I. Who Soros Is, And Why He Needed A New Theory

George Soros was born in 1930 in Budapest, survived the Nazi German occupation of Hungary, and studied philosophy at the London School of Economics under Karl Popper. After moving to the US to become a trader, he founded Quantum Fund in 1973 - a fund that averaged 30% annual returns for nearly three decades, making him one of the most successful speculators in history.

But the more interesting part of the story is this: he didn't believe the economics textbooks being taught. According to Eugene Fama's Efficient Market Hypothesis - the theory that dominated Wall Street and undergraduate economics curricula worldwide - stock prices already contain all available information about a business's true value. One cannot systematically "beat the market" because the market is already right.

Soros saw the opposite from the trading floor: markets are routinely wrong. Bubbles are real. Crowds are real. And most importantly - the crowd's very wrongness creates things that are real. To explain it, he had to return to philosophy. In 1987, he published The Alchemy of Finance - a book many investors bought but few finished, because the first half is metaphysics, not charts.

II. The Core: Two Functions And A Feedback Loop

In classical physics, the observer does not change the object being observed. An astronomer looks at Mars; Mars doesn't care. Newton could measure a planet's orbit without disturbing the planet. This is the founding assumption behind every classical economic model - including the Efficient Market Hypothesis: the market is Mars, the investor is the astronomer.

Soros says that assumption is wrong, at least for markets. And that wrongness has an unexpected ally in science - quantum physics. In the subatomic world, the act of observation creates the outcome: before measurement, an electron exists in superposition; after measurement, the wave function "collapses" into a definite value. The observer and the observed cannot be separated.

Soros names the two separate functions of market participants:

• The cognitive function: people try to understand the world. Beliefs, forecasts, mental models - all are products of this function. It runs from reality → mind.
• The manipulative function: people act based on their understanding. They buy, sell, deposit, withdraw, set policy. It runs from mind → reality.

In classical physics, the two functions are completely separate: an astronomer's observation does not move Mars. In quantum physics, they intertwine at the microscopic scale - observation determines state. In markets, they intertwine at the macroscopic scale - and far more powerfully: my action (buying a stock) changes the price; the price change in turn changes my perception (and everyone else's); the new perception generates new action. A circle with no endpoint, and no "objective market state" exists independent of its participants - just as there is no "objective electron position" before measurement.

The key point: reality is changed not because the belief was "correct" - but because enough people held the belief to trigger large enough action. When the action is large enough, it self-confirms the original belief, even if that belief had no basis to begin with.

III. Five Everyday Examples - Before We Get To Markets

Before talking about the British Pound and mortgage CDOs, start with examples everyone has lived through.

IV. The Life Cycle Of A Bubble - Soros's Eight Stages

In The Alchemy of Finance and later lectures, Soros describes every bubble - from 17th-century Dutch tulips to Bitcoin in 2021 - as passing through the same eight-stage trajectory. It doesn't predict when a bubble will burst; it describes the shape of a bubble already burst, viewed in hindsight.

Soros stresses an important asymmetry: the boom is long, the bust is short and violent. A bubble takes years to inflate - but can burst in weeks or days. The reason lies in the credit structure: credit flows in during the rise, but on the reversal, banks call in loans all at once, forcing liquidation all at once - the speed of credit withdrawal is many times faster than the speed of the original inflow.

V. Black Wednesday - The Night Soros Broke The Bank of England

This is the moment reflexivity theory was applied to an actual trade and brought in $1 billion in a single day. The story matters not because it was about guessing the right price - but about recognizing the structure in which the market's own belief could force the Bank of England to capitulate.

VI. Two Great Bubbles - The Dot-Com Bust And The 2008 Housing Crash

VII. Reflexivity vs The Efficient Market - Two Opposing Philosophies

To see how different Soros's reflexivity is, place it next to the doctrine that dominates Wall Street:

Importantly: Soros doesn't say the Efficient Market Hypothesis is entirely wrong. He says it's right most of the time - on most days, for most assets, prices reflect information reasonably well. But at the moments when reflexivity operates strongly - an accelerating bubble, a panicked run - the efficient model is blind. And those moments are when the real action happens.

VIII. Applications - Familiar Waves In Asia

Reflexivity theory isn't just about London in 1992 or Wall Street in 2008. The same structure repeats in every market with collective belief and credit. Asia - and Vietnam - offer several examples over the past five years worth comparing side by side.

A common pattern across the region

Looking at the two examples above - the VN-Index and VinFast - alongside Black Wednesday, the dot-com bust, the 2008 housing crash, and SVB, the structure is strikingly similar. Soros said in his 2009 CEU lecture: "A financial bubble is not a feature of a particular asset class or a particular country. It is a feature of any market with participants who are intelligent but fallible - which is to say, every real market."

IX. Deliberate Reflexivity - When The State Is The Largest Participant

The four examples above are spontaneous reflexivity: millions of dispersed participants, no one directing it, belief spreading like a virus, and prices arriving at their own breaking point. But reflexivity also operates - even more powerfully - when a single party is large enough to simultaneously form official belief, mobilize capital according to that belief, and set the frame for measuring the outcome. That party is a state with high administrative mobilization capacity.

Several East Asian economies - China, Singapore, Vietnam - operate under a model in which state-owned banks, flagship enterprises, planning bodies, and media can be coordinated relatively closely through policy channels. Placed into Soros's theory, two possibilities coexist - and they share the same mechanism.

The problem is the signal - not the will

In a market with many independent participants, price plays a two-way role. It aggregates the crowd's belief (as Soros describes), but it also allows dissent through selling. When someone spots a bubble and sells, the price falls - and the falling signal feeds back to the next buyer to reconsider. That is the self-correcting mechanism. Friedrich Hayek called the market price the economy's "nervous system": it transmits dispersed information that no single center could aggregate on its own.

When a single party becomes too large - through ownership of state banks, control of the main media channels, the authority to direct preferential capital flows - the two-way signal gets muted. Someone who doesn't believe may not sell (fearing non-financial risk), may not speak up (no channel to broadcast through), may not withdraw (no safe place to withdraw to). Belief is no longer continually tested by skeptics. When that happens:

• If the slogan aligns with the real current of technology and demand - it becomes true very quickly, because credit, labor, and media all push in the same direction at once. This is Soros's reflexivity at national scale, with a plus sign.
• If the slogan runs against the real current - it still gets executed, still gets built, still gets reported as a success - until the system's finances can no longer bear the cost of that mistake. There is no early correction; only a late rupture.

Soros made this point indirectly when writing about post-1989 transition economies: reflexivity always operates in every structure, but the speed of correction depends on whether the market allows dissenting voices to feed back into the price. A dispersed market has many small bubbles, but they burst early and transparently. A centrally coordinated model has fewer small bubbles, but accumulates until it bursts big.

This is not a moral judgment - no system escapes reflexivity; the Wall Street crowd of 2007 also operated on its own kind of "synchrony" (through shared risk models, through shared credit ratings). This is an observation about the shape of the reflexive loop across different institutional structures. A society with many independent buyers and sellers will have wide short-term swings but self-correct. A society with strong centralized coordination capacity will have narrower short-term swings - but if it drifts off course, the correction arrives late and heavy. The question isn't which system is "right"; the question is: which stage of the reflexive loop is your system in, and where will the corrective signal come from?

X. Lessons For The Ordinary Reader

Soros writes that reflexivity is a framework for thinking, not a trading formula. But from that framework, a few practical principles can be drawn for the individual investor - and more broadly, for anyone living in a society where collective belief operates.

1. When a price rises because it has already risen, and for no other reason - that's a reflexive signal. Ask: what fundamental has actually changed to justify this price? If the answer is only "because everyone else is buying too," you're in stage 4 or 5.
2. Abundant credit is a warning sign, not a sign of health. Reflexivity is most dangerous when asset prices and credit rise together in a feedback loop. The 2008 housing crash, Vietnam's real estate in 2021, China's land frenzy - all the same pattern.
3. Don't mistake "the market" for "reality." A company's stock price is not an objective verdict on that company's worth. Price is the result of collective belief - belief that can be right, can be wrong, and can create the very thing it believes.
4. Withdrawing early in a bank run is individually rational, but collectively a disaster. This is why society needs a lender of last resort (a central bank) - to cut the feedback loop that no individual can cut on their own.
5. Soros himself said: "I'm rich because I know when I'm wrong." Fallibility is the starting point. Someone certain they're right doesn't recognize reflexivity - they are reflexivity.

Reflexivity theory doesn't promise to predict the future. It promises something more modest: recognizing the structure of the situation you're in. When a phở shop is crowded because it's genuinely good, that's one story. When a phở shop is crowded only because people see it as crowded, that's a very different story - and the second story always ends when the flow of new arrivals stops.

From the Bank of England in 1992 to crowds lining up at 2 a.m. in 2022, from NASDAQ at 5,048 to VinFast at $93 - the same law applies. Belief creates reality. Reality reinforces belief. The loop accelerates until something - credit running dry, rates rising, a triggering event - forces it to stop. When it does, most of what belief had created disappears, leaving the last ones in to bear witness.

Soros called his own book alchemy, not science. That is a humble truth about markets: they are not the physical universe, where laws repeat with precision. They are a human universe, where the laws also participate in creating the phenomena they describe. For the individual investor, understanding this - without needing to know exactly when a bubble will burst - is already a tremendous advantage.