Tesla is continually misunderstood by markets & media because it's hard to model a feedback loop that cuts across functional silos in excel. Linear models and systems thinking are oil and water. To help our analyst friends, I'll list out 10 feedback loops that Tesla has going:
1. Cars sold emit data, which accelerates motor & battery software optimization, which improves power efficiency, which reduces batteries needed, which reduces cost, which reduces price, which increases demand, which increases cars on the road, which emit even more data, & so on.
2. Tesla insurance uptake creates data about repair costs, which informs design & manufacturing choices, which reduce repair costs, which reduces cost of insuring a Tesla, which can reduce price of insuring a Tesla which leads to more Teslas sold, and more insurance uptake, ...
3. Tesla being the #1 buyer of li-ion batteries in the world makes them the first point of call when someone has a breakthrough. Which accumulates more breakthroughs, sells more cars, increases the amount of li-ion batteries they buy, ...
4. Tesla has accomplished some of the most audacious engineering feats in recent memory. Which attracts the world's best engineers to want to work there. Which creates an incredibly high-quality team, accomplishing even more audacious engineering feats, ...
5. Tesla's expanding technology lead (due to many of the above) makes a lot of the established manufacturers realize they can't really compete, which makes them underinvest in EV tech and milk ICE instead, which increases Tesla's technology lead, and so on.
6. Tesla's widespread supercharger network leads more EV buyers to buy Tesla, which increases their ability to build out the supercharger network, which leads even more EV buyers to buy Tesla, ...
7. Tesla's expertise at building factories capital efficiently gets them low overhead on their cars, allows them to reduce prices, which increases demand, which requires them to build more factories, which they can keep getting better at building efficiently, ...
8. Tesla's super high customer satisfaction means a buyer of Tesla cars is an evangelist who gives test drives, which causes more people to buy Tesla cars, ...
9. Elon's super-short feedback loop on Twitter with Tesla customers asking for features and fixes means the cars are ever more closely aligned to what customers want, which increases demand, which increases feedback, ...
10. And I haven't even mentioned Autopilot! This one is easy, but here goes: More cars sold -> more miles driven -> more data available -> better Autopilot performance -> more cars sold (eventually also as robotaxis) -> ...
The spreadsheet-literate of you will notice that so many of the above are super hard to model using traditional tools. Nevermind when all these loops are running in parallel. There is a discipline that addresses this, called System Dynamics, but for some reason is not well known.
Let's add 3 more loops to the mix that are Elon-specific: 1. Elon is constantly learning how to imagine and realize new projects, adapt to opportunity and/or adversity. The better he gets at it, the better his companies get at it, and that has to count for something.
2. Elon is constantly jousting with the best engineers across his companies. He learns new things every day and cross-polinates his companies (e.g. various SpaceX/Tesla collaborations). The more of this he does, the better his companies do, the more smart people he can learn from
3. Elon set his compensation package up so that he owns more of Tesla, the better Tesla does. But that bigger percentage will be worth more the better Tesla does. Which proceeds he plans to use to fund Mars colonization. And what is more valuable than making life multi-planetary?
Watching the last @stevenmarkryan video, he actually named a few more! 1. As Tesla optimizes its manufacturing, it will make more cars at its existing facilities, further reducing cost per car, reducing price, increasing demand and profits, hiring more talent, to optimize faster.
2. The more cars are sold, the more tesla can invest in software add-ons, increasing high margin revenue per car further, which can be used to hire more software engineers to work on more software add-ons, which will further drive software subscription revenue, etc.
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This Ben Shapiro/Dave Rubin clip is one of the most important recorded interactions for people who care about hypocrisy in the public sphere.
Thread 🧵 with some thoughts below.
First, Shapiro makes the argument that Daily Wire is a publisher (like a magazine or a newspaper) not a platform (like locals).
Interestingly, he implies that the Daily Wire was *subsidizing* Candace Owens. This would imply they were taking a financial loss to have her there.
Shapiro and Rubin, however, have also been massive critics of cancel culture. How did cancel culture get its name? From a campaign to cancel The Colbert Report over a tweet. Much of cancel culture is about inflicting professional harm for bad opinions. newyorker.com/news/news-desk…
At this point I treat Scott Alexander's writing as an infohazzard. Unless you are willing to check his facts and citations, it is probably inadvisable to read his material, as it is constructed to build a compelling narrative.
But watch the lemmings line up and jump off a cliff, obviously taking Scott Alexander, who has already admitted to falsely accusing multiple scientists, at his word.
Unless and until Scott Alexander commits to adopting a robust editorial process where blatant errors that are reported to him are corrected promptly, his work should be read as fiction "based on a real story, sorta".
To coin a term, this FDA tweet was a "narrative scaffold". After the narrative solidifies, it doesn't matter if the scaffold is taken down. Nobody will remember how things started anyway.
It's a synchronization signal for the elites to line up and promote the approved narrative. Once all the relevant people are committed, opponents' reputations destroyed, the original signal can go away, and the hive mind will continue singing to the same tune.
Other examples of narrative scaffolds? Where to start.
For one, the Steele dossier that led to the years and years of Russiagate garbage.
Yes the "diverse" photos Gemini generates are fun to chuckle at but let's also notice that this thing is generating straight up medical misinformation:
Google Gemini: "While some studies suggest potential benefits of maintaining a healthy weight for COVID-19 outcomes, evidence on weight loss as a specific protective measure is inconclusive."
Google Gemini: "There's no evidence that the spike protein in COVID-19 vaccines is directly cytotoxic. These vaccines only contain the genetic instructions for making the protein, not the fully formed protein itself."
I would like to use the occasion of this clip to remind everyone that the TOGETHER trial has still not released the raw data as it promised to do in its journal submission.
All the big name accounts complaining about fraudulent ivm studies have said NOTHING about this scandal.
I even offered Scott Alexander $25k of my own money if he would help get it released and he didn't move a finger.
Following the ivm rabbit hole has been the fastest way to find out that practically nobody from the medical establishment cares about the actual facts on the ground. Just posturing and repeating the hive mind talking points.
Thank God for whistleblowers, I have gotten access to the interim analyses from this trial, and when I publish them, the fraudulent nature of its conduct will be clear to anyone who cares to know about it.