A transit platform receding into distance, figures spread along it
LSA_V.01.01 · Post-Industrial School

Luck Surface
Area_Revised

L luck D doing, what you make T telling, who you tell
This is the formula startup culture has repeated for 15 years as the process for making your own luck.
Do more, tell more; therefore, luck has more surface to land on. Feels intuitive. Clean. Correct.
A research output of the Post-Industrial School: reading the shift from the industrial order to what comes after.
Roberts, 2010

Jason Roberts, an entrepreneur and blogger, made this formula infamous in 2010. It has become foundational in startup culture ever since. It is also incomplete.

He argued that luck is not fixed. Luck scales. The serendipity in your life is proportional to doing something you are genuinely passionate about, multiplied by the number of people who come to know about it. That makes sense. He formalized it as L = D × T.

Luck = Doing × Telling.

The idea stuck. 15 years later and it is startup canon, repeated in accelerators and pitches. It lasts because it is simple and actionable. It rewards effort. Work harder in public and luck will find you.

That is exactly why it is worth revising. A formula this widespread is assumed. But things change and it deserves to be examined.

In 15+ years, considering all that has happened in business and technology, it has been repeated far more often than it has been investigated.

01 · the assumption

The flaw is in the Telling (T)

The formula thinks of telling as volume. More people → more surface → more luck. It assumes every channel you tell through is the same channel, where the only difference between them is the amount of reach.

That assumption fails. Telling is not a quantity. It is an environment.

There is a second layer here inside Roberts’ formula that is the insight I am looking for. Not a practical fix, like a list of actions you do or apply for a better outcome, but a structural one, how you rebuild a business model for 21st-century reality. We are instead running a 20th-century model on digital today.

Where you tell beats how much you tell.
02 · vacancy

Serendipity

Serendipity is a useful accident. In the startup space, it is the kind of encounter you didn’t plan that changes what might happen next. A chance encounter that results in a referral. A possible client. It feels like luck.

Serendipity used to be free-range. Its existence was a byproduct of the industrial era. The firm that you worked in put you in a building, assigned you on a team, paid for your conferences and gave you a title that told other people how to relate to you. You never needed to create serendipitous conditions. Institutions and businesses did. This structure has been dissolving in the post-industrial reality of remote work and distributed teams.

The symptoms of its absence

Three things replace that, in a post-industrial work environment.

i
There is a vacated encounter
The collisions and encounters that a workplace used to stage no longer happen on their own. This is a structural issue, not an organizational or company culture failure.
ii
Digital fills the gap
Social and digital media become the default environment for business encounters and connection. Slack, Teams, LinkedIn provide access to a supply of people. These are presented like a serendipitous environment but they deliver almost none of it.
iii
Nobody really likes networking and honestly doesn’t know how to do it
Networking becomes an assumed but untaught skill that assumes the role of a business connection environment to enable serendipitous encounters. But the capacity was never developed, producing reduced benefits and results. The always available channels replaced serendipity with a constant stream of unwanted pitches.
People scattered across a gallery, each alone in the same room
fig. 01 · ambient presence, no encounter
Being around people is not the same as meeting them.
9.4
hours that founders spent per month in social / digital media
03 · measurement

The time-luck inversion

The result is drawn from an exploratory survey of eight founders, comparing their reported time against the serendipity they perceived it returned: where they spent the most time returned the least serendipitous opportunities. And where they spent the least returned the most. 3 different perspectives:

It shows where founders believe their time goes and what they credit, not why some environments pay off and others don’t.

The time-luck inversion looks like proof that you should get off the screen and into the room. But that is the wrong lesson. Decades of supporting research say so, with far more data than a small founder survey.

04 · formula correction

Proximity is
not the
mechanism

Events do not win because they are rooms. They win because they retain three properties that institutions used to supply and no longer do.
Figures moving through an open concourse, some passing between others
fig. 02 · position, not proximity
It’s not about being near people. It’s about being between them.
05 · what it returns
2.62
This is the luck that digital media returns: 2.62 out of 5. It takes more of a founder’s time than any other channel and scores the lowest of them all. Structured events, at less than half the hours, return 3.62. The most effort goes into the worst-returning place.
Why? Digital is always available and requires the least amount of effort. Always on. The quality drops dramatically.
This is not only a story about networking. It is one instance of a larger pattern the Post-Industrial School tracks.
06 · the revision

Put the missing variable back. Luck was never doing × telling. It was doing × telling × the environment you tell into.

L = D × T × e
D doing T telling e environment L luck

Environment is the frame, the conditions of the space that telling happens inside of. Set e near zero and no volume of doing or telling can recover any semblance of luck. Social and digital media are a low-e environment. That is the immediate observation but not the whole finding. This is a working model for thinking about the problem, not a proven law.

07 · the framework

Three tests for e

e is the environment your telling lands in. These three questions test any environment. Run any space you use against them to help determine where the luck leaks out of the cracks.

i
Constraint
Is it bounded? A finite set of people or time.
ii
Frame
Is there a shared task? A verb. A reason to act together.
iii
Friction
Do encounters facilitate a commitment, a synchronous moment?

These three properties can be added to a space you already use: a Slack, a Discord, a group chat, a pitch night. You do not need to build anything. What matters is the design, not the tool. Tools change all the time. These principles do not.

A transit platform receding into distance, figures spread along it
fig. 03 · architecture is a choice
A space has a shape. The shape decides what can happen in it.
constraint · frame · friction
08 · the honesty layer

Summary

Supported
Proximity alone is not the mechanism. Multiple lines of prior research, with far larger samples, point to engineered collision instead.
Inferred
That founders have a revealed preference, not a stated one. Nobody said they preferred digital. They were just simply there.
Argued
That the three properties of constraint, frame and friction are the criteria and they are portable. Rooms have them by accident. Digital spaces can have them by intent.

Method, data and sources →

Digital is the default OS for business now, but startup culture still runs an industrial-era playbook on it. The opportunity is to design digital environments that actually fit how business happens now.

What the industrial era institution used to hand you, you now have to build yourself. This is what building it looks like, in the one place everybody already spends their time: online.

This is one reading of the current business environment. The Post-Industrial School exists to read the rest, to name and shape a new model while it is still forming rather than after it has become standardized.