Category Archives: Security

Tesla Whistleblowers Allege Books Cooked Since 2017

Workers at Tesla say it has used its dubious closed repair model to fraudulently reclassify the warranty work it does for design defects and engineering flaws. CNBC does a great job of explaining the whistleblower complaint.

“Were Tesla to accurately categorize its ‘goodwill’ repairs as warranty repairs, it would likely need to restate earnings for every quarter since at least 2017,” the tipsters wrote in their submission. “It should also be noted that nothing has ever stopped the company from appropriately sizing its warranty reserve even as its service employees handed out too much ‘goodwill’ repair coverage.”

This helps explain why Tesla has a bizarrely unsafe track record of dumping huge quantities of low quality intentional design defective cars onto public roads.

If the horrible Tesla customer experience has been fraudulently recorded as “goodwill” and therefore booked as earnings by ignoring warranty offsets, the company is even more dysfunctional/abusive than reported before.

To put it another way, such methods of “smoothing” or boosting financial performance reports has a very tawdry history including the 1980s Savings & Loan Scandal and the 2007 Great Recession. Warranty repair reserves are like loan loss reserves (estimates of future losses) and aren’t meant to be reclassified into short-term gains while diminishing important safety reserves (e.g. needed when growing warranty failures actually are addressed).

The article goes on to cite “goodwill” spend running ten times higher than normal, which presumably means warranty reserves were hugely diminished.

In just under two months in late 2021, Tesla was spending over $17 million on “goodwill” in the U.S. alone…

Perhaps most interesting is the detail about Tesla running internal software full of bugs and vulnerabilities, while failing to get even above 90% data accuracy.

Specifically it mentions that access controls are so lacking that data is getting modified easily by basically anyone with a keyboard. The database is open to tampering, yet it’s supposedly the basis of reporting financials to the market.

…screenshots showed Tesla employees had manually changed the status of “used” cars to “new” in a program that tracked vehicle deliveries data.

Easy way to report new car numbers above expectations? Just cook the books. No wonder an obvious fool, throwing all safety aside in a mad rush, could become so wealthy so fast. What if nobody ever verified the number of cars reported sold was anything even close to the number of cars sold?

“A million cars” could have been 900K, or even 600K.

After all, Tesla already had been caught fraudulently doubling their battery range estimates to misrepresent themselves as leaders. The whole industry was balking at Tesla lies before someone did the hard audit and found the truth was a Nissan LEAF had better range (and none of the Tesla death).

So it seems there are quite a few very serious allegations with extensive documentation, pointing to a culture of pervasive fraud coming right from the top of Tesla.

Enron executives went to jail for less.

All of it sounds to me like evidence of classic SOX violations.

SC Tesla Kills One in “Veered” Crash Into Trees

Early in the morning, a Tesla “veered” off the road into trees, yet again.

2016 Tesla sedan was traveling east on Twelve Bridges Road at 6:35 a.m. Thurs. morning when the vehicle ran off the left side of the road, struck several trees, and overturned, which caused the driver to be ejected from the sedan. The Tesla then caught fire and the driver was pronounced dead at the scene said officials.

Twelve Bridges road has a lot of guard rails, presumably because of twelve bridges. Source: Google Maps

How fast does a car have to go to strike several trees before overturning? Usually it’s a late model Tesla killing people, so this goes to show even a 2016 version isn’t safe. (The video reporter calls it a 2017).

In somewhat related news, in California another Tesla just drove into a tree but it didn’t kill the owner. He walked away, only to be arrested by police and put in jail for being stupid enough to think that “Autopilot” and “Full Self Driving” mean what they say.

The 1979 Conspiracy to Vandalize BART Seats for Money

A “yarn bomb” spruced up the notoriously dirty fabric BART seats in 2011. Source: Street Color

Here’s a fascinating story told in 2019 from way back in the day about an obvious Bay Area criminal conspiracy and how it was investigated.

Several people were paid a small fee to quickly slash train seats with a knife using a specific pattern, a signature if you will. The brand new seats, instead of being patched quickly and cheaply, were removed and re-upholstered, generating a huge source of overtime pay for train workers and boosting material orders from suppliers.

In January 1981, another jump in the number of vandalized seats caused BART to once again extend and increase its contract with Service Systems, this time for $75,000, or $221,170 today. (The San Francisco Examiner estimated the contract amounts to be even higher — $100,000 in 1980, and $175,000 in 1981.) The slashes were always the same, however. One slash on the back of the seat, with another slash in the front. … It was estimated that “possibly 85 percent of the more than 7,000 BART train cushions damaged since August 1979” was the work of this company, the Examiner reported at the time. All said and done, BART had paid the company $115,000 for the repairs, a total of about $339,128 in today’s money.

That “always the same” slash helped the conspiracy identify which seat damage would reward their slashers. Of course such a signature move also should have helped stop the slashing of thousands of seats; years were wasted before it was finally investigated and ended in 1981.

Related: In 2017 BART quickly replaced its many fake cameras with real ones.

After an investigation by the San Francisco Chronicle revealed that, harrowingly, more than two thirds of the cameras on BART trains were fake, the Bay Area transit agency has reportedly replaced those bogus cameras with real ones.

Lawsuits related to personal property theft during mob attacks prompted the sudden change.

Tesla Truck Timeline Fails Even Further: From Frying Pan to Dumpster Fire

Someone at Tesla supposedly thought they could generate positive buzz about their Truck fraud by slipping $400,000 to a front organization.

That “spend” kind of leaked as advance indirect fees, from Tesla, in exchange for a Truck made in the uncertain future, by Tesla. And somehow some people actually mistook that unholy self-dealing tryst for an actual Truck sale and delivery. Nope.

Buzz, buzz. Flop.

In related news, pre-production Tesla Trucks are allegedly being dumped as unusable, abandoned by their test drivers. It’s a revolutionary concept to make a vehicle so bad it can’t ever get to the production line, but even more revolutionary to have zero continuity plan for failure.

Millions of people paid $100 in advance fees into the fraud, so I’m guessing (like Bernie Madoff getting his investors to returns) all those victims are going to suddenly roost if this Truck dares to move into something transparent and publicly measured, like production.

Frankly I’m surprised that Tesla didn’t engineer a self-destruct sequence for it like SpaceX, so it can be blown to ash when abandoned: totally meant to fail.

Speaking of propaganda, Tesla claiming now to be under pressure to achieve sub micron accuracy is such a sad and pathetic attempt to distract from being multiple years off with estimates. You want to play sub micron? Maybe try being sub decade to start.

It turns out a loud CEO randomly shooting from the hip is great for attracting fear-addled investors looking for a tough talking John Wayne act to woo them through an uncertain market… but that also is really, really bad for the kind of certainty actually required for hitting any real target ever.

See the burn.

Tesla looks about as good as SpaceX hitting its publicly announced failed targets for landing on Mars by 2018, 2019, 2020, 2021, 2022, 2023…