The low-code movement promises to democratise software creation — to put building power in the hands of people who understand problems deeply, not just those who can write code fluently. There is something revealing in the parallel to financial markets, where access to information has been similarly democratised over the past two decades. And yet democratised access has not produced better collective decision-making in markets; if anything, it has amplified the speed and scale of manias. Understanding why requires looking at the psychological architecture underneath rational-looking behaviour.
The essential starting point is the behavioral insights of Daniel Kahneman, whose career-long programme of research demonstrated systematically that human beings are not rational maximisers who occasionally err. Rather, we are intuitive, pattern-seeking, narrative-hungry creatures who possess a capacity for rigorous reasoning that requires deliberate effort to engage. In financial markets, the conditions of volatility, social comparison and uncertainty conspire to keep investors operating in the faster, more instinctive mode — the one that conserves cognitive effort but substitutes experience and association for careful probability assessment.
The Fallacies That Feel Like Insight
Among the most insidious errors is falling for the gambler's fallacy — the belief that an independent event is more likely to occur because a complementary event has occurred recently. After five consecutive down days for a stock, the visceral sense that "it must bounce" is not analysis; it is the intuitive mind detecting a pattern that does not exist in the causal structure of the market. Stock prices on successive days are not a balanced coin that the universe is obliged to correct. A company's prospects on Tuesday are not measurably improved by the fact that its shares fell on Thursday through Monday.
Kahneman and his colleague Amos Tversky identified the narrative fallacy as a companion error: our drive to construct coherent explanations for events that were, in fact, shaped by randomness. After any market move, a satisfying story emerges — the stock fell because of supply chain concerns, it rose because management was strong. These stories are almost always available, because they can be drawn from a vast pool of potential causes and fitted retrospectively. The danger is that compelling post-hoc explanation trains investors to treat their next prediction as similarly well-grounded, when the underlying situation may be just as driven by noise.
When a Shining Quality Outshines Everything Else
Letting one shining trait color the whole judgement is called the halo effect, and it operates powerfully in equity markets. A product that users adore, a CEO who communicates with unusual clarity, a brand that evokes genuine aspiration — these positive attributes radiate outward and inflate assessments of unrelated qualities like balance sheet management, competitive positioning and capital allocation. The halo effect and the narrative fallacy are closely related: the narrative explains why the company is excellent, and the halo makes each dimension of excellence seem more credible than the data supports. Together, they produce the over-extrapolation that defines the final stages of every bubble.
When the Crowd Becomes a Force
These individual biases aggregate into crowd dynamics that can overwhelm even well-capitalised institutional actors. The GameStop short squeeze of January 2021 illustrated this with particular clarity. Retail investors, coordinating through social media forums, identified stocks with unusually high short interest and bought them in size. As prices rose, short-sellers faced mounting losses and were forced to buy shares to close positions — purchases that drove prices higher still, forcing more short-sellers to exit. This reflexive dynamic accelerated faster than the broader market's risk management frameworks could respond, briefly making the equity of a struggling physical retail chain one of the most-traded assets in the world. The narrative fallacy provided the story (small investors defeating Wall Street); the halo effect made GameStop's brand feel like fundamental value; the gambler's fallacy led some to believe the run would continue because it had been going so well.
Kahneman's most sobering observation is that knowing about these biases does not immunise you against them. The intuitive system does not pause because you have read his books. What changes is the possibility of designing decision processes — checklists, pre-commitments, rules that remove discretion at moments of peak emotion — that put structural distance between impulse and action. The goal is not to become an emotionless market participant but to build a system that performs adequately even when the emotional system is running at full volume.