The Case for Colonel Jack O'Neill Being Satoshi Nakamoto

*An entirely serious investigation into a completely unserious theory.*

Everyone assumes Satoshi Nakamoto was a brilliant cryptographer.

They never considered he might have been a U.S. Air Force colonel with access to alien technology.

Allow me to present the evidence:

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## Exhibit A: The Timing

Bitcoin appeared in 2008.

By then, Colonel Jack O'Neill had already:

* Saved Earth multiple times.

* Downloaded the entire Ancient database into his brain... more than once.

* Fought the Goa'uld, the Replicators, the Ori, and enough government bureaucracy to develop a permanent distrust of centralized authority.

If anyone understood why humanity needed a decentralized monetary system, it was Jack.

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## Exhibit B: The Pseudonym

**"Satoshi Nakamoto."**

A perfect alias.

Why Japanese?

Because it's just plausible enough to send everyone looking in the wrong direction.

Would O'Neill spend months crafting an elaborate fake identity?

Of course not.

He'd pick a name that sounded convincing, shrug, and head off-world before anyone asked questions.

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## Exhibit C: Bitcoin Solves an Interstellar Problem

Across the Stargate universe, every great civilization eventually ran into the same weakness:

Centralization.

The Goa'uld centralized power.

The Ori centralized religion.

Earth centralized politics.

Eventually, someone always controlled the money.

Bitcoin removes the ruler from the equation.

Perhaps Satoshi wasn't trying to solve a twenty-first century banking problem.

Perhaps he was solving a problem that every advanced civilization eventually encounters.

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## Exhibit D: The White Paper Is Only Nine Pages

Nine pages.

That's all.

Why?

Because Jack hated long explanations.

If Daniel Jackson had written Bitcoin, the white paper would have been 327 pages long, complete with footnotes tracing the history of currency back to ancient Mesopotamia.

Jack's version?

"Here's how it works. It fixes the problem. Any questions?"

Exactly nine pages.

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## Exhibit E: The Million Bitcoin Mystery

Roughly one million bitcoins believed to belong to Satoshi have never moved.

Most people assume he disappeared.

There's another explanation.

He's off-world.

It's surprisingly difficult to sign a Bitcoin transaction when you're several galaxies away and your hardware wallet doesn't support Ancient technology.

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## Exhibit F: Why the Low Time Preference?

One of Bitcoin's defining cultural traits is low time preference.

Think long-term.

Delay gratification.

Build for the future.

Jack spent years fighting enemies who measured their plans in centuries.

Compared to that, waiting through a four-year halving cycle is practically instant.

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## Exhibit G: The Humor Fits

Bitcoin is full of understated jokes.

The Genesis Block message.

Hidden references.

Magic constants.

Dry humor buried in code.

That sounds suspiciously like the man who routinely saved humanity while complaining about paperwork and golf.

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## Exhibit H: The Great Disappearance

Satoshi never sought fame.

No interviews.

No conferences.

No autobiography.

No attempt to cash out.

Mission complete.

Move on.

That's exactly how SG-1 operated.

Finish the mission.

Leave without expecting applause.

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## Exhibit I: The Stargate Was the Original Peer-to-Peer Network

Think about it.

The Stargate network connected independent worlds.

No single gate controlled the others.

Each gate verified connections independently.

An iris protected against malicious actors.

Addresses were encoded.

Connections required consensus.

The resemblance to Bitcoin's network architecture is... intriguing.

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## The Final Piece of Evidence

There is, admittedly, one flaw in this theory.

Jack O'Neill wasn't known for writing cryptographic software.

Then again...

He did have the Ancient database downloaded into his brain several times.

Who's to say SHA-256 wasn't covered in Chapter 14?

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## Conclusion

Is there any concrete evidence that Colonel Jack O'Neill created Bitcoin?

No.

Is there any concrete evidence that he **didn't**?

Also no.

Until someone can explain why one million bitcoins remain untouched while an Air Force colonel with access to intergalactic travel vanished from public view, this theory deserves at least the same level of consideration as many internet conspiracy theories.

After all...

*"Indeed."*

Same, But Different: Fractals, Markets, and the Structure of Human Pleasure. An essay by ChatGPT.

There is a simple intuition that appears across disciplines, from art to mathematics to financial markets: *what feels most compelling is neither complete repetition nor total randomness, but something in between*. This can be described as “same, but different.” While the phrase sounds casual, it points toward a deep structural feature of how humans perceive, learn, and derive pleasure from patterns.

At the core of this idea is the way the human brain processes information. The mind is constantly forming predictions about the world—about what will happen next, what a pattern should look like, how a sequence should unfold. When those predictions are perfectly met, the result is stability, but also boredom. Nothing new is learned. When predictions are completely violated, the result is confusion or even anxiety, because the system cannot form a coherent model. Between these two extremes lies a narrow and powerful zone: patterns that are recognizable, but not fully predictable. This is where engagement—and often pleasure—emerges.

Fractal structures offer a clear illustration of this principle. A fractal is built on repetition across scale: the same kind of pattern appears whether you zoom in or out. Yet the repetition is never exact. Each level introduces variation, distortion, or elaboration. The result is a structure that feels coherent but never exhausted. You can continue exploring it without reaching a final, fully predictable form. In this sense, fractals are not just mathematical objects—they are perceptual experiences that align closely with how the brain prefers to encounter complexity.

A similar dynamic appears in language and music. Rhymes repeat sounds while shifting meaning. Melodies return to familiar motifs but alter timing, pitch, or emphasis. Rhythm provides a stable framework, while variation prevents monotony. In each case, the listener is able to anticipate just enough to stay oriented, while still being surprised enough to remain engaged. Too much repetition becomes mechanical; too much variation becomes noise. The balance between the two creates aesthetic satisfaction.

This same principle is perhaps most intuitively encountered in the cycle of the seasons. Each year unfolds in a familiar sequence: growth, expansion, decline, and rest. Spring gives way to summer, summer to autumn, and autumn to winter, before the cycle begins again. Yet no year is identical to the last. Temperatures shift, timing varies, and local conditions reshape how each phase is experienced. What returns is not the exact content of the past, but its structure. The seasons do not simply repeat; they recur with variation. In this sense, they form not a closed loop, but a kind of spiral—revisiting the same phases under new conditions. This is “same, but different” expressed through time.

Financial markets extend this principle into a more chaotic and consequential domain. Price movements often appear to “rhyme” with past behavior. Trends, reversals, bubbles, and crashes share structural similarities across different timeframes. A short-term chart can resemble a compressed version of a long-term one. This resemblance suggests a kind of fractal behavior: patterns that echo across scales without ever repeating exactly.

However, markets introduce an important complication. The patterns are not purely mathematical—they are generated by human behavior. Fear, greed, imitation, and feedback loops create recurring structures, but these structures are always distorted by context, timing, and collective interpretation. As a result, what traders often develop is not the ability to predict exact outcomes, but an intuition for *types of processes*: accumulation, expansion, instability, and collapse. These processes feel familiar, even when their details differ.

This is where the idea of “same, but different” becomes especially powerful. In markets, nothing repeats exactly, yet certain dynamics recur often enough to be recognizable. A trader may feel that a current situation resembles a past one—not because it matches perfectly, but because it shares an underlying structure. This resemblance can be useful, but it is also dangerous. The human brain is prone to seeing patterns even when none exist, projecting familiarity onto randomness. The same mechanism that enables insight also creates illusion.

The concept of proportionality, often associated with the golden ratio, adds another layer to this discussion. Many people perceive certain proportions as more “natural” or balanced than others. In markets, this appears in the idea that price movements often retrace or extend by certain fractions. Whether or not these proportions reflect a true underlying law, they align with human expectations about what feels like a “complete” or “balanced” move. In this sense, proportion acts as a kind of rhythm within the broader fractal structure—guiding how changes unfold rather than determining exactly what will happen.

Taken together, these ideas point toward a general principle: human perception is tuned to patterns that are compressible but not trivial. We are drawn to structures that we can partially understand, but not fully predict. This applies to visual forms, sounds, narratives, natural cycles, and even complex systems like financial markets. The most engaging experiences are those that continually update our expectations without collapsing into either certainty or chaos.

So the statement “same, but different gives optimal human pleasure” is close to the truth, but incomplete. The crucial detail is that the *degree* of difference matters. Too little variation leads to boredom; too much leads to confusion. Optimal engagement lies in a moving balance—patterns that are stable enough to recognize, yet flexible enough to evolve.

In this light, fractals, rhymes, seasonal cycles, and market behavior are not separate phenomena, but different expressions of the same underlying dynamic. They all operate within the space between repetition and randomness. And it is precisely within that space—not in perfect sameness, and not in total difference—that human attention, intuition, and pleasure find their most natural home.

Thoughts on running a hobbyist node.

The days of "I run a node to support the lightning network" are in the past. The focus has changed, and now lightning nodes are becoming big business. Large commercial nodes have 10-20M minimum channel size, fees are maximized up to thousands of sats ppm, and big node runners close channels from "peers" if they are too small or on Tor, or just not profitable enough. It was never my intent to make a profit on running a node. I have a lifetime profit of around 4000 sats on Orville, and consider a break-even a success. My aim is to have a well functioning small routing node, and have fun with it.

In reverse

BTC Prague did not generate a lot of activity on Orville this year. But some of the channels which had been sources, and which had very low or no outbound fee, started to behave more like sinks and vice versa. This did not generate income, but it balanced my channels and filled up the “traditional” sinks. I remind myself that my measure of success is not the amount of sats earned, but a low to zero number of failed HTLCs due to insufficient outbound on the channels. If HTLCs happen, less HTLCs fail, and the node is not bleeding sats, then all is well. Now I just stop rebalancing and wait to see if the sinks will go back to draining mode.

Starting a new Orville node

Some things are the same as back in '21 when my first lightning node was spun up. Most of the old peers are still in business: Whales like LNBIG and Wallet of Satoshi are still routing sats like the champs they are and plebswapping is still going on at the LN+ site. Some things have changed. Fees are overall higher. Rebalancing is even harder now than then. 

I realize how different old Orville routed as an established node with many channels, compared to new Orville with less channels. I am fighting the temptation to open just a couple more channels to better enjoy the network effect - but then I remember the bad old times with high mempool fees and force closes. Wanting more successful HTLCs to populate my channels is a greed I have to resist. 10 to 15 channels. No more than that.

Syncing the blockchain

Got a new 2TB SSD and planning to spin up a new node. This time I will keep it small - 10-15 channels at 2-5 mil. sats each. Mempool is, however, a bit too busy right now for channel opening.

Closing time

Orville is closing. It has been routing sats since 2021 when the blockchain was under 400 GB, but now when we are approaching 600 GB it'll need more storage than the 1TB. My little Raspberry Pi is getting tired too. Therefore, I am closing down most channels this coming weekend, and only keeping a few for private payment purposes. Somewhere down the road Orville will surely fly again with high hopes, reckless abandon and better hardware, but for now it will be in the hangar. Thank you peers! See you in Amsterdam on 9-10 October?

Closing remotely opened channels

I do not like closing channels that are opened to me by peers, but today I am closing two channels which were opened to me about one month ago. Mempool fees are low today, so it will not cost my peers a lot. Both peers are tor only with no contact info in their Amboss entry, so I will post my reasons here:

* There was no organic routing happening from these two peers to me.

* I had to set very high outbound fees towards these peers to stop a stream of failed outgoing HTLCs due to the zero balance on my side. This raised my average outgoing fee level, which I like to keep low.

* Even though the incoming fees for these channels were low, I was not able to rebalance the channels within reasonable expense limits. The channels were on the larger side for my small node, which affected my node’s overall inbound/outgoing balance.

Boosted by BTC Prague

Coming back from BTC Prague after 2 wonderful days amongst other Bitcoiners, I was curious to see, if all the lightning transactions I saw happening at the conference had affected Orville’s routing volume. And yes, it actually had! Lots of little routings of 2000 - 100,000 sats. If a conference makes such a difference, what will happen when all the lightning payment providers I met at the conference get more clients, and more small payments start coming through the network?

Orville’s volume got boosted by the event, and my enthusiasm for Bitcoin got boosted by the talks on stage and seeing all the different initiatives and businesses building on Bitcoin and the lightning network. 

Update

Orville is running Umbrel on a RasPi4. Some months ago, a new version of the OS was released. After reading about the many issues other Umbrel users had with this update, I was in doubt whether I wanted to do it, or if I simply wanted to shut down Orville.

It is my long term ambition to transfer to another platform where I feel more in control of what is “under the hood” than with Umbrel, and to get some more cpu, storage and memory on the node, but for now I decided to do the upgrade. Luckily it went fine, so Orville will fly a little while longer.