicle, which account for about 15% of Tesla vehicle fires over this time period.
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. 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.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
