Why is it so difficult to understand what Bitcoin involves?

Because it affects various mental models.

Thread.

Inflection Point / Critical Mass:

The increase in the liquidity of the FED in 2020 due to Covid has generated a turning point in the BTC.

Investors have gone from thinking of BTC as a risky asset to thinking that the risk is not having it, increasing confidence towards it.
Compound Interest / Velocity:

The BTC has gone from $400 to $40k in 5 years, which represents an annual return of 150%, 15 times more than the average stock market return.

This has been one of the largest and fastest creations of wealth in history.
Scarcity / Supply and Demand:

The greater the scarcity of an asset, the greater its value.

As BTC becomes popular, its demand increases, while its supply does not vary. Which makes the price go up.
Cooperation:

The BTC is decentralized.

Their trust is not based on the authority of a central bank, but on the cooperation of the population.

The greater the cooperation, the greater the trust and therefore the greater the value.
Opportunity cost:

More and more investors think that the opportunity cost of not having BTC is greater than having it, and therefore they buy it and its price continues to increase.

MOFO thinking increases.
Social-Proof Tendency / Feedback Loops:

We are social animals.

The more popular BTC is, the more we think we should buy it, and this increases its popularity and its price, making more people want to join and buy.
Network Effects:

In network-based systems, the first participant usually has a definite advantage over the followers.

There are other currencies similar to BTC, but its popularity means that the more people are connected to BTC, the more powerful it will be.
Incentives / Principal-Agent Problem / Inclusive Economic and Political Institutions:

Fiat currencies are issued by the agent (central banks), who don't have the same incentives as the principal (the population), devaluing the currency.

Especially relevant in corrupt countries.
Black Swan / Antifragility / Resilience:

Globalization increases the impact of unforeseeable events. Covid in 2020 is a good example. Faced with all these events, safe haven assets increase in value.

The greater the crisis, the greater the value of the safe haven assets.
Creative Destruction / Historic Recurrence:

For there to be progress, old models must be destroyed.

The monetary standard has changed throughout history, from salt to the dollar, to silver and gold.

Many think that BTC will be the new monetary standard.
If you want to think from mental models, get your copy:

https://t.co/IA6hnR1Lp6

More from Crypto

1/ [December Bitcoin yield update]

Over the last year and a half, I’ve earned ~1.2BTC with various yield generating services to earn an average of 5% on 30 BTC.

Here’s my journey and how to guide👇

2/ Here are the ways you can earn yield:

Lending (Easiest/most popular)
Yield: 3-6%
- Ledn:
https://t.co/4x0YATuQ0v
- BlockFi: https://t.co/90Xtg2cNka

Covered calls (Harder)
Yield: 1-80%
- Deribit: https://t.co/2iQVkXlylP
- LedgerX:

3/ Earning a yield enables you to stack more sats (what I’m doing), or reduce the temptation to sell your coin through earning an income.

The yield you earn comes with RISK!

Below is my current allocation for Dec (will update MoM)

(yellow = changes)

https://t.co/PZwVYs8lFT


4a/ [Nov > Dec Changelog]

- Covered calls: approx. 4 BTC was in $40k 12/28/20 contracts. Those closed without them being exercised (a good outcome for me). However, I was nervous about my January 1/28 $50k contract so I decided to close out my position at a small loss.

4b/ [Nov > Dec Changelog]

- In process of reallocating the 5 BTC (probably will be a lending platform).
- I incorrectly had my Ledn rate at 6.5%, it's 6.25%
A primer on how to use @coingecko for your crypto data/research/trading needs.

Share it with a friend who needs it!

1/ Getting started with crypto and want to check prices/projects? https://t.co/LFnk4vukxj has info on just about every crypto you'll need :)


2/ Search over 6000+ cryptocurrencies available on the market. You can see what's trending in the space as well.

Researching by categories? Filter (left side) -> Select categories -> DeFi, DOT ecosystem, Exchange-based tokens, NFTs - anything!


3/ Lets say you're looking at #Bitcoin
https://t.co/g205lj03pG

At a glance you get:
- Price
- Mkt Capitalization (valuation)
- Circulating/Total supply
- 24h trading volume
- Links to websites, social media, block explorers
- Calculator

Next - check valuation?


4/ Market cap is used to rank coins, and we'll show you how its calculated - Hover over Circulating Supply (?) for breakdown.

Note: used @chainlink as example here - https://t.co/Jc46fe79Ag

While MC is important also consider product fit, narrative, team, community etc.


5/ If you're trading on AMMs like @Uniswap or @SushiSwap, you can copy the contract address directly to your clipboard.

Using @metamask_io? Add the token directly so it shows as one of the "Assets" that you own in the wallet.

See: https://t.co/94XihMf5oz

You May Also Like

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.