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Tesla’s 2020 Aftermath: A look at the shorts who said 500k was ‘absurd’

Credit: Reddit u/42755663

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Tesla’s 2020 showing has created an aftermath of reflection from bulls and bears alike. Despite the company coming off of a record year with a massive 500,000 vehicle delivery and production rate, which was considered “absurd” by some short-sellers in years past, Tesla proved the doubters wrong once again.

Everyone knows that the stock market is really an unpredictable and unfathomably tough thing to read. Some of the world’s best analysts can misread even the slightest bit of data and be miles off of what a particular stock accomplishes. Tesla, which is one of the more polarizing stocks despite its 700% climb in 2020, has had doubters since day 1. The difference between doubters of Tesla and doubters of other companies is that Tesla shorts and bears are some of the most vocal on Wall Street because the company’s momentum and hype have been talked about for nearly a decade.

2020 was easily the toughest year for the U.S. automotive market since the Great Recession of 2008. Tesla was one of the few companies that accomplished the feat of sustaining growth through the year of the COVID-19 pandemic, which crippled many industries, not just the automotive one, for most of the year. However, doubts on Tesla set in way back when the company started in 2008. Six years after Tesla built the original Roadster, analysts were still curious about the automaker’s capabilities moving forward and doubted that it would be able to scale its production to half-a-million cars by 2020. The old saying goes, “hindsight is 2020,” and as Tesla reached its goal for the year, it is easy to sit back and judge those who were wrong. However, their reasoning for not reaching 500,000 vehicles was completely flawed, and everything Tesla said it would do years ago has been accomplished.

Tesla reaches 500,000 production and delivery goal for 2020

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Mark Spiegel called 500,000 cars in 2020 “absurd”

Mark Spiegel is a notable Tesla short-seller and has been bearish on the automaker’s stock for years. In 2014, Spiegel posted an article to Seeking Alpha, titled, “Why Projections For Tesla To Sell 500,000 Cars In 2020 Are Absurd.”

Spiegel used data like the compound annual growth rate to support his evidence, stating, “If Tesla sells 35,000 cars this year, 500,000 sales in 2020 would imply a six-year CAGR of 56%.” Additionally, Spiegel did not believe that Tesla could scale growth at that rate in six years because “no complex product manufacturer has ever grown that quickly from a revenue base of $3 billion or more.” But hey, there is a first time for everything.

Microsoft was able to scale its CAGR by 32.1% from 1993 to 1999, which is a six-year time span and was identical to Tesla’s outlook that was challenged in the 2014 article. While Microsoft managed a remarkable 32.1% CAGR because of the evergrowing popularity of the computer and other technology, Tesla’s overwhelming growth throughout the same timespan was due to tech developments, industry influence, proving affordability of electric cars, and a consistent growth rate that proved the company was here to stay.

Spiegel’s outlook for 2020 was 186,000 cars sold by Tesla, but the company managed to nearly accomplish this figure in Q4 alone, as it delivered 180,570 cars in the final three months of the year. Spiegel was way off in his predictions, and Tesla’s domination in 2020 was just one of many examples of analysts getting it completely wrong.

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Tesla wasn’t a prime candidate for scaling its products, according to Thomas Bartman

In an April 2015 article in the Harvard Business Review, Thomas Bartman wrote an opinionated piece called, “Why Tesla Won’t Be Able to Scale.” Bartman claimed that Tesla’s EVs were “not actually disruptive, which will likely cause it to struggle to scale.” Bartman didn’t have the Model 3 to use as a benchmark at the time, but he doubted that Tesla would be able to sell a vehicle for $35,000, which it did.

“Tesla plans to launch a ‘mainstream’ luxury car, the Model 3,” Bartman wrote, “which it estimates will cost $35,000, although analysts have begun to question the feasibility of reaching that price point.” Tesla did discontinue this variant in late 2020, but the Standard Range Model 3 was available for over three years. The Standard Range+ was only $2,770 more and was more popular because of the range. Also, the SR was not listed on Tesla’s website and had to be ordered in a showroom or over the phone.

Bartman believed that Tesla had launched two good vehicles in the Model S and Model X, but legacy auto would quickly catch up after a few years. However, this has been proven wrong repeatedly, as companies like Mercedes-Benz and Audi have failed to launch effective and competitive EVs that are comparable to Tesla’s models globally. The Model 3 continues to dominate in China and the U.S., and the Model Y is gaining plenty of momentum as it nears the one-year mark since its first deliveries.

Tesla China Model Y attracts flocks of customers in local showrooms

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“As Tesla attempts to scale, it’s likely to discover that its internal impediments, combined with competitor responses, make it much harder than anticipated,” Bartman said. “The symptoms of these problems will manifest as product launch delays, cost overruns, and higher than expected prices.”

The only issue is that Tesla was able to internally combat production issues, even though Elon Musk has admitted many times that Model 3 manufacturing was “production hell.” The company has effectively beaten all of its competitors to launching an effective and cost-worthy electric car by launching four of them.

Hindsight is 2020

With 2020 over (thank God), Tesla and analysts are already looking forward to the new year. 2021 has plenty in store for Tesla: Two production facilities in the U.S. and Europe are set to begin manufacturing efforts, the launch of the Cybertruck at the tail-end of the year, and a possible refresh of the Model S and Model X. Moving forward, Tesla shorts may be more cautious, especially considering their traumatic $38 billion loss this year.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Elon Musk reveals date of Tesla Full Self-Driving’s next massive release

Initially planned for a January or February release, v14.3 aims to add some reasoning and logic to the decisions that Full Self-Driving makes, which could improve a lot of things, including Navigation, which is a major complaint of many owners currently.

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Tesla CEO Elon Musk revealed the date of Full Self-Driving’s next massive release: v14.3.

For months, Tesla owners with Hardware 4 have been utilizing Full Self-Driving v14.2 and subsequent releases. Currently, the most up-to-date FSD version is v14.2.2.5, which has definitely brought out mixed reviews. With releases, some things get better, and other things might regress slightly.

For the most part, things are better in terms of overall behavior.

However, many owners have been looking forward to the next release, which is v14.3, about which Musk has said many great things. Back in November, Musk said that v14.3 “is where the last big piece of the puzzle lands.”

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He added:

“We’re gonna add a lot of reasoning and RL (reinforcement learning). To get to serious scale, Tesla will probably need to build a giant chip fab. To have a few hundred gigawatts of AI chips per year, I don’t see that capability coming online fast enough, so we will probably have to build a fab.”

Initially planned for a January or February release, v14.3 aims to add some reasoning and logic to the decisions that Full Self-Driving makes, which could improve a lot of things, including Navigation, which is a major complaint of many owners currently.

Tesla Full Self-Driving v14.2 is a considerable improvement from early versions of the suite, but we have written about the somewhat confusing updates that have come with recent versions.

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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever

They’ve been incredibly difficult to gauge in terms of progress because some things have gotten better, but there seems to be some real regression on a handful of things, especially with confidence and assertiveness.

Musk confirmed today on X that Tesla is already testing v14.3 internally right now. It will hit a wide release “in a few weeks,” so we should probably expect it by late April.

Overall, there are high hopes that v14.3 could be a true game changer for Tesla Full Self-Driving, as many believe it could be the version that Robotaxis in Austin, Texas, some of which are driverless and unsupervised, are running.

It could also include some major additions, including “Banish,” also referred to as “Reverse Summon,” which would go find a parking spot after dropping occupants off at their destination.

What Tesla will roll out, and when exactly it arrives, all remain to be seen, but fans have been ready for a new version as v14.2.2.5 has definitely run its course. We have had a lot of readers tell us their biggest request is to fix Navigation errors, which seem to be one of the most universal complaints among daily FSD users.

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Chattanooga Charge: Tesla and EV fans ready for the Southeast’s wildest Tesla party

From Cybertruck Convoys to Kid-Friendly Fun Zones: The Chattanooga Charge Has Something for Everyone

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Hundreds of like-minded Tesla and EV enthusiasts are descending on Chattanooga Charge this weekend for the largest Tesla meet in the Southeast. Taking place on March 20–22, 2026 at the stunning Tennessee Riverpark.

If you were there last year, you’ll know that it’s the ultimate experience to see the wildest Teslas in action, see the best in EV tech, and arguably the most fun – finally put a name to the face and connect with those social media buddies IRL! Oh, and that epic night time Tesla light show is a once-in-a-lifetime experience that will transform the Riverpark into something out of a sci-fi film that’s remarkably unforgettable and must be seen in person.

This year’s event takes everything up a notch, with over 100 Cybertrucks expected to be on display, many sporting jaw-dropping modifications and custom wraps that push the boundaries of what these stainless steel beasts can look like.

Whether you’re a diehard Tesla fan, EV supporter, or just EV-mod-curious, the sheer spectacle is worth the drive.

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The Chattanooga Charge doesn’t wait until Saturday morning to get started. The weekend technically kicks off Friday, March 20th, and the venue sets the tone immediately. Come share roadtrip stories over drinks at the W-XYZ Rooftop Bar on the top floor of the Aloft Chattanooga Hamilton Place Hotel, with sunset views over the city.

Come morning, nurse your hangover with a some good coffee, and convoy with hundreds of other Tesla and EV drivers through Chattanooga to the event for some morning meet and greets before the speaker panel starts and the food trucks fire up.

Tesla owner clubs travel from across the country to be here, not just to show off their vehicles,, but to connect, share, and celebrate a shared passion for the future of driving.

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Sounds like a plan to me. See you there, guys. Don’t miss it. Get your tickets at ChattanoogaCharge.com and join the charge. 🔋⚡

Chattanooga Charge is a premier Tesla and EV gathering inspired by the X Takeover, known as one of the largest Tesla event gatherings. What began as a bold idea from the team at DIY Wraps/TESBROS, hosted in their hometown of Chattanooga, Tennessee, the event quickly became a movement across social media. The first annual Chattanooga Charge united over 16 Tesla clubs from 16 states, proof that the EV community was hungry for something big in the South. Year after year, the event has grown in scale, ambition, and heart.

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Tesla Full Self-Driving gets latest bit of scrutiny from NHTSA

The analysis impacts roughly 3.2 million vehicles across the company’s entire lineup, and aims to identify how the suite’s degradation detection systems work and how effective they are when the cars encounter difficult visibility conditions.

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Credit: Tesla

The National Highway Traffic Safety Administration (NHTSA) has elevated its probe into Tesla’s Full Self-Driving (Supervised) suite to an Engineering Analysis.

The analysis impacts roughly 3.2 million vehicles across the company’s entire lineup, and aims to identify how the suite’s degradation detection systems work and how effective they are when the cars encounter difficult visibility conditions.

The step up into an Engineering Analysis is often required before the NHTSA will tell an automaker to issue a recall. However, this is not a guarantee that a recall will be issued.

The NTHSA wants to examine Tesla FSD’s ability to assess road conditions that have reduced visibility, as well as detect degradation to alert the driver with sufficient time to respond.

The Office of Defects Investigation (ODI) will evaluate the performance of FSD in degraded roadway conditions and the updates or modifications Tesla makes to the degradation detection system, including the timing, purpose, and capabilities of the updates.

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Tesla routinely ships software updates to improve the capabilities of the FSD suite, so it will be interesting to see if various versions of FSD are tested. Interestingly, you can find many examples from real-world users of FSD handling snow-covered roads, heavy rain, and single-lane backroads.

However, there are incidents that the NHTSA has used to determine the need for this probe, at least for now. The agency said:

“Available incident data raise concerns that Tesla’s degradation detection system, both as originally deployed and later updated, fails to detect and/or warn the driver appropriately under degraded visibility conditions such as glare and airborne obscurants. In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred.”

It continues to say in its report that a review of Tesla’s responses revealed additional crashes that occurred in similar environments showed FSD “did not detect a degraded state, and/or it did not present the driver with an alert with adequate time for the driver to react. In each of these crashes, FSD also lost track of or never detected a lead vehicle in its path.”

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The next steps of the NHTSA Engineering Analysis require the agency to gather further information on Tesla’s attempts to upgrade the degradation detection system. It will also analyze six recent potentially related incidents.

The investigation is listed as EA26002.

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