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Tesla rolls out latest Safety Score update—Here’s what’s new
Tesla’s latest Safety Score update drops one highly criticized factor, while adding weight to pieces like speeding, follow distance, and more.
Tesla has officially started rolling out a new version of its insurance program’s Safety Scores beta, improving upon a few different metrics that make up the index.
As detailed on the Tesla Insurance web page, the company has updated its Safety Scores to beta version 2.2 from the previous version 2.1. The update primarily includes improvements to how Excessive Speeding is measured, along with the removal of Forward Collision Warnings (FCW) from the formula.
In addition, Tesla has slightly increased the values of related factors such as Hard Braking and Unsafe Following Time in the v2.2 formula, perhaps in an attempt to help accommodate some of the situations previously covered by the FCW rating.
READ MORE ON TESLA INSURANCE: Tesla launches insurance discount for FSD users in these two states
Tesla’s Safety Scores are used to determine premium rates for buyers of the company’s in-house insurance program, except in California, where privacy laws prohibit the use of real-time driving data to determine premiums. The company also says that its latest formula for Safety Scores were generated using over 22 billion miles of fleet data from its cars, while the company plans to continue improving the formula as more data comes in.
At this time, Tesla Insurance is available in the following 12 states, though Safety Scores aren’t available in California for the aforementioned reason:
- Arizona
- California
- Colorado
- Illinois
- Maryland
- Minnesota
- Nevada
- Ohio
- Oregon
- Texas
- Utah
- Virginia
You can see the factors that make up Tesla’s Insurance Safety Scores below or on its website here, along with the specific formula that makes up a drivers’ 0 to 100 Safety Score.
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Hard Braking
Credit: Tesla
Hard braking is defined as backward acceleration, measured by your Tesla vehicle, in excess of 0.3g. This is the same as a decrease in the vehicle’s speed larger than 6.7 mph, in one second. Hard braking is introduced into the Safety Score Beta formula as the proportion of time where the vehicle experiences backward acceleration greater than 0.3g as a percentage of the proportion of time the vehicle experiences backward acceleration greater than 0.1g (2.2 mph in one second). Hard braking while on Autopilot is not factored into the Safety Score Beta formula. For vehicles with Autopilot computer 3.0 or greater, braking while the vehicle detects yellow traffic lights is also not factored into the Safety Score Beta formula. If the vehicle is unable to detect a yellow traffic light at the time of the hard braking, the event will impact your Safety Score. The percentage shown in the app is the proportion of time spent braking done with excessive force when driving and Autopilot is not engaged. The value is capped at 5.2 percent in the Safety Score Beta formula.
Aggressive Turning
Credit: Tesla
Aggressive turning is defined as left/right acceleration, measured by your Tesla vehicle, in excess of 0.4g. This is the same as an increase in the vehicle’s speed to the left/right larger than 8.9 mph, in one second. Aggressive turning is introduced into the Safety Score Beta formula as the proportion of time the vehicle experiences left or right acceleration greater than 0.4g as a percentage of the proportion of time the vehicle experiences left or right acceleration greater than 0.2g (4.5 mph in one second). Aggressive turning while on Autopilot is not factored into the Safety Score Beta formula. The percentage shown in the Tesla app is the proportion of time spent turning with excessive force when driving and Autopilot is not engaged. The value is capped at 13.2 percent in the Safety Score Beta formula.
Unsafe Following
Credit: Tesla
Your Tesla vehicle measures its own speed, the speed of the vehicle in front and the distance between the two vehicles. Based on these measurements, your vehicle calculates the number of seconds you would have to react and stop if the vehicle in front of you came to a sudden stop. This measurement is called “headway.” Unsafe following is the proportion of time where your vehicle’s headway is less than 1.0 seconds relative to the time that your vehicle’s headway is less than 3.0 seconds. Unsafe following is only measured when your vehicle is traveling at least 50 mph and is incorporated into the Safety Score Beta formula as a percentage. Unsafe following while on Autopilot is not factored into the Safety Score Beta formula. The percentage shown in the Tesla app is the percentage of unsafe following when driving and Autopilot is not engaged. The value is capped at 63.2 percent in the Safety Score Beta formula.
Excessive Speeding
Credit: Tesla
Excessive Speeding is defined as the proportion of time spent driving in excess of 85 mph or driving 20% faster than the vehicle in front of you, when that vehicle is going over 25 mph and is within 100 meters of your vehicle. This value is expressed as a percentage of total driving time and is capped at 10.0% in the Safety Score Beta formula. Speeding while on Autopilot is not factored into the Safety Score Beta formula.
Late-Night Driving
Credit: Tesla
Late-Night Driving is defined as the number of seconds you spend driving at night (11 PM – 4 AM) divided by the number of seconds you spend driving total during the day and night. Due to the variable risk level associated with driving during each late-night hour, each hour is weighed differently, and driving at each hour will affect your Safety Score differently. For example, driving at 11 PM will not affect your Safety Score as heavily as driving at 2 AM. Drive sessions that span two days will apply to the day the trip ends. Late-Night Driving includes all driving at night (11 PM – 4 AM) including any driving done on Autopilot. The value is capped at 14.2 percent in the Safety Score Beta formula.
Forced Autopilot Disengagement
Credit: Tesla
The Autopilot system disengages for the remainder of a trip after the driver has received three audio and visual warnings. These warnings occur when your Tesla vehicle has determined that the driver has not applied sufficient resistance to the steering wheel or has become inattentive. Forced Autopilot Disengagement is introduced into the Safety Score Beta formula as a 1 or 0 indicator. The value is 1 if the Autopilot system is forcibly disengaged during a trip, and 0 otherwise.
Unbuckled Driving
Credit: Tesla
Unbuckled Driving is defined as the proportion of time spent driving above 10 mph without fastening the driver’s seatbelt in a Tesla vehicle, as a percentage of time spent driving above 10 mph. The value shown in the Tesla app is the proportion of time driven at a speed over 10 mph, without buckling the driver’s seatbelt, as a percentage of time spent driving over 10 mph. The value is capped at 31.7 percent in the Safety Score Beta formula.
Tesla’s formula for Safety Score beta v2.2
Tesla takes the formula pictured below, dubbed its Predicted Collision Frequency (PCF), and converts it into the 0 to 100 version 2.2 Safety Score it assigns based on driver behavior. The 2.1 Safety Score formula can also be seen on the Tesla Insurance page, though the below formula is for the newly launched version 2.2.
Credit: Tesla
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.
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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.
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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.
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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
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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.
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“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
