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CR responds to Tesla over claims that its reviews are inaccurate and misleading
Consumer Reports has fired back at Tesla, issuing a statement that defends its recent report that predicts Model 3 to have “average reliability”. “Tesla appears unhappy that CR expects the new-to-market Tesla Model 3 to be of average reliability, which is generally a positive projection for any first model year of a car.” says CR in a press release sent to Teslarati.
The nonprofit organization that aims to educate consumers on the value of product, that can be anywhere from a household vacuum cleaner to an automobile, through its product testing reinforces its methodology for making predictions. “Here’s how we make the prediction” notes CR, addressing Tesla’s claim that the organization’s “automotive reporting is consistently inaccurate and misleading to consumers”.
“CR uses survey data it receives from car owners to predict the expected reliability of new cars being introduced to the market by looking across a manufacturer’s historic results (akin to how a weather forecaster predicts it will be sunny) — separate from the hands-on road tests we use for our overall score.” reads the press release.
The organization provides further reasoning for the predicted reliability rating assigned to Tesla’s latest mass market vehicle. “For the Model 3, we looked at more than 2,000 consumer survey responses about Tesla models. In fact, the Tesla Model S is now reported as having above average reliability for the first time ever. The Tesla Model S is also currently CR’s top rated car, period. (Kudos on both, Tesla!)”
We’ve provided the full press release from Consumer Reports below. Let us know what your thoughts are in the comments section.
CONSUMER REPORTS RESPONDS TO TESLA’S COMPLAINTS ON REPORTING, RESEARCH AND REVIEWS
Late yesterday, Tesla shared with select journalists what appears to have been a prepared statement of supercharged and unsupported claims about the performance and safety of their own vehicles and our 2017 Annual Reliability Survey results, taking the occasion to air a number of grievances against Consumer Reports (CR) and our overall reporting on Tesla and its products.
As is often the result of any new product or company that electrifies the market, Tesla does garner an outsized level of attention, scrutiny and discussion by the media. While we appreciate Tesla’s efforts to typically embrace and navigate, if not directly steer, this attention, we would like to offer some clarity on the examples they cite. (For other, perhaps not surprisingly Tesla-positive, examples from CR, you can visit the articles currently available at the Tesla press site, at least until they pull those links down, or visit us at CR.org).
Tesla seems to misunderstand or is conflating some of what we fundamentally do — our Annual Reliability Survey report and the related predictions versus our car reviews and tests.
First, Tesla appears unhappy that CR expects the new-to-market Tesla Model 3 to be of average reliability, which is generally a positive projection for any first model year of a car. This expectation is based on CR’s 2017 Annual Reliability Survey, measuring the dependability as opposed to the satisfaction, of more than 300 car models, model year 2000 to 2017, using the responses of individual owners of more than 640,000 vehicles. We provide this information to help people make informed purchasing decisions as new products reach the market.
Here’s how we make the prediction: CR uses survey data it receives from car owners to predict the expected reliability of new cars being introduced to the market by looking across a manufacturer’s historic results (akin to how a weather forecaster predicts it will be sunny) — separate from the hands-on road tests we use for our overall score.
For the Model 3, we looked at more than 2,000 consumer survey responses about Tesla models. In fact, the Tesla Model S is now reported as having above average reliability for the first time ever. The Tesla Model S is also currently CR’s top rated car, period. (Kudos on both, Tesla!)
Second, Tesla has taken larger issue with how CR produces car ratings, citing specific examples where they think our testing methods fell short or were unfair. CR conducts a battery of 50 standardized tests across all the vehicles we review — we have a lot of mileage in this arena. We also continuously update our ratings as new surveys are conducted and we test the cars we purchase to reflect the current realities of what a consumer should expect in the marketplace. (That’s right, purchase. CR does not accept any advertising and purchases the products we rate like any other regular person.) The Model S rating has changed over time, going up and down, as new data becomes available.
Thanks to technological advances such as product changes delivered by an over-the-air software update and thereby adding or subtracting features, we reevaluate products to inform consumers about what to expect after any update. These changes are then reflected in our ratings. Tesla frequently updates its software in just this way, which is relatively unique in the automotive market, often resulting in material changes to its products and therefore our ratings — both positively and negatively. It also happens to drive more frequent press coverage given the need to communicate product changes to consumers.
While our reliability survey data feeds into the overall score we give any product,that is just one input. As with all the cars we review, you can rest assured that we will thoroughly test and evaluate the Model 3 with the same care and scrutiny we apply to all the cars we test just as soon as we can get one — we’re waiting patiently along with other consumers.
As an independent, nonprofit organization that works side-by-side with consumers to create a fairer, safer, and healthier world, CR provides trusted knowledge people depend on to make better, more informed choices. We conduct evidence-based product testing and ratings, rigorous research, hard-hitting investigative journalism, public education, and steadfast advocacy on behalf of consumers’ interests. Buying a car that has an average or above average score for predicted reliability will likely reduce the chances of having problems with the car.
We at CR are confident in our data, methods, and reporting — and the historic results we’ve achieved in improving consumer products, services, and the marketplace. We will continue to report on and test Tesla’s products in the same fair-minded, consumer-focused way we do with all manufacturers, to help shape products to best serve the needs of consumers.
Elon Musk
SpaceX wants to catch Starship for launch 14, Elon Musk says
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.
News
Tesla to open source Model S and Model X designs and software
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
News
Tesla flexes incredible Robotaxi metric that skeptics will hate
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.