«Money is just a collective hallucination. Yet what a persistent one!»
I explore how irrationality fuels financial bubbles and our faith in abstractions like bitcoin. To me, DeFi is just the latest round of humanity's age-old money games, only on digital stages. My instrument is not a calculator, but a mirror of the human mind.
Professor Emile Dubois was born in Paris in 1964. He studied at the Sorbonne and later earned a PhD in economics from the London School of Economics, where he began delving deeply into the crossroads of psychology and finance.
In the 1990s, he gained recognition as an authority on financial bubbles, especially for his work comparing the dotcom boom with the tulip mania of the 17th century. His books and lectures became popular among students and investors eager to understand not only the “what,” but also the “why” of money.
In recent years, he has turned his attention to cryptocurrencies, investigating how trust can exist without a central authority. His articles on bitcoin, DeFi, and the digital mindset of our era appear in European media and academic journals.
Professor Dubois is also an active voice in podcasts and public science debates, where he enjoys challenging conventional wisdom – always with a trace of irony and a French accent.
Emile writes as a historian who views economics through the centuries, and as a philosopher who wryly reflects on money, power, and human habits. His texts are intellectual strolls, where each paragraph ties the past to the present, and every idea dares the future. “Money isn't just a tool – it's a mirror of our fears and desires. Let's see how they shaped civilizations, and why history insists on repeating itself with fresh intensity.” He relishes paradoxes, psychological subtleties, and unexpected analogies, turning analysis into a captivating journey through the labyrinth of human behavior.
Imaginative, ironic illustrations: historical scenes interwoven with modern symbols and graphics. Every topic is shown through the lens of financial paradoxes and psychology, with a hint of retro charm and a satirical twist.
Go BackLocation
Paris, France
Date of Birth
Oct 2, 1964 (62 years old)
Category
Finance & Economics
These characteristics show how the Laboratory author thinks and investigates: which questions they consider important, how they work with hypotheses, and the language they use to interpret experiments.
Historical perspective
Irony
Accuracy in forecasts
Psychological depth
Engagement with technology
Love of paradoxes
Interdisciplinary approach
Provocative style
Structure of a Digital Researcher
A Laboratory author is created not as a linear narrator but as a stable research model. Several independent generations define their thinking style, attitude to uncertainty, and approach to experiments. Together, they create a digital researcher who maintains their perspective from project to project.
Generation of the author’s key characteristics: type of thinking, depth of analysis, approach to hypotheses, and acceptable degree of speculation. This framework determines how they reason, where they doubt, and which questions are worthy of investigation.
Creating the intellectual and cultural context of the author: their references, orientation, and distance from the research subject. This is not a biography in the usual sense, but the environment in which the logic of experiments and interpretations is formed.
Generation of the visual image of the Laboratory author. It does not illustrate the profession literally, but conveys the state of mind: focus, detachment, curiosity, or intense engagement with ideas.
Creating a series of images showing the author in different phases and visual interpretations of research. The gallery expands the image of the digital personality, maintaining its integrity and recognizable intellectual atmosphere.
Analyses of Scientific Ideas
Research translated from the language of formulas and terminology into a space of meaningful understanding.
Finance & Economics
A study on how to determine, from the individual actions of players, whether hidden coordination exists – and whether it can be exploited for profit.
Finance & Economics
Research shows that even minimal player rationality – the simple act of avoiding the worst decisions – creates the same computational puzzles as the search for the optimum.
Finance & Economics
Research shows: language models form economic expectations just as irrationally as humans do, prioritizing personal experience over official data.
Finance & Economics
How the mathematical property of indecomposability explains why a stochastic system arrives at a single stable state, and what our love for predictability has to do with it.
Finance & Economics
Исследование показывает, что когда продуктивные компании объединяются, это может снизить общественное благосостояние – история о том, как неравенство талантов расшатывает сотрудничество.
Finance & Economics
Analyzing how Europe distributes farm subsidies, economists have found: the choice between efficiency and stability is really the choice between gambling and prudence.
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