BTC_POWER_LA

Dante and Ulysses merge.
This should be another Bitcoiners motto.
Bitcoin is more about knowledge than a mere asset.
The lines are from Dante’s Inferno, Canto XXVI, in the famous speech of Ulysses (Ulisse) to his companions:
«Considerate la vostra semenza:
fatti non foste a viver come bruti,
ma per seguir virtute e canoscenza.»
A good English translation is:
“Consider your origin:
you were not made to live like beasts,
but to pursue virtue and knowledge.”
Or, a little more poetically:
“Remember what you were born to be:
you were not made to live as brutes,
but to seek excellence and knowled

Dante and Ulysses merge.
This is this should be another Bitcoiners motto.
Bitcoin is more about knowledge than a mere asset.
The lines are from Dante’s Inferno, Canto XXVI, in the famous speech of Ulysses (Ulisse) to his companions:
«Considerate la vostra semenza:
fatti non foste a viver come bruti,
ma per seguir virtute e canoscenza.»
A good English translation is:
“Consider your origin:
you were not made to live like beasts,
but to pursue virtue and knowledge.”
Or, a little more poetically:
“Remember what you were born to be:
you were not made to live as brutes,
but to seek excellence and

When people say the power law is useless even if true.
They are clueless.
Well what about using it to get 1300 BTC starting from 1 in 2014?
Not other information, deviation from the power law alone (useful in combination with slope info), volatility, can help you to achieve this.
Also if you want only a 80 % drawdown you still get 30 BTC.

I'm exploring with Claude a DCA and small leverage strat with Claude using the deviation and daily slopes from the power law.
This chart shows the growth in Bitcoin terms achieved by a strategy based on a Hidden Markov Model (HMM) of Bitcoin’s local power-law slopes. The model identifies different dynamic market regimes and assigns an actionable exposure to each state, ranging from a cash/Bitcoin combination to full Bitcoin and modest leverage (~1.5×).
Importantly, the results are based not only on backtesting but on a walk-forward test from 2014 to the present, where each decision uses only

In a bookstore near to you.

It doesn't matter the unit you use, it is always power laws with Bitcoin.

This is one of the key metrics on the SBI dashboard.
It tracks the long-term slope of Bitcoin's power-law growth and is one of the most stable parameters in the entire model. Since the beginning of the dataset, it has remained remarkably close to its structural value of approximately 5.8.
The colored dots represent the daily slope estimates. These fluctuate from day to day, as expected in any noisy real-world system, but over time they oscillate around the long-term structural trend.
The ⭐ marks the current value. At the moment, it sits slightly above the long-term average, indicating that whi

This is the Monte Carlo page of the Scientific Bitcoin Institute dashboard.
The model operates on daily time scales and projects the range of possible Bitcoin price paths over the next two weeks.
The simulation uses the empirically observed distribution of daily slopes to generate thousands of possible future trajectories. The resulting prediction cone shows the range of prices that are statistically consistent with the historical distribution, together with their associated probabilities.
For example, based on the current distribution, a price of $74,000 has less than a 1% probability of occu

I rolled some dice to decide where to eat and this is what I got. Not bad roll.

I will soon publish a 3D-printable DIY project (with files and everything) on the SBI website. It consists of a box filled with dice that you shake to generate physical randomness. You provide the dice of your choosing for extra security.
A low-cost camera then reads the dice results, and our app converts them into a secure seed phrase.
Is that techy enough for you?
We may also print and assemble some units ourselves and give them to interested SBI members as part of the membership program.

And what about a variation of this?
Add an offline camera that deletes the image after it reads the dots on the dice.
It outputs the dice sequence, 99 dice instead of 25 (9 grid).

Half joking, but one could imagine using a dice shaker with a built-in camera and machine-learning software that automatically recognizes the dots. After only a few shakes, the device could record many dice outcomes and convert them directly into a seed generated from physical randomness. Every shake could be verified by the human that approves the reading with the touch of a button.
Would this be better than rolling and recording the dice manually?
It could certainly be faster and more convenient, especially if the shaker contains many dice and the recognition software is reliable. It would

This is not security theater. Physical randomness (via coin toss, card shuffling, dice rolls) that you generate is the highest standard of randomness you can create within the given constraints. Simple but powerful tech.
Let's do the math:
For the 99-roll (24-word) procedure: each roll has 6 outcomes, so the number of distinct roll sequences is 6⁹⁹ ≈ 1.09 × 10⁷⁷ — a 1 followed by 77 digits.
In bits, that's 99 × log₂6 ≈ 255.9 bits, which is why 99 rolls is the minimum to fill a 256-bit seed: the SHA-256 step then maps those sequences onto the 2²⁵⁶ ≈ 1.16 × 10⁷⁷ possible seeds, an almost exact