Reflexivity is the two-way causal link between belief or perception and reality: beliefs change behaviour, behaviour changes outcomes, and outcomes reinforce or revise beliefs. The system is not a one-way input-output map; the "output" feeds back into the "input." In markets, prices reflect beliefs about fundamentals, but prices also affect fundamentals (e.g. credit conditions, investment, consumption). In organisations, expectations affect performance, and performance affects expectations. The loop can be reinforcing (a virtuous or vicious cycle) or dampening (corrections). The strategic implication: when reflexivity is present, prediction is harder because the act of predicting — or acting on the prediction — can change the outcome.
George Soros popularised reflexivity in finance: market participants don't merely discover prices that reflect fundamentals; they influence fundamentals through their behaviour. A rising market can loosen credit and boost spending, which justifies the rise — until the loop reverses. The same pattern appears in reputation, hiring, and product adoption: perception affects reality, which affects perception. The discipline is to map the loop: what beliefs or prices drive what behaviour, and how does that behaviour change the thing that was believed or priced?
Reflexivity undermines the idea of equilibrium as a stable attractor. In reflexive systems, equilibrium is at best temporary; the feedback can push the system away from where "fundamentals" would place it. The analyst's job is to identify when reflexivity is strong (so that extrapolation is risky) and when the loop might flip.
Section 2
How to See It
Reflexivity shows up wherever beliefs, prices, or expectations influence the reality they are supposed to reflect. Look for: a feedback loop from "what people think" or "what the market says" to "what actually happens," and back. The diagnostic: does acting on the belief (or price) change the outcome that the belief (or price) was about?
Business
You're seeing Reflexivity when a company's stock price falls, which triggers covenant breaches or margin calls, which force asset sales or cost cuts, which worsen results, which pushes the price lower. The price was supposed to reflect value; instead, the price changed the value. The same dynamic applies to reputation: belief that a brand is strong drives purchases, which reinforces the brand.
Technology
You're seeing Reflexivity when a protocol or platform's token price affects developer and user adoption, which affects utility and demand, which affects the price. The "fundamental" is use case and network; but the price influences who builds and who joins. Hype can become self-fulfilling until the loop reverses.
Investing
You're seeing Reflexivity when crowded trades move prices in the direction of the crowd, validating the trade until it's overextended — then the reversal feeds on itself. Or when a company's narrative (e.g. "growth stock") drives multiple expansion, which lowers cost of capital and funds growth, which supports the narrative. The loop is reflexive; extrapolation is dangerous.
Markets
You're seeing Reflexivity when rising asset prices loosen collateral and credit, which fuels more buying, which raises prices further. The link from prices to credit to real activity is reflexive. Central banks and regulators try to dampen or break the loop; when they don't, booms and busts are amplified by reflexivity.
Section 3
How to Use It
Decision filter
"When beliefs or prices can influence the reality they describe, assume the loop can amplify or reverse. Don't extrapolate linearly. Map the feedback: what behaviour does the belief (or price) trigger, and how does that change the outcome? Position for the loop flipping, not just continuing."
As a founder
Reflexivity appears in narrative and traction: the story you tell affects who joins and who buys, which affects the results you can report, which affects the story. Use it by aligning narrative and execution so the loop is virtuous — but watch for the moment when the story gets ahead of reality and the loop can reverse. The mistake: assuming that because the loop has been reinforcing, it will continue. The second mistake: ignoring that your own messaging changes the playing field (competitors, talent, customers react to it).
As an investor
In reflexive markets, valuation is not a one-way discovery; it's part of the dynamic. When prices affect fundamentals (e.g. cost of capital, M&A, behaviour), expect overshoot and reversal. Position size and entry/exit should account for the loop — avoid assuming equilibrium. When you see a reflexive loop, ask what would break or reverse it.
As a decision-maker
When your belief or forecast can influence the outcome (e.g. announcing a target, publishing a price, setting expectations), you're in a reflexive situation. Model the feedback: how will others react to your view, and how will that change the facts? Update your view as the loop runs; don't treat the first iteration as the final answer.
Common misapplication: Treating reflexive systems as if they were stable. Extrapolating trends when the trend is partly driven by the extrapolation itself leads to late entries and late exits. The fix: model the loop and look for reversal conditions.
Second misapplication: Ignoring your own role in the loop. Your analysis, position, or narrative can move the market or the organisation. If you don't account for that, you're missing a cause.
Section 4
The Mechanism
Section 5
Founders & Leaders in Action
George SorosFounder, Soros Fund Management; Open Society Foundations
Soros built his investing framework on reflexivity: prices don't just reflect fundamentals; they affect them. He looked for situations where the loop was extended and likely to reverse — "I look for the flaw in the thesis." His famous trades (e.g. sterling in 1992) exploited reflexive dynamics: the market's belief in a peg affected behaviour (flows, rates), which eventually made the peg unsustainable. The discipline was to stay in the trend while it was reflexive and exit when the loop was about to flip.
Musk uses reflexivity deliberately: his public statements and targets move perception, which moves stock price and customer demand, which affects funding and execution capacity, which affects whether the targets are met. The narrative is part of the strategy — but it creates risk when the loop gets ahead of reality and sentiment can reverse. Musk's approach is to keep driving execution so that reality catches up to the narrative before the loop flips.
Section 6
Visual Explanation
Reflexivity: beliefs/prices influence behaviour; behaviour influences outcomes; outcomes influence beliefs/prices. The loop can reinforce or reverse.
Section 7
Connected Models
Reflexivity sits with self-fulfilling prophecies, feedback loops, and observer effects. The models below either instantiate it (Self-Fulfilling Prophecies), describe the structure (Feedback Loops), or warn about measurement affecting outcome (Goodhart's Law, Observer Effect).
Reinforces
Self-Fulfilling Prophecies
A self-fulfilling prophecy is a belief that causes behaviour that makes the belief true. Reflexivity is the general case: belief and reality influence each other. Self-fulfilling prophecy is one form of the loop — expectation drives outcome.
Reinforces
[Feedback](/mental-models/feedback) Loops
Reflexivity is a feedback loop: the output (outcome) feeds back into the input (belief). Feedback Loops describe the structure; reflexivity is the application to beliefs, prices, and reality.
Leads-to
[Observer Effect](/mental-models/observer-effect)
The observer effect: measuring or observing changes the system. Reflexivity extends this: beliefs and prices are a form of "observation" that changes the system. When you have a view and act on it, you're in the loop.
Tension
[Goodhart's Law](/mental-models/goodharts-law)
Goodhart's Law: when a measure becomes a target, it ceases to be a good measure. Reflexivity is the mechanism: the target (belief, price) drives behaviour that changes the underlying, so the measure no longer reflects what it did. The two are closely related.
Section 8
One Key Quote
"Reflexivity asserts that prices do not merely reflect the so-called fundamentals, but actually affect the fundamentals. So the relationship is circular."
— George Soros, The Alchemy of Finance
The circularity is the core. Once you see it, you stop treating prices (or beliefs) as passive reflections and start modelling how they change the thing they're supposed to reflect.
Section 9
Analyst's Take
Faster Than Normal — Editorial View
When reflexivity is present, extrapolation is dangerous. The trend can persist because the loop is reinforcing — then reverse when the loop flips. Position for both continuation and reversal; don't assume the loop runs forever. The best trades and strategies often account for the flip before it's obvious.
Your view is part of the system. If your analysis is public or your position is large, you're in the reflexive loop. Your belief affects behaviour (yours and others'), which affects the outcome. Model yourself in the loop; don't assume you're an outside observer.
Narrative and execution must stay aligned. In companies and markets, the story can run ahead of reality for a while. When the gap gets too large, the loop reverses — reputation and price correct. The discipline is to close the gap before the market does it for you.
Section 10
Summary
Reflexivity is the two-way link between belief (or price) and reality: beliefs drive behaviour, behaviour changes outcomes, outcomes revise beliefs. In such systems, prediction is harder because the act of predicting or acting changes the outcome. Map the loop; watch for reinforcement and reversal. Don't extrapolate as if the system were one-way.
Keynes on animal spirits and the role of expectations in investment and employment. Expectations affect behaviour; behaviour affects outcomes. Reflexivity in macro.
Information cascades occur when people act on the signal of others' actions rather than private information. Reflexivity can drive cascades: prices or beliefs move, others follow, which moves prices or beliefs further. The cascade is a reflexive loop in social form.
Second-order effects are the consequences of consequences. Reflexivity is a second-order (and higher) effect: your action changes the state, which changes the next best action. When reflexivity is present, first-order analysis is incomplete.
