Tesla and electric vehicles have saved at least 120,000 lives so far. Not A Tesla App initially reported on the results of a study that reflected these statistics. I’m going to dive into that study momentarily.
The article noted that a high EV adoption rate isn’t just good news for our planet. It is increasing the survival chances of our future generations. The study, published in 2021 in Nature Communications, noted that adding 4,434 metric tons of carbon dioxide in 2020 was equivalent to the lifetime emissions of 3.5 Americans. Those 4,434 metric tons of carbon dioxide could also cause one extra death globally from 2020 through 2100.
How Tesla And EVs Saved At Least 120,000 Lives So Far
The article pointed to Tesla’s recent Impact Report. According to the U.S. Environmental Protection Agency, a typical passenger car emits around 4.6 metric tons of carbon dioxide per year. In Tesla’s Impact Report, Tesla shared that in 2021, its global fleet of vehicles, energy storage, and solar panels combined avoided the emissions of 8.4 million metric tons of CO2e.
The article noted that according to Tesla’s Impact Report and the Nature Communications study, we can save around 40 metric tons of carbon over the course of a lifetime for every person who makes the switch from internal combustion engine vehicles to EVs. According to Not A Tesla App,
“Since every 4,000 metric tons of carbon emissions are predicted to result in an additional death, around 20,000 lives have been saved as a result. If we take into account the 10 million electric cars sold by other manufacturers, the number of lives saved increases to a staggering 120,000.”
The Study
The study in Nature Communications, titled The Mortality Cost of Carbon, was published in 2021. It used integrated assessment models (IAMs) which found that the social cost of carbon, prescribed optimal climate policy, and human mortality impacts are limited and haven’t been updated to the latest scientific understanding.
To solve this issue, the researchers extended the DICE-2016 integrated assessments model to include temperature-related mortality impacts. They also introduced another metric: the mortality cost of carbon. This metric estimated the number of deaths caused by the emissions of one additional metric ton of CO2. According to the study,
“In the baseline emissions scenario, the 2020 MCC is 2.26 × 10‒4 [low to high estimate −1.71× 10‒4 to 6.78 × 10‒4] excess deaths per metric ton of 2020 emissions. This implies that adding 4,434 metric tons of carbon dioxide in 2020—equivalent to the lifetime emissions of 3.5 average Americans—causes one excess death globally in expectation between 2020-2100.”
What The Study Found
The study found that the 2020 mortal cost of carbon (MCC) is the number of expected temperature-related excess deaths globally from 2020-2100 caused by the emission of one additional metric ton of CO2e in 2020.
“Our central estimate 2020 MCC also implies that reducing (adding) 4,434 metric tons of carbon dioxide in 2020 saves one life (causes one excess death) in expectation globally between 2020 and 2100. In all, 4,434 metric tons is equivalent to the lifetime emissions of 3.5 average Americans, 146.2 Nigerians, and 12.8 average world people.”
Tesla & EVs Are Saving Lives. So Is Clean Energy.
Although Tesla and EVs are saving lives in this respect, the study’s results show that the work is far from complete. The study suggested that reducing 1,276 metric tons of carbon dioxide in 2020 which is the equivalent to the lifetime emissions of an average American, would reduce 0.29 excess deaths between 2020 and 2100.
News
Tesla CEO Elon Musk responds to Waymo’s 2,500-fleet milestone
While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service.
Elon Musk reacted sharply to Waymo’s latest milestone after the autonomous driving company revealed its fleet had grown to 2,500 robotaxis across five major U.S. regions.
As per Musk, the milestone is notable, but the numbers could still be improved.
“Rookie numbers”
Waymo disclosed that its current robotaxi fleet includes 1,000 vehicles in the San Francisco Bay Area, 700 in Los Angeles, 500 in Phoenix, 200 in Austin, and 100 in Atlanta, bringing the total to 2,500 units.
When industry watcher Sawyer Merritt shared the numbers on X, Musk replied with a two-word jab: “Rookie numbers,” he wrote in a post on X, highlighting Tesla’s intention to challenge and overtake Waymo’s scale with its own Robotaxi fleet.
While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service. During the third quarter earnings call, he confirmed that the company expects to remove safety drivers from large parts of Austin by year-end, marking the biggest operational step forward for Tesla’s autonomous program to date.
Tesla targets major Robotaxi expansions
Tesla’s Robotaxi pilot remains in its early phases, but Musk recently revealed that major deployments are coming soon. During his appearance on the All-In podcast, Musk said Tesla is pushing to scale its autonomous fleet to 1,000 cars in the Bay Area and 500 cars in Austin by the end of the year.
“We’re scaling up the number of cars to, what happens if you have a thousand cars? Probably we’ll have a thousand cars or more in the Bay Area by the end of this year, probably 500 or more in the greater Austin area,” Musk said.
With just two months left in Q4 2025, Tesla’s autonomous driving teams will face a compressed timeline to hit those targets. Musk, however, has maintained that Robotaxi growth is central to Tesla’s valuation and long-term competitiveness.
News
Tesla Full Self-Driving (Supervised) v14.1.7 real-world drive and review
On an hour-long drive, we tested v14.1.7 and tested its new capabilities, which are mostly overall performance and smoothness fixes rather than integrations of new features that are unknown to routine FSD users.
Tesla started rolling out its Full Self-Driving (Supervised) v14.1.7 suite last night to owners, and there are several improvements to note within the new update that are at least the start of fixes to highly-mentioned issues.
On an hour-long drive, we tested v14.1.7 and tested its new capabilities, which are mostly overall performance and smoothness fixes rather than integrations of new features that are unknown to routine FSD users. However, there are a handful of shortcomings that are still present within the suite, which are not something that will be fixed within the span of a single update.
For what it is, Full Self-Driving does an excellent job of navigating — once you get it on its correct path. Our issues tend to be confined to navigation, routing, and the decision-making process that has to do with the way the car wants to get you to your destination. There were five things that happened on our first drive with v14.1.7 that are worth mentioning. The full drive will be available at the bottom of this article.
Navigation and Routing Still Seems to Be a Major Challenge
In past content, we’ve discussed the issues with routing and navigation, and how a Tesla chooses its path. Most noticeably, these issues occur in the same areas; for me, it’s my local Supercharger. My 2026 Model Y with AI4 continues to pick less-than-optimal routes out of the Supercharger, and in this instance, it actually chose to turn down a road, pull over, and give me the wheel, essentially asking, “Hey, can you get me on the right track here?”
This is still my biggest bone to pick with FSD, even more so than some of the bonehead moves it’s made in tougher scenarios (mostly parking lots with very limited visibility due to shrubs being planted in the worst possible locations). It’s rare that it happens, but this particular Supercharger has been a true thorn in the side of my Tesla.
This is not an issue that is confined to v14.1.7, or even v14 in general. Unfortunately, it is an issue that has persisted throughout my ownership experience, as well as during Demo Drives.
Still dealing with this Navigation/Routing issue. FSD still hasn’t figured out how to exit this Supercharger.
FSD chose to pull over and let me work it out of its predicament: pic.twitter.com/ZOIsA7eW2C— TESLARATI (@Teslarati) November 13, 2025
Stuttering and Hesitation at Intersections was Non-Existent
There was some confusion regarding my language in a recent article where I stated Tesla is confronting the issues that have been reported regarding the “stabbing” with braking.
“Tesla began the v14.1.4 launch last night, which included minor improvements and addressed brake-stabbing issues many owners have reported. In my personal experience, the stabbing has been awful on v14.1.3, and is a major concern.
However, many things have improved, and only a couple of minor issues have been recurring. Many of the issues v13 addressed are no longer an issue, so Tesla has made significant progress.”
It has undoubtedly improved, but it is not resolved.
With that being said, I did not feel a single example of hesitation, stabbing, or stuttering at a single intersection or instance when it has been present in the past. CEO Elon Musk said it would be fixed with v14.2, so it seems like Tesla is well on its way to resolving it.
Proper Handling of Crosswalks
It’s crazy how many people still do not stop for pedestrians at clearly-marked crosswalks. I had two instances of it happen during the drive, with FSD stopping for those pedestrians both times.
Human drivers did not stop either time:
Two instances of FSD stopping for pedestrians at crosswalks while human drivers proceed: pic.twitter.com/b4W7GXsXwH
— TESLARATI (@Teslarati) November 13, 2025
Handled Merging onto a Highway with an Inconsiderate Driver Well
Routinely, drivers will get over into the left lane, if they are able, to allow merging traffic to safely enter the freeway. It does not always happen this way, and it’s not required by law.
Not exclusive to v14.1.7, as many past iterations would have done this as well, but it was nice to watch the vehicle slow down to let that traffic pass. It then entered the freeway safely, and the entire maneuver was well done.
Not exclusive to v14.1.7, but just a great job of allowing highway traffic to pass before merging: pic.twitter.com/Hl9Hr0N5Jc
— TESLARATI (@Teslarati) November 13, 2025
Took an Appropriate Move with Oncoming Foot Traffic and Debris in a Tight Alleyway
This was probably the most on-edge I was during the drive because: 1) FSD chose to take an unnecessary alleyway, and 2) there was a box and oncoming pedestrians.
The car was aware of everything that was going on. In order to avoid the box, it would have had to turn toward the pedestrians, and in order to avoid the pedestrians, it would have had to turn into the box.
It chose to wait patiently, and after the pedestrians were past the car, FSD chose to proceed.
A patient FSD debates pedestrians and debris.
It chooses to not turn toward the humans or the box, instead waiting for a clear path to proceed. EXCELLENT and my favorite part of the drive pic.twitter.com/JNVxuxkhmn— TESLARATI (@Teslarati) November 13, 2025
Closing Thoughts
Overall, we’re very impressed with v14.1.7, and we think this is Tesla’s best iteration of the FSD suite yet, as it should be since it’s the newest version available. Tesla’s attention to detail regarding the brake stabbing is really well done, and it seems evident that a complete fix is on its way.
Other than the navigation issue at the very beginning, which was not an intervention, at least in my opinion, this was a really successful drive.
Elon Musk
Elon Musk debunks report claiming xAI raised $15 billion in funding round
xAI also responded with what appeared to be an automated reply, stating, “Legacy Media Lies.”
Elon Musk has debunked a report claiming his AI startup xAI had raised $15 billion from a funding round. Reports of the alleged funding round were initially reported by CNBC, which cited sources reportedly familiar with the matter.
CNBC’s report
The CNBC story cited unnamed sources that claimed that the new capital injection would help fund GPUs that xAI needs to train its large language model, Grok. The news outlet noted that following the funding round, xAI was valued at $200 billion.
Artificial intelligence startups have been raising funds from investors as of late. OpenAI raised $6.6 billion in October, valuing the startup at a staggering $500 billion. Reuters also reported last month that OpenAI was preparing for an IPO with a valuation of $1 trillion. Elon Musk’s xAI is looking to catch up and disrupt OpenAI, as well as its large language model, ChatGPT, which has become ubiquitous.
Elon Musk and xAI’s responses
In his response on X, Elon Musk simply stated that the CNBC story was “false.” He did not, however, explain if the whole premise of the publication’s article was fallacious, or if only parts of it were inaccurate.
Amusingly enough, xAI also issued a response when asked about the matter by Reuters, which also reported on the story. The artificial intelligence startup responded with what appeared to be an automated reply, which read, “Legacy Media Lies.”
xAI, founded in July 2023 as an alternative to OpenAI and Anthropic, has aggressively built out infrastructure to support its flagship products, including Grok and its recently launched Grokipedia platform. The company is developing its Colossus supercomputer in Memphis, which is heralded as one of the world’s largest supercomputer clusters.
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