I have seen plenty of Buffettology on Twitter and in other places over the past few years. Its time to clear the air and understand that there wasn't one but 3 different Warren Buffett's that existed throughout his career 📚📚
Time for a thread: 3 Different Buffett's 🧵🧵🧵
1)He was extremely valuation conscious and he was willing to buy shitty businesses which were dirt cheap.
2)He Practiced catalyst investing and sometimes bought entire controlling stakes in firms.
3)He accepted churn and turned
Now, let's talk about Warren Buffett 2 (Post 1970s). This is when he made the mistake of buying Berkshire Hathway and realized if you sit long enough in a poor business, then the
1) First key learning is to have your return expectations clear. The time you can devote to investing and your mental framework will eventually decide your returns
4) Selling is not bad. If you are able to find an opportunity that is vastly superior or offers
5) Since trees don't grow till sky, your entry multiple will eventually decide your compounding even in businesses that supposedly can do nothing wrong. These businesses simply cannot be 20%+ compounders if bought at 100x multiples when core growth
do well for themselves. If he respects the beginning multiple at which he buys businesses. Even if you are paying up, far far better to pay up for growth with moderate longevity than just longevity if you have a small
The final key learning is that it is far better to know yourself as an investor or as a person before you start investing. In the end, your own frameworks, view of investing, even the type of Warren Buffett you got influenced from the most (out 3 phases)
Just remember, this is the reason why Sanjoy Bhattacharya says that there are no right answers but only right questions. Just ask yourself: Who am I as an investor?
-The end-🧵
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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.