Being Right Too Early: Revisiting My 2013 Bitcoin Post on Satoshi’s Forum

“For the vision awaits its appointed time; it hastens to the end - it will not lie. If it seems slow, wait for it; it will surely come; it will not delay.” - Habakkuk 2:3

TL;DR: HODL.

Being right too early is indistinguishable from being wrong, until it isn't.

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This is the most expensive lesson of my life - and a hope that others don’t pay the same price.

In December 2013, I outlined an economically grounded case for why Bitcoin could reasonably 40x in value to top cryptographers on the Cryptography Mailing List, in a thread titled [Cryptography] On Security Architecture, The Panopticon, And 'The Law'.

The same Cryptography Mailing List where Satoshi had introduced Bitcoin five years earlier.

At the time, Bitcoin traded around $750, Mt. Gox still ran the market, and mainstream coverage lumped it with Silk Road and scams. Back then, my $31k math sounded insane to others. Today, it looks conservative, and mainstream analysts now model Bitcoin the same way I laid out in 2013, against M2 Money Supply - not equities, not tulips, not uncorrelated Internet play money.

I was an enterprise architect building secure, multi-tenant B2B messaging systems for Fortune 500 companies, working daily with PKI, encryption, and trust architectures. I had also studied economics at UCSD under Mark Machina. Many of my peers from that program went on to careers defending central banking from the inside - Yale PhDs, Wall Street VPs. I went the other way. My libertarian leanings made me skeptical of that consensus.

So when Bitcoin appeared, it hit a trifecta for me: secure and permissionless, supply-capped and outside central banks, and democratized for anyone in the world.

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The Forum Where Giants Gathered

This wasn't just any discussion forum. The Metzdowd Cryptography Mailing List was where the field's luminaries gathered. Several participants in our 2013 Bitcoin discussion have been considered potential Satoshi Nakamoto candidates over the years. These were the people who helped build the Internet's cryptographic rails, exactly the cohort most likely to interrogate Bitcoin's viability with rigor.

The 2013 Thread: [Cryptography] On Security Architecture, The Panopticon, And "The Law"

• John Kelsey: NIST cryptographer, co-designer of Yarrow and Twofish, author of foundational work on RNGs and hash-function attacks.
• Jerry Leichter: Yale computer scientist, expert in distributed systems and cryptography, early contributor to the Linda coordination language.
• Ian Grigg: Financial cryptographer, creator of Ricardian contracts and triple-entry accounting, early DigiCash architect.
• Phillip Hallam-Baker: Web security pioneer at CERN/MIT, prolific IETF RFC author on HTTP/DNS, introduced the "referer" header.

What followed wasn't much consensus. It was disciplinary lenses colliding: cryptographers reading technical risk and price mechanics, while I argued a money-supply valuation lens. Same object, different instruments.

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The Early Days (2010-2012) - Hostile Rejection

I had first stumbled across Bitcoin on Reddit a few years earlier. I immediately saw Bitcoin as revolutionary. To me it wasn't just another form of Internet play money. I saw Bitcoin as both a monetary experiment and a system with real-world potential. It was the most exciting humanitarian idea I had come across in my post-college adult life.

These were the early days, and I wanted to understand Bitcoin concretely and holistically. I ran early mining software on a Hewlett-Packard desktop in my basement, met up with like-minded strangers in downtown Seattle to trade small amounts of Bitcoin for cash, used an early peer-to-peer exchange in Finland, and avoided Mt. Gox. I was already buying coffee and sandwiches at a few shops around Seattle - and with the launch of Gyft by mid-2013, I could purchase retail gift cards for Target, Best Buy, and Amazon directly with Bitcoin. I was an early believer, convicted by my background in economics, cryptography, and my libertarian leanings.

In those early years, I was surrounded by a chorus of dismissal: scams, nerd money, too complex, will never be adopted. My parents didn’t get it. My smartest technologist friends didn’t get it. Even my econ peers, the PhDs and Wall Street VPs, laughed it off as a bubble, something only for fools and criminals. By late 2013, though, the story had shifted: VCs were investing, IBM was experimenting, and early adopters like me were buying coffee with it. The frustration wasn’t that everyone was against it anymore, it was that adoption was moving so much slower than the technology warranted and even 5 years in it still felt like the world wasn't ready.

To me, it was the opposite: a humanitarian breakthrough, a fight against inflationary central banking, and a vehicle for freedom. That contrast, seeing something intrinsically beautiful while being told it was tulips or crime, was maddening.

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Fast Forward to 2013

I had survived the years of outright dismissal, and by 2013 there were finally flickers of recognition. But recognition wasn’t the same as adoption.

Bitcoin had just seen a meteoric climb (beginning the year at $13 and crossing $1000 in November), so when I outlined my stance in December on what I considered common Bitcoin misconceptions on the [Cryptography] On Security Architecture, The Panopticon, And "The Law" post, speaking to the cryptographers felt like a chance to get validation on my framing that I wasn't getting elsewhere.

But even there, they weren’t seeing the pieces I saw.

Moreover, I was an outsider to the group, having only posted a couple times prior. They were what we say in Puerto Rico, "socios". The social validation wasn’t in my corner. This is another hurdle in being early; stepping into a room where your cache isn’t yet scaffolded in their eyes. A form of social pressure, even when you’re convicted.

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The 2013 Thread: Where Lenses Diverged

John Kelsey

John Kelsey had argued Bitcoin would be purchased just-in-time to support online purchases, but were an awful store of value. That economic and monetary framing didn't apply.

I am pretty skeptical that much of the economic theory around monetary inflation or deflation applies very cleanly to bitcoins, given that it's all online, with very low transaction costs, and is likely used only to do specific transactions.

Robert Christian (Me)

In response to John's post, but also to the broader thread, I laid out sober and economically rooted assertions about viability, and responses to what I considered common misconceptions and poor general framing of Bitcoin by the world at large, including a valuation frame: $31k per coin based on 1% global adoption considering M2, liquidity trap analysis, and a layered money thesis.

M2 Monetary Supply is 66 trillion. If it all moved to BitCoin, each coin would be worth 3.1 million dollars. If BitCoin saw only a 1% adoption worldwide, each coin would be valued at $31,000 US dollars.

Bitcoin is a currency that is easier and faster to transact on a large scale than anything else in existence. It's not a collectable. This comparison is simply misguided.

A bubble is 'A theory that security prices rise above their true value and will continue to do so until prices go into free fall and the bubble bursts.' To call it a bubble means that you must have a tangible grasp on its true value. Nobody knows what the true value is. The point being, you can’t call it a bubble unless you can identify what its value should be.

Consider that BitCoin is just a single form of Crypto Currency. It’s very plausible that a second alt coin, possibly an inflationary one, will be used in addition to BitCoin. Where BitCoin would serve as more of a store of value, and an alternate coin would serve as every day cash. In fact, this is already being experimented with today.

It can be seen as an investment from the perspective of 'If I spend US $1,000 on BitCoin today, I might make a 2x return by end of year.” But it’s very short sided trying to compare it to an equity. As mentioned above, it makes more sense to look at in terms of 'how much of the overall money supply will be made up of bitcoin?' Today it’s 10 Billion US dollars and growing. That's nothing to scoff at.'

The ecosystem around BitCoin and Crypto-currency in general is growing rapidly, and backed by leading venture capitalists investing in startups, big banks, and big technology companies like IBM. The issues around ease of use will dissolve in a relatively short amount of time. And hacking will always be a problem, just like bank robberies and muggings will always exist. As these issues are diminished over the coming years, we'll see more mainstream adoption.

Issues in the underlying architecture, including the ability to replace existing crypto algorithms, the 51% attack, transaction time as Bitcoin scales, and potential issues with address collision. But these can be solved over time within Bitcoin, or another alt coin.

Political issues like taxation, cross-border exchanges, and central governance. This is the biggest can of worms, but not the type of problem we should call unsolvable. In fact these concepts may very well be reinvented and evolved in a better way. My point here is that just because it doesn't fit into an existing framework doesn't mean it won't work. This is a problem that great inventions commonly encounter, and not a de-facto deal-breaker.

People are trying to make sense of something we’ve never seen before in history. This is a new invention. And it is money by definition. There’s no more “if” when you can use it to purchase goods, gamble, and settle debts. We’re already at this point.

Ian Grigg

In response, Ian Grigg approached my outline from a different angle entirely. Where I saw intrinsic value tied to monetary aggregates (macro sense), he argued that only market price and transaction fees mattered (micro sense). His critique was that bubble analysis itself was flawed because intrinsic value was unknowable (that doesn't mean it doesn't have intrinsic value, and it doesn't mean you can't apply first principles to valuing intrinsic value for a new innovation). He agrees the payment service was valuable, but dismisses it in the macroeconomic sense, seeing it as valuing "a payment", and strictly price-discovery centric. He nods to me more than once about being an insider, and therefore I must be talking it up. There's ironically a sense of being anti-bitcoin as a community, and being concerned only with the technology and price mechanics.

In hindsight maybe he was Satoshi, gaslighting us all. 😂

There is no such thing as 'true value' in any measurable or definable sense. There is only price on a market. This might indicate today's 'value' but it changes momentarily, and it's better to talk about today's price if one wants to test economic theories.

You can't call it a bubble unless the people inside have an expectation that the price will rise, where that expectation is based more on people's expectations than the delivery of productivity and real returns.

One of the symptoms of a bubble is that insiders frequently talk it up :) That's a simple incentives result, there's no reason to believe that insiders have the lock on economic analysis just because they hold BTC. Before we go further, why is it that Bitcoin community don't want to label their thing as a bubble? Or a ponzi or pyramid? Is it just because these are bad words, of poor respect?

The divergence was fascinating: Here I was making a basic economic argument about valuation theory, and Grigg, who would later become notable in cryptocurrency circles, approached it through pure price mechanics and community pessimism. We could have explored M2 as a falsifiable value proxy; instead my assertion was overlooked.

Phillip Hallam-Baker

Meanwhile, Phillip Hallam-Baker was still skeptical, and raised legitimate regulatory concerns, though his comparison to penny stocks and prediction of RICO prosecutions proved overly pessimistic. To his credit, he wasn't wrong to flag regulatory risks; they became the biggest battlefield, exactly as I predicted.

As with the dotcom bubble it is easy to see that it will pop but impossible to know when it will pop and so there is no way to make money from the expectation.

BitCoin is currently indistinguishable from a penny stock in a company that has no revenues, no assets or expectations of any in the future.

Depending on the legal theory the FBI wants to concoct, shutting down BItCoin could be as simple as asserting that everyone who participates in BitCoin in any way is a co-conspirator with the cryptolocker/silk road/etc. organized crime gangs and thus subject to civil forfeiture and criminal prosecution under RICO. Sure, the theory might well stink but after the US courts have spent ten years desperately looking the other way to avoid recognizing torture, murder and imprisonment without trial, anyone who want to rely on the US courts protecting their civil rights is suffering from sillier delusions than their belief in the inevitability of BitCoin.

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They were seeing fragments of the puzzle through their specialized lenses. Their expertise in cryptography and security was unquestionable, but monetary economics wasn't their domain. And that's where the opportunity lived: in the space between disciplines.

I wasn't predicting "number go up." I was saying "this is money," and framing it against the money supply, when it was far enough along to do so. To cryptographers, that sounded like bubble talk. To bankers, it sounded like tulips. But to me, it was just math and economics.

Being early demands not just vision, but conviction. Without both, insight can look and feel indistinguishable from error.

Looking back, Bitcoin hasn't just grown exponentially. Its cycles have consistently mapped to Fibonacci retracements. That's not mysticism, it's market psychology expressed in math. Conviction builds, collapses, and rebuilds in ratios that repeat across time. Adoption may be a power law in the long arc, but the path has unfolded in Fibonacci waves; the human cadence of grappling with a paradigm shift: conviction, doubt, fear, capitulation, renewed belief. I'm not claiming causality, only that crowd behavior repeatedly traces Fibonacci-like retracements across cycles.

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Right often looks wrong to smart people with less verticals connected. Trust your gut. Others don't have the context you have.

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Fast-Forward to 2025

Twelve years later, the framing I argued for, Bitcoin in relation to money supply, has gone from fringe island to mainstream.

• Academic research now models Bitcoin explicitly against monetary aggregates:
  • The impact of global economic policy uncertainty on Bitcoin (2023, Journal of International Money and Finance) ScienceDirect
  • Bitcoin price and money supply (2023, Quantitative Finance & Economics) AIMS Press
• Bitcoin Counterflow publishes live charts of Bitcoin vs global M2. Charts
• Reddit discussions now track Bitcoin's correlation with global M2, noting it has surpassed gold. Post

The chart below compares US M2 money supply (yellow) with Bitcoin's price (green, log scale). The bars show how fast M2 was growing each year. Notice the pattern: when M2 expanded, especially during COVID stimulus, Bitcoin surged. When M2 briefly contracted in 2023-24 (a rare event), Bitcoin corrected but held its ground. The rhythm is clear. Bitcoin has been shadowing global liquidity since 2017.

What I framed as simple Econ 101, "look at money supply, not equities, not digital tulips", is now a standard analytic lens.

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Parsing through my post

What I Said in 2013 vs What Happened

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What I Missed: The Execution Gap

Hard-won scar tissue that now sharpens my edge.

Timing Underestimation - I thought adoption would move faster. Each wave took 3-4 years, not 1-2 as I expected. Paradigm shifts move slower than frameworks predict.

Personal Execution Failure - The psychological toll of being early broke my conviction. I didn't HODL.

I let it fall through my hands, because even though I saw its long-term potential, it felt like not enough of the world believed.

Realizing it required significant human buy-in to work, I allowed social pressure to talk me out of its long-term viability, in a cycle, over and over. Intellectual conviction ≠ emotional resilience. HODL and diamond hands aren’t memes, they’re survival skills. But alas, I'm still here. Still building, still innovating.

It's not enough for innovative insights to just look right on paper, they must survive volatility and human pressure in practice.

Volatility Impact - I underestimated how 80%+ drawdowns would test even true believers. Framework accuracy doesn't eliminate emotional challenges.

Regulatory Complexity - The political battles became more complex and lasted longer than I anticipated. Political adoption follows different timelines than technical adoption.

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Lessons

Meta-Lessons About Prediction and Analysis

• Document Your Reasoning - Having the original 2013 post allowed for precise retrospective analysis. Predictions without reasoning are just guesses that got lucky. Detailed documentation enables learning from both hits and misses

• Quantitative Frameworks Beat Qualitative Opinions - Mathematical models (1% of M2 = $31k) provided testable hypotheses. Numbers create accountability; opinions allow endless revision. Even imperfect models beat narrative-driven analysis.

• Synthesis Beats Specialization - Cryptographers missed the economics, economists missed the technology. Cross-domain thinking revealed what single-domain expertise couldn't. The biggest opportunities live between disciplines.

Personal Conviction Lessons

• Skin in the Game Clarifies Thinking - Mining, trading, and using Bitcoin revealed practical realities. Theoretical knowledge without practice breeds false confidence. Real stakes force you to confront what you actually believe.

• Social Proof is a Terrible Guide for Innovation - Smart friends' and colleagues' dismissals became my excuse to sell. Consensus thinking is backward-looking by definition. Trust your synthesis when you've done unique work.

Broader Innovation Lessons

• New Paradigms Need New Metrics - Comparing Bitcoin to equities or commodities missed the point. Revolutionary technologies require first-principles analysis. The right framework matters more than sophisticated math.

• Adoption Follows Human Psychology, Not Logic - Technical superiority doesn't guarantee adoption. Social proof gates each wave of users. Understanding human behavior beats understanding technology.

• Being Early Hurts - The gap between right and rich can span years. Conviction without patience leads to capitulation. Sometimes being too early teaches you more than being right.

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Reflection

Looking back twelve years later, the technical predictions held up remarkably well:

• Scarcity and network effects made Bitcoin durable
• It became the store-of-value, while stablecoins and L2s carried velocity
• The network's security has held up, no hacks of the core chain
• Politics became the battlefield, exactly as predicted
• My valuation math wasn't crazy, $31k was hit and passed

But the real story is human.

Some of my banker friends eventually bought Bitcoin. Late, but early enough to profit. I didn't keep my money where my mouth was - I didn't HODL. At the time, I thought: If my smartest friends don't get it, how could it take off?

I listened too much to others. Economists, financiers, cryptographers, advisors, attorneys.

I had correctly anticipated its resilience all along, but let the chorus voices create paper hands.

What I missed was what I now think of as the Fibonacci effect of adoption, two interwoven patterns playing out in waves.

First, the expanding circles of understanding. Each archetype had to grasp it before the next could advance:

cryptography/economics SMEs → libertarian technologists → speculators → VCs → institutions → governments → retirement plans.

Each group's acceptance legitimized it for the next, creating the social proof the following wave required.

Second, within each wave, the same psychological cycle:

discovery → analysis → conviction → doubt → capitulation → reset → reevaluation → renewed optimism → march forward → discovery

Every crash triggered this sequence. Those who held through, whether from conviction, stubbornness, or simply forgetting their keys, rode the pattern. The "HODL" meme captured something profound about human psychology in the face of volatility.

And each wave of adoption followed the Gandhi arc perfectly:

First they ignore you, then they laugh at you, then they fight you, then you win.

The lesson cuts deep: Being right too early is indistinguishable from being wrong, until it isn't. Trust your synthesis when you see connections others miss. But pair that conviction with patience, because adoption moves in waves, and each wave follows its own psychological cycle.

Because if Bitcoin has proven anything, it's that the right idea, at the right time, with the right execution, can change the world.

But timing is everything. And sometimes, being too early teaches you more than being right.

I hope this post resonates with anyone who's been early to a paradigm shift, whether in crypto, AI, or any other transformative technology. Too early feels like failure until the world catches up.

Let's see how this post ages in the next 12 years.

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The 7Sigma Way: From Synthesis to Execution

Twelve years ago, I saw Bitcoin as money when others saw tulips. I was right about the $31k target, wrong about my own conviction; I was unable to HODL, sold to social pressure. It slipped through my hands. The lesson? Being right too early isn't enough without the execution to see it through.

That's why I built 7Sigma: to turn synthesis into execution. It's how teams avoid being "right too early" but wrong in practice. We embed at the frontier, where AI reshapes legacy systems, where security meets scale, where paradigm shifts demand more than theory. At 7Sigma, we don't just predict change; we build through it. Because insights without execution are just expensive lessons.

If these lessons resonate - whether you’re wrestling with adoption curves, navigating regulatory change, or scaling frontier systems - let’s connect.

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About 7Sigma

7Sigma was founded to close the gap between strategy and execution. We partner with companies to shape product, innovation, technology, and teams. Not as outsiders, but as embedded builders.

From fractional CTO roles to co-founding ventures, we bring cross-domain depth: architecture, compliance, AI integration, and system design. We don't add intermediaries. We remove them.

We help organizations move from idea → execution → scale with clarity intact.

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Don't scale your team, scale your thinking.

Learn more at 7sigma.io

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Authored by: Robert Christian, Founder at 7Sigma
© 2025 7Sigma Partners LLC