The single most underrated feature of #Bitcoin is that it ties money to the global energy supply.

Today, money printing incentivizes humans to do one thing: consume.

Consumption requires energy - consider all that goes into getting a fidget spinner delivered to your doorstep.
Manufacturing the fidget spinner, transporting it across the ocean, storing it in a warehouse, and getting it shipped across the country with 2 day Prime shipping - all of this consumes energy.
When this process is funded by debt, we are consuming energy with money that didn't exist before the loan. In other words, money creation allows us to consume energy that we wouldn't have been able to otherwise.
A nation that can simply print trillions of dollars in the form of debt has unlocked a cheat code to consume far more energy than it otherwise would have.
This actually may bring prosperity for a while - it could even lead to progress and innovation unlike anything we've seen before!

But over time, we become accustomed to our high energy usage. We may even become reliant on our excessive energy usage.
As climate concerns and global warming pop up, we have gone to great lengths to determine how to become more energy efficient.

Meanwhile, increasing amounts of new dollars are created, further reinforcing the incentive to consume beyond our means.
Many obsess over the question of how to be more efficient with our current consumption. Few are asking the more important question: are we consuming too much too fast?
By tying money to global energy, #Bitcoin solves the over-consumption problem created by our current system.

Before Bitcoin, we could print money and incentivize the consumption of way more energy.
Bitcoin, with its limited supply, cannot be printed. The *only way* to create more Bitcoin is to find increasingly efficient methods of energy consumption.
Yes, Bitcoin requires energy consumption. But importantly, it requires increasingly *efficient* consumption of energy. It incentivizes people to find new sources of energy that were untapped before.

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More from @WittyUsername30

15 Sep 20
I've been doing a deep dive into money - what it is, how it works, history, etc.

Money is taken for granted by most, but it's really the first principle of the economy (and society). Money is the base layer, and everything else is built on top.
The base layer / first principle of a complex system is profoundly important and should not be meddled with, because the second, third, and nth order consequences are not predictable.

Well-intentioned changes to the base layer can unexpectedly wreck the entire system.
Another feature of such a complex system like the economy is that there are a lot of (complicated) arguments for which factors drive certain effects.
Read 28 tweets
22 Aug 20
Some highlights / takeaways / thoughts / comments from #RWRI 14, Day 10:

1. If your metric is not useful during times of crisis, then your metric is simply not useful.
Many metrics are some variation of reward divided by risk, where 'risk' can be further broken down as: measured risk divided by hidden risk.

If you increase your hidden risks, it artificially increases your reward to risk ratio.
It's very difficult to increase the expected return, so many will increase hidden risk in order to provide the illusion of a high reward-to-risk metric.
Read 41 tweets
21 Aug 20
Some highlights / takeaways / thoughts / comments from #RWRI 14, Day 9:

1. It took us decades to figure out that trans fats were harmful. GMOs can have the same problem.

Just because we don't have evidence of a problem does not mean that there is no problem.
2. When implementing a tail risk hedge strategy (whether in finance or other domains), your goal is to be at a point where you are okay with your worst case scenario.
3. Finance vs. Engineering.

In finance, tail risk hedging is often scorned. In engineering, tail risk hedging is the entire point (i.e. you are ensuring your bridge won't collapse).
Read 7 tweets
20 Aug 20
Some highlights / takeaways / thoughts / comments from #RWRI 14, Day 8:

1. To deal with bad actors in a system, ensure damages to the system will also damage the bad actor.

This is difficult to do in practice, but Bitcoin accomplishes it.
The value of Bitcoin is largely based on trust of the system. So if bad actors are able to break the trust of the system, the value of Bitcoin could crater, making the bad actors' heist of Bitcoin lose its value.
The bad actors are concave (low upside, huge downside) in this scenario. It makes more sense for the bad actor to steal cash and buy Bitcoin with it or steal Bitcoin from a custodian like Coinbase, than to attack the network directly.
Read 18 tweets
19 Aug 20
Some highlights / takeaways / thoughts / comments from #RWRI 14, Day 7:

1. Just because x is normally distributed does not mean that f(x) is normally distributed.
In other words, just because you can predict a specific variable / input for a model does NOT mean that the model itself should be used to forecast.
This is because x could be solely probability-based and have no second-order consequences. f(x), however, is based on the *effect* of that probability, which introduces second-order consequences (i.e. degrees of separation between the probability and the end result).
Read 23 tweets
18 Aug 20
Some highlights / takeaways / thoughts / comments from #RWRI 14, Day 6:

1. Chaotic systems occur when tiny differences in initial conditions result in wildly different results (e.g. changing a variable from 10 to 10.0001 gives a completely different result).
To predict a system like this, you would need infinite precision, which you don't have. These systems are "unpredictable but characterizable," as you can predict the possible states but not where it will be at any given point.
Example: You can't predict the weather 1 year from now, but you can know the range of outcomes of what the weather could be 1 year from now.
Read 20 tweets

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