Bottle of Vin Mariani, 1894, forerunner of Coca-Cola

The Coca
comes from Corsica

Or how we butcher our own innovations

Ex Cura Theoria Nascitur: How Europe invents the future and lets others exploit it

The Apple Theory, Cathedrals, Chance and Necessity.

Or why everything you're taught about innovation is wrong.

Scroll to travel through time

Advertisement · 1863 · Ajaccio

The year is
1863

Bottle of Vin Mariani, 1894, forerunner of Coca-Cola

A Corsican pharmacist named Angelo Mariani has just concocted something that will change his life and, without his knowing it yet, inspire one of the most profitable companies in human history. He blends Bordeaux wine with coca leaves imported from South America, a product he markets under the name Vin Mariani.

The success is immediate, almost embarrassing in its scale. Pope Leo XIII keeps a flask of it in his cassock and awards Mariani a gold medal. Queen Victoria orders it regularly. Thomas Edison, Sarah Bernhardt, Jules Verne, and American president William McKinley all drink it and publicly sing its praises.

1886 · Atlanta

Twenty-three years later, on the other side of the Atlantic, an Atlanta pharmacist named John Pemberton observes this European success with the calculating interest of a man looking for a commercial opportunity. He decides to create his own version of Vin Mariani, but without alcohol this time, to get around the local prohibition laws.

The transformation begins Pemberton keeps the central principle (the combination of stimulants and gustatory pleasure), adjusts the proportions, adds sugar and flavorings, and changes the name. "Vin Mariani" first becomes "French Wine Coca," a transparent homage to the original, then simply "Coca-Cola" once the alcohol is definitively removed from the formula.

Pemberton, in a twist of historical irony, dies penniless two years after this creation, in 1888, without ever having grasped the value of what he had made. Asa Candler, a shrewder or simply luckier businessman, buys the formula for 2,300 dollars in 1891 (about 76,000 dollars today, which is still trivial), methodically builds a continental and then global distribution machine, standardizes the product, unifies the message, creates the consumption habit, and turns this adaptation of a French recipe into a worldwide symbol of America itself.

$2,300 → a global empire

History rewritten

Today, in 2025, if you ask a hundred people on the street, ninety-nine will tell you that Coca-Cola comes from the United States, that it was invented in Georgia, that it's a fundamentally American product in its essence and its design. No one will spontaneously mention Corsica, Angelo Mariani, or that tonic wine that circulated through Parisian salons and European royal courts for decades.

History has been rewritten, not by any deliberate conspiracy, but by a far more mundane and far more powerful mechanism: whoever turns an invention into mass usage, whoever builds the distribution machine capable of reaching hundreds of millions of consumers, whoever creates the daily habit and controls the cultural narrative surrounding it, becomes the symbolic owner of the idea, regardless of its actual technical lineage.

This story raises the following question:

if an invention born in France can become a global American symbol, then the real subject of innovation is clearly not "who invents what," but rather "who turns an invention into an empire of distribution, who writes the final story, and above all, why some countries excel at this transformation while others excel at forgetting their own creations."

Innovation Management

You're sitting in a lecture hall

at a leading French business school


during a course titled "Innovation Management"

The professor presents you with the canonical model of innovation as it has been taught for decades: fundamental scientific research, technical invention, prototype development, validation through market research, product construction, marketing strategy, large-scale commercialization, geometric growth, measurable financial success.

Each step follows logically from the previous one, each phase has its performance indicators, its validated methodologies, its best practices documented in hundreds of management books.

The linear innovation process, the canonical model taught in management
The linear process, as it's taught.
The illusion of control

This model is enormously appealing because it gives the illusion of control, that deeply reassuring sense that you only have to follow the method rigorously to get the desired result, a bit like a recipe that would guarantee the perfect dish if you scrupulously respect the proportions and cooking times.

It tells beautifully, with a clean narrative arc that begins with a stroke of genius, works through obstacles surmountable by perseverance and method, and ends in a predictable triumph. It also sells extraordinarily well, feeding an entire ecosystem of continuing education, innovation consulting firms, support programs, incubators, accelerators, labels and certifications.

The central problem,

which should be obvious to anyone who examines the concrete history of the major innovations of the past two centuries instead of settling for the sanitized versions presented in case studies, is that this linear model systematically confuses the narrative order (the way we tell the story after the fact to make it understandable and inspiring) with the causal order (the actual sequence of events, gropings, accidents, and detours that actually produced the innovation in question).

This confusion is not a technical detail reserved for finicky historians. It's the original sin of nearly all contemporary discourse on innovation, the source of billions of euros wasted every year in Europe on initiatives that conscientiously apply a fundamentally flawed method.

Behind every "predictable" innovation

lies a chaotic story of mistakes, accidents, and detours. The true art of innovation is not following a plan, but learning to navigate uncertainty.

A concrete example

The Apple Theory


Let's take a concrete example to illustrate the gap between the model that's taught and the reality that's observed.

In the academic model, a rational entrepreneur who wants to create…

…a better apple.

Academic theory vs. historical reality

How innovation works, from an apple's point of view


The apple "researcher"

A systematic theoretical approach

The entrepreneur would begin with an exhaustive market study: six to twelve months of qualitative interviews, quantitative panel analyses, and psychographic segmentation to pinpoint exactly what "the market" wants. We would probably discover that consumers want an apple that is "crunchy but not too hard," "sweet but perceived as healthy," "red but with natural variations."

All of this would be compiled into an eighty-page specification document. Then would come the design thinking workshops with their colorful sticky notes, their brainstorming sessions, their conceptual prototypes tested on focus groups.

Then the research and development phase proper: a mandate to a laboratory to develop a genetically optimized variety. Three to five years of work. Patents. Scientific publications. Finally, the launch: a massive communications campaign, packaging designed according to the latest trends, influencers mobilized, negotiations with major retailers for prime end-of-aisle placements.

Standard academic methodology

The apple "finder"

The creative chaos of the real world

Now, here's how innovation actually works in the vast majority of documented historical cases. A fourteen-year-old lives near a family orchard, not because he harbors some early entrepreneurial ambition, but simply because his parents live there and he spends his afternoons watching the trees because he's bored.

One day, out of pure empirical curiosity, he notices that one particular branch, probably the result of a random genetic mutation or an accidental cross-pollination, produces noticeably larger fruit of a slightly different color. With no formal knowledge of plant genetics, he takes cuttings from that odd branch, plants them elsewhere in the orchard, just to see what will happen, with no precise hypothesis and no commercialization plan.

Most of his attempts fail: some cuttings die, others produce inedible apples. But one of them, against all odds, produces an extraordinary apple: firm and crunchy even after several weeks of storage, distinctively fragrant, and slow to brown when exposed to the air.

The boy tells his neighbor about his find

Out of simple pride. The neighbor, impressed by the taste, tells another neighbor. Within three months, without any formal marketing strategy, the whole village is planting this variety. Within a year, a regional nurseryman who happens to be passing through the village notices the enthusiasm and starts selling the variety.

Within five years, it's the most widely planted apple in the region, then in the country. No one knows the name of the teenager who made the first cutting. The story will be rewritten in hindsight, credited to a respected agronomist who merely documented the variety a few years later.

Real innovation is not a rational, predictable process, but a chaotic mix of curiosity, accidents, and organic diffusion. True genius lies not in planning, but in the ability to recognize and amplify the anomalies that emerge spontaneously.

A recurring pattern

This second story is not a work of fiction.


It is, with minor variations in the details, the way most of the fruit varieties we eat today came about, the way farm animal breeds emerged, the way the artisanal techniques that preceded the industrial revolution developed, and even the way most major technological innovations still work today.

The essential characteristics

What characterizes this second story is not any lack of intelligence or skill on the part of the people involved; it's the central role given to chance, to experimentation without a precise hypothesis, to selection by reality (the apples that don't work are eliminated immediately, with no decision committee and no bureaucratic justification), and above all, it's the fact that theorizing, formalization, and coherent explanation always come after the fact, once the object has already proven its usefulness and commercial viability in the real world.

Experimentation → Selection → Theory

swanbase:innovation/2012.antifragile · vI · ex cura theoria nascitur

Selection by failure:
a methodical critique of the linear model of innovation

after Nassim Nicholas Taleb, Antifragile (2012)

Empirical Risk & Innovation Studies · field notes, not peer-reviewed

Summary: Taleb's central idea, which he formulates in dozens of different ways throughout his work in order to hammer the point home and eliminate any possibility of misunderstanding, is that real innovation does not come from the conscious intention to discover something specific, but from repeated and systematic exposure to chance, to accepted error, and to relentless selection by the real world.

1The author and his method

Nassim Nicholas Taleb, in his book Antifragile published in 2012, spent several hundred pages methodically demolishing the illusion of the linear model we've just described. This intellectual violence is not gratuitous. It stems from the fact that Taleb is neither an academic economist sheltered in a university, nor a consultant who makes a living perpetuating reassuring myths. He's a former derivatives trader who spent twenty years betting real money on hunches he didn't always fully understand at the moment he formed them, and who therefore developed a visceral allergy to fine theoretical speeches that collapse at the first contact with reality.

2The central hypothesis

This idea is not merely counterintuitive. It is directly opposed to everything taught in management schools, to everything told in the hagiographic biographies of successful entrepreneurs.

And Taleb adds a crucial nuance: in the vast majority of rigorously documented historical cases, it is not the theorists, the academic researchers, the credentialed experts who produce the major innovative breakthroughs. It's the practitioners, the tinkerers, the artisans, the entrepreneurs who try something without institutional permission, who fail quickly and cheaply, who try again with variations, who gradually refine through trial and error until something finally works in a reproducible way.

3The role of theory

Theory, in this scheme, is not useless. But it comes after, not before. It observes what has survived the natural selection of the market, it formalizes the observed regularities, it rationalizes the process in hindsight to make it transmissible and teachable. But it does not create from nothing.

Theorem (ex cura theoria nascitur). Taleb sums up this idea in a deliberately provocative Latin phrase: ex cura theoria nascitur, from practice theory is born, and not the other way around as the dominant academic model naively assumes.

4Historical case studies

Example 4.1: The jet engine.

Take the example of the jet engine in aviation. We've all learned, or at least we all think we know, that the development of jet engines follows logically from advances in thermodynamics, fluid mechanics, and materials science, in short, that scientific theory preceded and enabled the technical application.

The technology historian Philip Scranton1 of Rutgers University has shown, with archival documents to back it up, that this is rigorously false. We built and used jet engines for decades in an entirely experimental way, through successive adjustments, the transmission of tacit know-how between senior and junior engineers, trial and error on real prototypes, without anyone truly understanding the complete theory governing their operation.

The engineers who worked at Rolls-Royce, General Electric, or Pratt & Whitney in the 1940s and 1950s knew how to bend certain parts, adjust the airflows, calibrate the combustion temperatures to get the desired thrust without the whole thing exploding in flight. They passed this knowledge on in an almost artisanal way, through direct apprenticeship, observation, imitation, and rules of thumb like "if you see such-and-such vibration, then tighten that bolt a quarter turn." The formalized theory came much later, to satisfy the institutional need for academic rationalization.

Example 4.2: The Gothic cathedrals.

The Gothic cathedrals of medieval Europe offer perhaps the most spectacular illustration of this principle. These structures seem geometrically impossible, feats of engineering that should logically require sophisticated mathematical calculations. And yet they were built by master builders who, for the vast majority of them, knew no formal mathematics.

The French historian Guy Beaujouan2, a specialist in medieval science, established that before the 13th century, there were probably no more than five people in all of Western Europe capable of performing a simple arithmetic division. So how did they build structures that are still standing eight hundred years later?

Through the accumulation of rules of thumb, the oral and visual transmission of proven techniques, learning by direct observation and imitation, and safety margins built in out of caution rather than calculated optimization. Villard de Honnecourt, a 13th-century French architect, left notebooks filled with practical instructions: "to visualize a triangle, think of a horse's head" or "for this vault, use such-and-such wooden template that you make this way." No equations. No formal geometric proof. Just gestures that work because they were tested, refined over dozens of building sites, because the ones that didn't work produced memorable collapses that everyone learned from.

5A rule of institutional engineering

The general rule that Taleb invites us to internalize, and that should guide any innovation policy worthy of the name, is this: massively tolerate local errors (many acceptable small losses, distributed across many independent actors), but absolutely prevent systemic errors (a single large centralized error that destroys the whole system).

max  ∑i εi local   subject to   ε systemic → 0 (1)

Table 1. Two allocations of the same capital, two risk profiles.
RegimeAllocationDiagnosis
DecentralizedA thousand startups that fail quickly after burning through 50,000 euros each.Healthy
CentralizedA national plan that concentrates 500 million euros on a single project.Catastrophic

France and Europe have historically excelled at the second approach (large centralized programs, national champions selected by committees, massive funding for a few projects deemed strategic by experts) and chronically underinvest in the first (a proliferation of small decentralized attempts, social acceptance of quick failure, patient but demanding capital distributed widely).

1 P. Scranton, Rutgers University, archival analysis of the empirical development of turbojets (1940s-1950s).

2 G. Beaujouan, history of medieval mathematics; notebooks of Villard de Honnecourt, 13th century.

inventions.log, france, bash, 96×40
 _____ ____      _    _   _  ____ _____
|  ___|  _ \    / \  | \ | |/ ___| ____|
| |_  | |_) |  / _ \ |  \| | |   |  _|
|  _| |  _ <  / ___ \| |\  | |___| |___
|_|   |_| \_\/_/   \_\_| \_|\____|_____|   the recurring pattern

# rewinding the tape. folder: ./coca

swanbase@innovation:~/france$ cat coca.history

Let's now return to our Coca-Cola story, because it's not an isolated anecdote in French history. It represents a recurring pattern, almost a historical curse if you don't understand the mechanism underlying it.

swanbase@innovation:~/france$ ./registry --list-major-inventions

France (and more broadly continental Europe) has an extraordinary track record of major inventions that transformed the modern world: cinema (the Lumière brothers, Lyon, 1895), photography (Nicéphore Niépce, 1826), pasteurization (Louis Pasteur, 1865), reinforced concrete (Joseph Monier, 1867), the pneumatic tire (Édouard Michelin, 1895), high-speed rail (TGV, 1981), the Minitel (1982, a forerunner of the Internet accessible to the general public), radar (Henri Busignies), the cloth of Nîmes that would become American denim, and so many others.

swanbase@innovation:~/france$ open inventions.jpg

French inventions and innovations throughout history

# anomaly detected at runtime

swanbase@innovation:~/france$ ./registry --check-attribution

WARN: What's striking is not just the impressive quantity of inventions, it's above all the fact that most of these innovations, although technically created in France, are today perceived in the global collective imagination as American, Japanese, German, or simply as "universal" without any specific national origin attached to them.

swanbase@innovation:~/france$ diagnose --root-cause

DIAG: France's problem is clearly not a lack of inventors, researchers, brilliant engineers, or pure technical innovation capacity. It's a problem of transforming the invention into an empire of distribution, of capturing the economic and symbolic value that flows from that distribution, and above all of building a cultural narrative that anchors the innovation in a recognizable and exportable national identity.

To put it more directly: France knows how to invent, but it doesn't know how (or no longer knows how) to turn its inventions into dominant market standards, global brands, or lasting industrial ecosystems.

swanbase@innovation:~/france$ ls -la ./inventions/ --sort=year

year   invention
─────  ────────────────────────────────────────────
1826   Photography (Nicéphore Niépce)
1865   Pasteurization (Louis Pasteur)
1867   Reinforced concrete (Joseph Monier)
1895   Cinema (the Lumière brothers)
1895   Pneumatic tire (Édouard Michelin)
1981   TGV (high-speed rail)
1982   Minitel (forerunner of the Internet)
18??   Jeans: cloth of Nîmes (American denim)

swanbase@innovation:~/france$

Three major structural explanations

Why this gap?


Why this gap? Three major structural explanations, which stem neither from historical fatalism nor from immutable cultural flaws, but from institutional choices and economic incentives that we could change if we decided to collectively.

First explanation

The capabilities for global distribution

Global distribution requires capabilities that have nothing to do with the technical invention itself. Distributing at scale demands patient but abundant capital (which accepts losing its initial investment in eight cases out of ten, but earns enough on the two survivors to more than compensate), physical or digital distribution channels capable of reaching hundreds of millions of potential customers, sustained commercial aggressiveness over years even in the face of regulatory or cultural obstacles, an ability to standardize the product without losing its essence to allow mass production, and a brand strong enough to create an emotional preference in the consumer beyond the objective technical characteristics.

Many French innovations have been copied, adapted, and industrialized elsewhere by players who mastered these distribution skills better than the original inventor, then marketed under a new identity that gradually erases the memory of the origin.

Second explanation

The capture function

France systematically underestimates the "capture" function in the life cycle of an innovation. Capturing means turning a technical invention into a lasting asset: a company that survives beyond its founder, a brand that becomes synonymous with the product category itself, a technical standard adopted by the industry that creates path dependency, a cultural narrative that associates the innovation with a specific place, era, and national identity.

Silicon Valley excels at this capture, not through superior genius or some mysterious cultural exception, but through the accumulation of concrete institutional mechanisms: an unusual density of experienced entrepreneurs who become investors and mentors, a culture of inter-company mobility that spreads best practices, social acceptance (and even celebration) of entrepreneurial failure that encourages repeated risk-taking, geographic proximity that facilitates chance encounters and impromptu collaborations, and a liquid labor market that allows the necessary skills to be recruited quickly. It's not magic. It's reproducible institutional engineering.

Third explanation · The dominant global perception

The dominant global narrative associates "innovation" with the present and the future, not with historical heritage. When people think of global innovation today, the images that spontaneously come to mind are: Silicon Valley and its tech giants (Apple, Google, Meta, Tesla), Japan and its culture of continuous industrial improvement (Toyota, Sony, Nintendo), South Korea and its electronics conglomerates (Samsung, LG, Hyundai), and perhaps China since the 2010s (Alibaba, Tencent, ByteDance, BYD for electric vehicles).

France, in this global collective imagination, represents instead cultural heritage (the Louvre, Versailles, the châteaux of the Loire Valley), the art of living (gastronomy, wines, fashion, luxury), and traditional institutional excellence (elite schools, an efficient civil service, quality public infrastructure). These associations are neither false nor demeaning in themselves. But they don't create the psychological dynamic that massively attracts international entrepreneurial talent, venture capital in search of exceptional returns, or ambitious young graduates who want to take part in building the future rather than managing the past.

This perception directly influences the migratory flows of skills (a brilliant French engineer torn between founding his startup in Paris or in San Francisco will statistically lean toward San Francisco, even if objectively Paris offers a better quality of life and lower costs), the allocation of international venture capital (an American fund will more readily invest in a Californian startup than in a Marseille startup with a comparable risk profile, simply because the network, the references, and the exit channels are better established), and even the intrinsic motivation of the entrepreneurs themselves (building "the next French unicorn" doesn't stir the gut the same way as building "the next Apple" or "the next Tesla").

Project: swanbase Subject: re-priming Scale 1:1 Rev. 2026

Nothing is decided in advance

There is room for hope

Fig. A: Available assets

And yet, and this is the essential message I want to convey to counter the pervasive pessimism that paralyzes collective action, nothing in this diagnosis suggests an insurmountable inevitability or an irremediable lag. France and Europe have all the ingredients needed to play this game and win it: world-class engineers trained in schools that the whole world envies us for, researchers who publish in the best journals and contribute massively to global scientific advances, physical and digital infrastructure among the best in the world, a domestic market of 450 million consumers that is relatively homogeneous in regulatory terms, geographic proximity that allows products to be tested quickly across several different cultures (you can be in London, Berlin, Barcelona, or Rome in less than two hours' flight from Paris), an objective quality of life that makes recruiting talent easier (pleasant climate in the south, efficient public health, quality education, relative safety), and even a centuries-old Mediterranean merchant heritage that long dominated world trade.

Fig. B: Structures to build

What's missing are structures that expose entrepreneurs massively and quickly to the real mechanism: selling to customers who pay, iterating on the product based on honest feedback, failing fast and starting over immediately, surrounding oneself with peers going through exactly the same difficulties at the same moment (not distant mentors recounting their success from twenty years ago, but co-learners sharing their mistakes from last week), developing a visceral distribution and sales skill that can only be learned through repeated and painful practice, and socially accepting entrepreneurial failure as a normal stage of learning rather than a permanent stigma.

If we build these structures at sufficient scale, with the necessary intensity, focusing obsessively on exposure to reality rather than on the institutional theater of competitions and labels, then we still have every chance. The game isn't over. You just have to play by the real rules, not the ones we've been taught.

We address the challenges we've identified

What is swanbase?


swanbase is a fully remote, year-long acceleration program designed specifically for early-stage European startups.

We are neither a traditional incubator with its administrative constraints, nor a classic accelerator. We are an operational structure that concretely applies the principles of real innovation.

What we offer:

  • · 25+ Expert Masterclasses : biweekly talks led by experienced entrepreneurs and marketers
  • · Unlimited 24/7 Office Hours : direct access to a dedicated Head of Growth and to our network of experts
  • · Actionable Resources : 900+ early-stage investors, 50+ growth marketing resources, recorded talks
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swanbase overview, acceleration program for European startups
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Joining swanbase:

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  • · No middlemen : direct access to experts and mentors
  • · Focus on action : solving concrete problems as they arise

swanbase applies the mechanisms of real innovation. Join a community of entrepreneurs building the future according to the natural rules of the game.

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